{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/machine-learning"},"x-facet":{"type":"skill","slug":"machine-learning","display":"Machine Learning","count":100},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8877414b-002"},"title":"Product Lead - Security and Crime Prevention","description":"<p>At bunq, we&#39;re not just building a banking app; we&#39;re reshaping how people around the world experience financial freedom. As our Product Lead - Security and Crime Prevention, you will be the guardian of our users&#39; trust. Your mission is to ensure every user can access bunq safely from anywhere, always, by building a world-class, fortified, and intelligent security ecosystem.</p>\n<p>Take ownership: As our Product Lead - Security and Crime Prevention, you’ll own the product vision and roadmap to protect our users and our platform from constantly evolving threats.</p>\n<p>Own the end-to-end product strategy for security, guiding your team to design and control systems that provide robust protection while maintaining a seamless and beautiful user experience.</p>\n<p>Lead your team in the charge against financial crime by designing, building, and implementing advanced systems for fraud prevention, AML, and sanctions screening that stay ahead of emerging threats.</p>\n<p>Drive the operational excellence of our security functions, empowering your team to leverage automation, AI, and FinCrime modeling to improve efficiency, reduce manual workload, and stay in control of our regulatory obligations.</p>\n<p>Requirements: Proven skills in directly leading and guiding product teams. Familiarity with modern fraud prevention methods and technology. Strong understanding of financial regulations, compliance certifications, and audits. Basic skills in Machine Learning. Ability to think from a user&#39;s perspective, with a keen ability to balance security decisions with the end-user experience. Excellent communication and fluency in English.</p>\n<p>Your space to perform: We give you the space and the tools you need to succeed. Great, international colleagues who share your mindset. Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. Support for growth with bunq Academy and €1500 annual learning budget. Massive discount with Urban Sports Club for your wellbeing. Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices). Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration. Reward for tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office. MacBook provided. Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options. Optional pension plan with monthly contribution from bunq. Private health insurance, just in case. Monthly contribution to your phone and internet bills. Friday drinks and other celebrations - bunq style.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8877414b-002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/product-lead-fraud-and-crime-prevention","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product leadership","security","fraud prevention","AML","sanctions screening","Machine Learning","financial regulations","compliance certifications","audits"],"x-skills-preferred":[],"datePosted":"2026-04-19T13:29:23.585Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product leadership, security, fraud prevention, AML, sanctions screening, Machine Learning, financial regulations, compliance certifications, audits"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d4f189c4-7f6"},"title":"Transaction Reviews Team Lead","description":"<p>As a Transaction Reviews Team Lead, your mission is to stop fraud before it happens, let genuine payments flow instantly, and protect our users without slowing them down.</p>\n<p>At bunq, we make life easy. That means every payment should be fast, safe, and stress-free. When something looks off, users count on us to act fast , with precision, clarity, and care.</p>\n<p>You&#39;ll lead a team of transaction review agents that while ensuring we&#39;re always one step ahead without compromising the user experience.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Take ownership</strong></p>\n<ul>\n<li>Ensure high accuracy in Transaction Reviews by maintaining a low error rate in identifying and blocking suspicious transactions while ensuring legitimate transactions are processed smoothly</li>\n</ul>\n<ul>\n<li>Manage escalations efficiently by making sure user inquiries regarding transaction reviews are addressed within the required timeframe</li>\n</ul>\n<ul>\n<li>Work on continuously improving our review processes by keeping up with evolving suspicious patterns and regulatory requirements</li>\n</ul>\n<p><strong>You&#39;ll thrive in our environment if this sounds like you:</strong></p>\n<ul>\n<li>Your keen attention to detail allows you to spot anomalies in transactions while ensuring error rates remain low</li>\n</ul>\n<ul>\n<li>You&#39;re familiar with AI and machine learning models, and you know how to leverage them to streamline processes and enhance accuracy</li>\n</ul>\n<ul>\n<li>You know how to handle escalations and user inquiries efficiently, ensuring swift resolution with solutions for long-term impact</li>\n</ul>\n<ul>\n<li>You&#39;re passionate about working in a data-driven environment</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>You&#39;re fluent in English</li>\n</ul>\n<ul>\n<li>You’re familiar with transaction monitoring, compliance regulations, and have experience managing operational processes</li>\n</ul>\n<ul>\n<li>You’ve successfully led a team before and know how to inspire and influence your team to achieve their best</li>\n</ul>\n<ul>\n<li>You understand compliance standards and regulatory requirements, enabling you to ensure adherence while improving how things are done</li>\n</ul>\n<ul>\n<li>You can develop realistic schedules and operational plans to tackle backlogs while maintaining high quality and accuracy</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d4f189c4-7f6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/transaction-reviews-team-lead-2","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Transaction Monitoring","Compliance Regulations","Operational Processes"],"x-skills-preferred":[],"datePosted":"2026-04-19T13:28:02.901Z","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"AI, Machine Learning, Transaction Monitoring, Compliance Regulations, Operational Processes"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ea5cbf61-e1b"},"title":"Senior Experience Support Guide","description":"<p>At bunq, we&#39;re looking for a Senior Experience Support Guide to join our team. As a Senior Experience Support Guide, you&#39;ll deliver fast, reliable, and humane support to our customers. You&#39;ll solve issues at their root, not just on the surface, and combine empathy with efficiency to build real user trust.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Delivering best-in-class support by maintaining exceptional response and resolution times</li>\n<li>Going beyond surface-level fixes by identifying root causes and implementing structural solutions</li>\n<li>Continuously improving support operations by optimizing workflows, refining escalation paths, and introducing smart automation</li>\n<li>Leveraging AI tools and data insights to enhance efficiency and proactively improve the user experience</li>\n<li>Acting as a mentor for junior guides by coaching, sharing knowledge, and elevating team performance</li>\n<li>Communicating complex topics in a simple, clear, and reassuring way, always aligned with bunq&#39;s tone of voice</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Thriving in fast-paced environments and delivering both speed and quality</li>\n<li>Naturally empathizing with users and turning frustration into trust</li>\n<li>Having a strong &#39;fix it for good&#39; mindset and digging into root causes</li>\n<li>Being an excellent written communicator who keeps things clear and human</li>\n<li>Enjoying mentoring others and raising the bar for your team</li>\n<li>Loving using AI, data, and automation to work smarter</li>\n<li>Taking full ownership and constantly looking for ways to improve</li>\n</ul>\n<p>If you&#39;re curious to see how we make life easy, try the bunq app – it only takes 5 minutes to sign up.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ea5cbf61-e1b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/senior-support-experience-guide-2","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","data","automation","communication","problem-solving","empathy","teamwork"],"x-skills-preferred":["machine learning","cloud computing","cybersecurity"],"datePosted":"2026-04-19T13:26:18.945Z","employmentType":"FULL_TIME","occupationalCategory":"Customer Support","industry":"Financial Services","skills":"AI, data, automation, communication, problem-solving, empathy, teamwork, machine learning, cloud computing, cybersecurity"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bd2d1b2-84f"},"title":"Senior Machine Learning Researcher","description":"<p>We are seeking a senior machine learning researcher to join our Core AI team.</p>\n<p>As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.</p>\n<p>You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.</p>\n<p>You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.</li>\n</ul>\n<ul>\n<li>Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.</li>\n</ul>\n<ul>\n<li>Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.</li>\n</ul>\n<ul>\n<li>Research and stay updated with the latest advancements in machine learning and AI technologies.</li>\n</ul>\n<ul>\n<li>Participate in code reviews, technical discussions, and knowledge sharing sessions.</li>\n</ul>\n<ul>\n<li>Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.</li>\n</ul>\n<p>Required Skills &amp; Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s with 10+ years, Master&#39;s with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.</li>\n</ul>\n<ul>\n<li>Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.</li>\n</ul>\n<ul>\n<li>Hands-on experience with data processing, experimentation, and exploration.</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python.</li>\n</ul>\n<ul>\n<li>Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills and attention to detail.</li>\n</ul>\n<ul>\n<li>Strong communication skills to collaborate with technical and non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Ability to work independently and collaboratively.</li>\n</ul>\n<p>Additional Preferred Skills &amp; Qualifications:</p>\n<ul>\n<li>Understanding of the financial markets, including experience with financial datasets, is strongly preferred.</li>\n</ul>\n<ul>\n<li>Experience with ML frameworks such as PyTorch, TensorFlow.</li>\n</ul>\n<ul>\n<li>Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.</li>\n</ul>\n<ul>\n<li>Previous experience working in an Agile environment.</li>\n</ul>\n<p>Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1bd2d1b2-84f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT - Artificial Intelligence","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954012324","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$175,000 to $250,000","x-skills-required":["Python","Machine Learning","NLP","GenAI","Agentic technologies","Data processing","Experimentation","Exploration","Cloud platforms (AWS, Azure, GCP)","Problem-solving skills","Communication skills"],"x-skills-preferred":["PyTorch","TensorFlow","MLOps practices and tools (SageMaker, MLflow, Airflow)","Agile environment"],"datePosted":"2026-04-18T22:14:27.951Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, NLP, GenAI, Agentic technologies, Data processing, Experimentation, Exploration, Cloud platforms (AWS, Azure, GCP), Problem-solving skills, Communication skills, PyTorch, TensorFlow, MLOps practices and tools (SageMaker, MLflow, Airflow), Agile environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":175000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c70414d-4e6"},"title":"Full‑Stack data engineer","description":"<p>We are seeking a highly self-sufficient, motivated engineer with strong full-stack data engineering skills to join our team. This is a remote/offshore role that requires autonomy, excellent communication, and the ability to deliver high-quality work with limited supervision while collaborating with a predominantly US-based team.</p>\n<p>You will build reliable, scalable data products and user experiences that power AI/ML modeling, agentic workflows, and reporting,working end-to-end from data ingestion and transformation through to UI. Our Python-based data platform is undergoing a major evolution toward a modern, cloud-native ELT architecture. We are standardizing on Snowflake as our central data platform and dbt as our core transformation framework, implementing scalable, maintainable ELT practices that simplify ingestion, modeling, and deployment.</p>\n<p>This role will be pivotal in independently designing and building robust data pipelines and semantic layers that directly power our AI and machine learning initiatives,delivering clean, reliable, and well-modeled data assets to our data science team for feature engineering, model training, and production inference. You will collaborate closely (primarily via remote channels) with data scientists and ML engineers to ensure our data ecosystem is optimized for experimentation speed, model performance, and seamless integration into downstream products and services.</p>\n<p>Key Responsibilities</p>\n<ul>\n<li>Remote collaboration &amp; communication: Operate effectively as an offshore member of a distributed team, proactively communicating status, risks, and blockers across time zones and coordinating overlap with US working hours as needed.</li>\n</ul>\n<ul>\n<li>Full-stack data engineering: Build across the entire stack, including data ingestion/acquisition and transformation, APIs, front-end components, and automated test suites, delivering production-grade solutions with minimal hand-holding.</li>\n</ul>\n<ul>\n<li>Autonomous delivery &amp; ownership: Take end-to-end ownership of features and projects,clarifying requirements, breaking work into milestones, estimating timelines, and delivering high-quality, well-documented solutions.</li>\n</ul>\n<ul>\n<li>Specification and design: Translate short- and long-term business requirements, architectural considerations, and competing timelines into clear, actionable technical specifications and design documents.</li>\n</ul>\n<ul>\n<li>Code quality: Write clean, maintainable, efficient code that adheres to evolving standards and quality processes, including unit tests and isolated integration tests in containerized environments.</li>\n</ul>\n<ul>\n<li>Continuous improvement: Contribute to agile practices and provide input on technical strategy, architectural decisions, and process improvements, continuously suggesting better tools, patterns, and automation.</li>\n</ul>\n<p>Required Skills &amp; Experience</p>\n<ul>\n<li>Professional experience: 5+ years in software engineering, with a full-stack background building complex, scalable data-engineering pipelines using data warehouse technology, SQL with dbt, Python, AWS with Terraform, and modern UI technologies.</li>\n</ul>\n<ul>\n<li>Modern data engineering: Strong experience with medallion data architecture patterns using data warehouse technologies (e.g., Snowflake), data transformation tooling (e.g., dbt), BI tooling, and NoSQL data marts (e.g., Elasticsearch/OpenSearch).</li>\n</ul>\n<ul>\n<li>Testing and QA: Solid understanding of unit testing, CI/CD automation, and quality assurance processes for both data pipeline testing and operational data quality tests.</li>\n</ul>\n<ul>\n<li>Remote work &amp; autonomy: Proven track record working in a remote or distributed environment, demonstrating self-motivation, reliable execution, and the ability to make sound technical decisions independently.</li>\n</ul>\n<ul>\n<li>Agile methodology: Working knowledge of Agile development practices and workflows (e.g., sprint planning, stand-ups, retrospectives) in a distributed team setting.</li>\n</ul>\n<ul>\n<li>Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.</li>\n</ul>\n<p>Preferred Skills &amp; Experience</p>\n<ul>\n<li>Machine learning and AI: Hands-on experience with large language models (LLMs) and agentic frameworks/workflows.</li>\n</ul>\n<ul>\n<li>Search and analytics: Familiarity with the ELK stack (Elasticsearch, Logstash, Kibana) for search and analytics solutions.</li>\n</ul>\n<ul>\n<li>Cloud expertise: Experience with AWS cloud services; familiarity with SageMaker; and CI/CD tooling such as GitHub Actions or Jenkins.</li>\n</ul>\n<ul>\n<li>Front-end expertise: Experience building user interfaces with Angular or a modern UI stack.</li>\n</ul>\n<ul>\n<li>Financial domain knowledge: Broad understanding of equities, fixed income, derivatives, futures, FX, and other financial instruments.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5c70414d-4e6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"FIC & Risk Technology","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955321460","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Snowflake","dbt","AWS","Terraform","modern UI technologies","data warehouse technology","SQL","unit testing","CI/CD automation","quality assurance processes"],"x-skills-preferred":["machine learning","AI","large language models","agentic frameworks","ELK stack","search and analytics solutions","cloud expertise","AWS cloud services","SageMaker","CI/CD tooling","front-end expertise","Angular","financial domain knowledge"],"datePosted":"2026-04-18T22:13:54.584Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore, Karnataka, India"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Snowflake, dbt, AWS, Terraform, modern UI technologies, data warehouse technology, SQL, unit testing, CI/CD automation, quality assurance processes, machine learning, AI, large language models, agentic frameworks, ELK stack, search and analytics solutions, cloud expertise, AWS cloud services, SageMaker, CI/CD tooling, front-end expertise, Angular, financial domain knowledge"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_efd22dd7-ca8"},"title":"Forecasting Director - US Oncology","description":"<p>At AstraZeneca, we&#39;re not afraid to do things differently. We&#39;re resetting expectations of what a bio-pharmaceutical company can be. This means we&#39;re opening up new ways to work, groundbreaking and cutting-edge methods, and bringing unexpected teams together.</p>\n<p>The Forecasting Director, Oncology leads the US forecasting process for Gynecology+ Genitourinary indications and the LYNPARZA brand in the Oncology portfolio. As a thought partner to the business, the Forecasting Director will develop product-specific short-term and long-term forecasts and provide critical insights into market risks &amp; opportunities that may impact performance to ultimately guide commercial strategy and decision-making.</p>\n<p>Strong analytical and critical thinking skills are essential to developing rigorous forecasts using patient-flow / patient-based models and incorporating new AI capabilities. The Forecasting Director seamlessly collaborates with Insights and Analytics colleagues to deliver fact-driven, actionable insights to the business.</p>\n<p>In addition, the Forecasting Director will closely partner with Marketing, Sales, Market Access, Sales Operations, Global Analytics &amp; Insights, Supply Planning, and Finance to ensure alignment on forecast assumptions and narrative. The Forecasting Director regularly presents to senior leaders the forecast and performance story.</p>\n<p>Key abilities include consultative and influencing skills, quantitative technical skills, and proficiency in interpreting primary market research / secondary data analyses. The Forecasting Director&#39;s deep expertise in forecasting enables them to solve complex technical challenges efficiently and effectively, anticipate upcoming forecast questions, and identify innovative solutions, including AI, that benefit the entire portfolio.</p>\n<p>Beyond brand-level contribution, the Forecasting Director plays an integral role as a leader within the US Oncology Forecasting &amp; Performance CoE (Center of Excellence), helping to deliver cross-brand forecasting alignment, efficiencies, best practices, and capability builds. In addition, the Forecasting Director will help to coach and train a forecasting &amp; performance talent pipeline.</p>\n<p>This role reports to the Integrated Insights Senior Director for the Tumor Franchise and sits within US Integrated Insights - Oncology Business Excellence organization, an inclusive team that partners with the US Oncology commercial organization to drive strategic decisions by providing objective, data-driven insight generation and analytics.</p>\n<p>Roles &amp; Responsibilities:</p>\n<ul>\n<li>Lead the US forecasting and business planning processes and all associated work streams for covered brand / indications (scenario planning, integration with Finance, etc.)</li>\n</ul>\n<ul>\n<li>Develop, build, and maintain up-to-date product-specific short-term and long-term forecasts models, synthesizing an integrated picture with information across multiple sources; as required, manage external agency executing the model build/update</li>\n</ul>\n<ul>\n<li>Proactively and clearly identify key drivers that impact short-term and long-range product and market forecasts, highlighting significant risks and opportunities</li>\n</ul>\n<ul>\n<li>Incorporate AI analytical tools into the forecast process and drive continuing enhancements of the AI forecasting platform</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with key commercial leaders, Business Excellence colleagues, and other forecast stakeholders to align on objective, data-driven forecast inputs</li>\n</ul>\n<ul>\n<li>Provide in-depth analyses of underlying drivers of brand performance in support of key business deliverables and milestones (e.g. Quarterly Business Reviews)</li>\n</ul>\n<ul>\n<li>Monitor external environment to stay up to date on the competitive landscape and latest market developments for covered brand/indications as well as broader Oncology trends</li>\n</ul>\n<ul>\n<li>Consult on primary research and secondary analytics relevant to forecasting, and incorporate results into modeling to add deep customer insight and assess future events</li>\n</ul>\n<ul>\n<li>Deliver insightful, objective presentations to senior leaders (e.g., SVP US Commercial Oncology, VP of US Franchise) that clearly and succinctly highlight critical insights and business implications through strong storytelling</li>\n</ul>\n<ul>\n<li>Collaborate with senior US leaders on performance narrative for C-level audience</li>\n</ul>\n<ul>\n<li>Maintain effective relationships with contractors and other third-party vendors through oversight of the vendor management process</li>\n</ul>\n<ul>\n<li>Direct and help prioritize work of Forecasting &amp; Performance Associate Directors, Sr. Managers, and Sr. Analysts</li>\n</ul>\n<ul>\n<li>Work with US Oncology Forecasting Center of Excellence Senior Director to build forecasting capabilities and identify and drive cross-brand forecasting process efficiencies, automation, and innovation (including AI capabilities)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_efd22dd7-ca8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"LYNPARZA Insights & Analytics","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689799584","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$194,500-$291,800","x-skills-required":["forecasting","data analytics","AI","machine learning","data science","statistics","mathematics","business planning","commercial strategy","market research","competitive intelligence"],"x-skills-preferred":["advanced analytics","primary market research","epidemiological data analysis","SEER data analysis","Kantar data analysis","DRG data analysis"],"datePosted":"2026-04-18T22:13:51.273Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gaithersburg, Maryland, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"forecasting, data analytics, AI, machine learning, data science, statistics, mathematics, business planning, commercial strategy, market research, competitive intelligence, advanced analytics, primary market research, epidemiological data analysis, SEER data analysis, Kantar data analysis, DRG data analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":194500,"maxValue":291800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5dfa9c86-5c0"},"title":"Director, US Forecasting & Analytics– Vaccines & Immune Therapies","description":"<p>Director, US Forecasting &amp; Analytics – Vaccines &amp; Immune Therapies Global Insights, Analytics &amp; Forecasting, BBU Hybrid Work- on average 3 days a week from office</p>\n<p>The Director, US Forecasting &amp; Analytics – Vaccines &amp; Immune Therapies is a senior commercial insights leader responsible for US demand forecasting and analytics across the V&amp;I portfolio. The role is predominantly forecast-focused, serving as the US forecasting lead and strategic thought partner to Marketing, Finance, Market Access, and US teams.</p>\n<p>Responsibilities:</p>\n<p>US Forecasting Leadership (Core Accountability)</p>\n<ul>\n<li>Lead US short-term and long-term demand forecasts (TRx, NBRx, volume, patients, revenue) for V&amp;I assets using robust, patient-based and market-based models</li>\n<li>Own forecast methodology, assumptions, and governance, ensuring objectivity, transparency, and consistency with enterprise standards</li>\n<li>Integrate primary market research, epidemiology, competitive intelligence, access dynamics, and real-world data into forecast models</li>\n<li>Proactively identify and quantify key risks and opportunities through scenario and sensitivity analyses</li>\n<li>Partner closely with Finance, Market Access &amp; Pricing, Marketing, Sales, Medical, and Global Forecasting to ensure alignment on assumptions and implications</li>\n<li>Support business planning, governance reviews, and opportunity assessments with clear, executive-ready narratives</li>\n<li>Serve as a trusted advisor to senior marketing and finance leadership, clearly articulating forecast drivers and changes</li>\n</ul>\n<p>Analytics &amp; Resource Leadership (Enablement)</p>\n<ul>\n<li>Provide leadership over forecasting-adjacent analytics, ensuring advanced analytics and insights are embedded into forecasting and business planning</li>\n<li>Manage and prioritize internal analysts, contractors, and external vendors supporting forecasting and analytics deliverables</li>\n<li>Partner with data analytics resources, Global IA&amp;F, and GIBEX capability teams to deploy new tools, data sources, and modeling approaches</li>\n<li>Champion and identify new ways to embed AI and advanced automation into the practice of data analytics and forecasting to drive efficiency, scalability, and decision quality</li>\n<li>Champion continuous improvement in forecasting processes, AI-enabled modeling, and automation</li>\n<li>Contribute to the development and sharing of best practices across the V&amp;I forecasting community</li>\n</ul>\n<p>Essential for the role</p>\n<ul>\n<li>Bachelor’s degree in a quantitative, scientific, or business-related field required (e.g., Statistics, Economics, Mathematics, Engineering, Computer/Data Science).</li>\n<li>8+ years’ experience in US pharmaceutical commercial forecasting, including in-market and late-stage pipeline assets</li>\n<li>Hands-on model ownership experience (build, refresh, and performance tracking) across short- and long-term horizons</li>\n<li>Expertise in scenario-based forecasting, sensitivity analysis, and driver-based narratives to support senior decision-making</li>\n<li>Strong capability integrating multiple data types (e.g., IQVIA, claims, epidemiology, RWD/RWE, primary research) into coherent, decision-grade forecasts</li>\n<li>Working knowledge of advanced analytics/ML approaches (e.g., time series, causal inference, ensembles) and where they add value vs. traditional methods</li>\n<li>Fluency in modern analytics tooling and automation (e.g., Python/R/SQL, BI/visualization), with ability to partner effectively with data engineering and analytics teams</li>\n<li>Demonstrated forecast governance and model risk discipline (traceable assumptions, documentation, and clear explanations)</li>\n<li>Strong understanding of US market access and payer dynamics and how they impact demand (coverage, contracting, channel, policy)</li>\n<li>Exceptional communication: translates complex analysis into clear, executive-ready insights, options, and recommendations</li>\n<li>Strong commercial competence across key demand levers (positioning, adoption, competitive dynamics, lifecycle events)</li>\n</ul>\n<p>Desirable for the role</p>\n<ul>\n<li>Advanced degree preferred (e.g., MBA, MS, PhD in Statistics, Economics, Decision Sciences, Data Science, or related discipline).</li>\n<li>Vaccines and/or Rare Disease experience, including familiarity with immunization dynamics, patient-based forecasting, and lifecycle management in preventive or immune-mediated therapies</li>\n<li>Change leadership: builds adoption for new tools, processes, and ways of working across cross-functional stakeholders</li>\n<li>Product mindset for forecasting: defines user needs, success metrics, and a roadmap for portfolio forecasting capabilities</li>\n<li>Model lifecycle practices (e.g., reproducibility, versioning, monitoring/drift awareness); familiarity with MLOps concepts</li>\n</ul>\n<p>Office Working Requirements</p>\n<p>When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.</p>\n<p>#LI-Hybrid</p>\n<p>Date Posted 10-Apr-2026 Closing Date 23-Apr-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5dfa9c86-5c0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Global Insights, Analytics & Forecasting - V&I","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689756206","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["forecasting","analytics","model ownership","scenario-based forecasting","sensitivity analysis","driver-based narratives","advanced analytics","machine learning","Python","R","SQL","BI/visualization","data engineering","forecast governance","model risk discipline","US market access","payer dynamics","exceptional communication","commercial competence"],"x-skills-preferred":["vaccines","rare disease","change leadership","product mindset","model lifecycle practices","MLOps"],"datePosted":"2026-04-18T22:13:06.502Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilmington, Delaware, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Healthcare","skills":"forecasting, analytics, model ownership, scenario-based forecasting, sensitivity analysis, driver-based narratives, advanced analytics, machine learning, Python, R, SQL, BI/visualization, data engineering, forecast governance, model risk discipline, US market access, payer dynamics, exceptional communication, commercial competence, vaccines, rare disease, change leadership, product mindset, model lifecycle practices, MLOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_445f055d-c72"},"title":"Senior Genome Editing Target Design Scientist","description":"<p>At Bayer, we&#39;re driven to solve the world&#39;s toughest challenges and strive for a world where &#39;Health for all Hunger for none&#39; is no longer a dream, but a real possibility. Our mission is to sustainably enhance agricultural productivity by seamlessly integrating gene editing and digital technologies, empowering farmers to meet the world&#39;s growing food demands while safeguarding the environment.</p>\n<p>In this role, you will drive an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impact, working with a diverse set of data inputs to develop genotype-to-phenotype predictions using some of the industry&#39;s most extensive and global agriculture and genetic datasets.</p>\n<p>As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while modeling best practices for others and partnering closely with cross-functional scientific, engineering, and IT teams across the company.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies</li>\n<li>Develop and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets</li>\n<li>Develop robust workflows and analysis pipelines that enable cross-team communication, data sharing, and decision-making, supporting iterative learning from key experiments to shape research direction</li>\n<li>Identify and refine methods for capturing complex genetic interactions and the influence of genetic variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines</li>\n<li>Lead or assist in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&amp;D) teams</li>\n<li>Collaborate closely with cross-functional and cross-cultural scientific, engineering, and IT partners to align gene editing and data science approaches with pipeline and business needs</li>\n<li>Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD in Biological Sciences, Computational Biology, or a related field</li>\n<li>At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields</li>\n<li>Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses</li>\n<li>Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry</li>\n<li>Distinct communication skills with fluency in English, both written and verbal</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other closely related discipline</li>\n<li>Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals</li>\n<li>Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges</li>\n<li>Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_445f055d-c72","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop Science","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976820203","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$111,520.00 - $167,280.00","x-skills-required":["genetic discovery tools","gene editing","functional genomics","phenomics","computational biology","molecular biology","genetics","biochemistry","data analysis","data visualization"],"x-skills-preferred":["plant biology","machine learning","deep learning"],"datePosted":"2026-04-18T22:11:48.689Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chesterfield"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"genetic discovery tools, gene editing, functional genomics, phenomics, computational biology, molecular biology, genetics, biochemistry, data analysis, data visualization, plant biology, machine learning, deep learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":111520,"maxValue":167280,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e8aabc91-c80"},"title":"Assistant Manager of Data Analytics","description":"<p>We are seeking an experienced professional to join our team in Shanghai. As Assistant Manager of Data Analytics, you will focus on using data and analytics to drive business activities and outcomes that improve or transform customer strategy, customer segmentation, predictive models, and marketing campaigns.</p>\n<p>Principal Responsibilities: The role holder will conduct customer strategy analysis focusing on acquisition, activation, retention, conversion, and LTV, and deliver actionable insights. Build and maintain customer segmentation frameworks to support targeted and personalized marketing and operations. Leverage advanced data analytics tools and methodologies to develop, validate, and optimize predictive models, contributing to generate high-quality leads. Analyze customer journey, conversion funnels, and drop-off points to identify bottlenecks and recommend experience improvements. Evaluate the performance of marketing campaigns, membership programs, loyalty initiatives, and promotional strategies by measuring ROI, conversion rate, and engagement metrics. Partner with product, marketing, operations, and customer teams to translate data insights into executable strategies and drive business decisions. Support the business team&#39;s campaign needs, including RM lead generation and manual SMS outreach. Develop and maintain customer-focused dashboards, KPIs, and reporting systems.</p>\n<p>To be successful in the role, you should meet the following requirements: Minimum of 5 years&#39; experience in one or multiple skills in data/business analytics in the financial or digital domains. Demonstrated experience in process and analysis of large amounts of data using one of these: Python, R, SQL, or SAS; on environments such as AWS, Google Cloud, or Hadoop. Knowledge and experience in AI, big data, machine learning, or predictive algorithms, statistics modeling, and data mining. Excellent communication and teamwork skills, able to collaborate effectively with different departments and stakeholders. Strong problem-solving skills and innovative thinking, able to translate complex business problems into data analytics solutions. Proven experience in one or more of: customer segmentation, digital marketing, data science, portfolio analytics, use of open-source data in analyses. Good English communication skills, able to collaborate effectively with domestic and international teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e8aabc91-c80","directApply":true,"hiringOrganization":{"@type":"Organization","name":"HSBC International Wealth and Premier Banking","sameAs":"https://portal.careers.hsbc.com","logo":"https://logos.yubhub.co/portal.careers.hsbc.com.png"},"x-apply-url":"https://portal.careers.hsbc.com/careers/job/563774610677890","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","R","SQL","SAS","AWS","Google Cloud","Hadoop","AI","big data","machine learning","predictive algorithms","statistics modeling","data mining"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:11:33.642Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Python, R, SQL, SAS, AWS, Google Cloud, Hadoop, AI, big data, machine learning, predictive algorithms, statistics modeling, data mining"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_79072a0c-85b"},"title":"Behavioral Data Science Intern - Agentic AI & People Analytics","description":"<p>Where do you want to go? What do you want to achieve? How would you like to get involved? At Bayer, we bring together multi-talents and specialists to feed the world, slow climate change, and create healthier, more sustainable lives for all.</p>\n<p>This is the opportunity to start your career with a global leader committed to HealthForAll and HungerForNone. Bring your ideas, skills, and passion with you. Your career starts here.</p>\n<p>Are you passionate about AI, data science, and behavioural insights? Join our Talent Impact team and apply your technical skills to projects that combine machine learning, generative AI, and behavioural science to improve how people work and develop. This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.</p>\n<p>Your tasks and educational objectives:</p>\n<ul>\n<li>Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.</li>\n<li>Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.</li>\n<li>Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.</li>\n<li>Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.</li>\n<li>Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).</li>\n<li>Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.</li>\n</ul>\n<p>Who you are:</p>\n<ul>\n<li>Python programming skills for data processing, modelling, and AI workflows.</li>\n<li>Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).</li>\n<li>Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.</li>\n<li>Solid foundation in data science and machine learning.</li>\n<li>Strong interest in behavioural science, people analytics, and HR.</li>\n<li>Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.</li>\n<li>Curiosity, willingness to learn, and ability to work on-site in Leverkusen.</li>\n<li>Fluent English, written and spoken.</li>\n</ul>\n<p>What we offer:</p>\n<p>Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!</p>\n<ul>\n<li>For a full-time position, you can expect an attractive salary of € 2,214 gross per month.</li>\n<li>Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.</li>\n<li>We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.</li>\n<li>As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.</li>\n<li>We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.</li>\n</ul>\n<p>Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work, for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy</p>\n<p>Our Mission &amp; Strategy:</p>\n<p>Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer. Ready to join us? Apply now and start your 6-month learning journey in Leverkusen!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_79072a0c-85b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949975182354","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","Generative AI","LLM-based systems","Cloud platforms (Azure or AWS)","Databricks","GitHub Spaces","Data science","Machine learning"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:10:44.663Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Leverkusen"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"Python, Generative AI, LLM-based systems, Cloud platforms (Azure or AWS), Databricks, GitHub Spaces, Data science, Machine learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6bfc6b4-74f"},"title":"Senior Data Scientist - Marketing (all genders)","description":"<p>Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers. Together, we build machine learning and analytics products that directly influence GMV, conversion, and retention.</p>\n<p>Within the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.</p>\n<p>As a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:</p>\n<p>Partner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.</p>\n<p>Lead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.</p>\n<p>Work end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.</p>\n<p>Run experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.</p>\n<p>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</p>\n<p>Help define the team&#39;s roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.</p>\n<p>Act as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.</p>\n<p>We&#39;re looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.</p>\n<p>Experience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.</p>\n<p>Additionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you&#39;ll need to work with diverse stakeholders and explain complex topics in a simple way.</p>\n<p>AI proficiency is also a plus, as you&#39;ll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</p>\n<p>If you&#39;re excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c6bfc6b4-74f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2510157","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Statistics","Predictive Analytics","Python","SQL","Marketing Data Science","Attribution Modeling","Customer Lifetime Value Prediction","Churn Modeling","Bid Optimization"],"x-skills-preferred":["AI","CI/CD Pipelines","Retraining Workflows","Lineage Tracking","Documentation","Airflow","dbt","Git"],"datePosted":"2026-04-18T22:10:24.739Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Statistics, Predictive Analytics, Python, SQL, Marketing Data Science, Attribution Modeling, Customer Lifetime Value Prediction, Churn Modeling, Bid Optimization, AI, CI/CD Pipelines, Retraining Workflows, Lineage Tracking, Documentation, Airflow, dbt, Git"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_02c944ab-f9e"},"title":"Senior Data Scientist - Dynamic Pricing & Revenue Management (all genders)","description":"<p>You&#39;ll be part of our new Dynamic Pricing &amp; Revenue Management team, working alongside a Data Analyst and Data Engineer. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic and data driven pricing strategy.</p>\n<p>You&#39;ll work with a large and rich dataset, modern tooling, and teammates who care deeply about impact, collaboration, and learning together. This role is based in Munich with 3 office days per week.</p>\n<p>As a Senior Data Scientist, you&#39;ll take ownership of complex pricing and forecasting models and help us turn analytical ideas into real-world impact for hosts and Holidu. You will:</p>\n<ul>\n<li>Translate business questions into scientific, testable models and clear recommendations.</li>\n<li>Design, build and own machine learning, forecasting and predictive models for revenue management topics such as demand forecasting, price sensitivity, and conversion probability.</li>\n<li>Explore and develop dynamic pricing strategies (e.g. weekend pricing, early discounts, regional similarities) using data and experimentation.</li>\n<li>Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements.</li>\n<li>Drive discussions around model choice, assumptions, and trade-offs, always keeping business impact in mind.</li>\n<li>Monitor model performance, iterate on results, and continuously improve accuracy and relevance.</li>\n<li>Act as a senior sparring partner in the team, sharing knowledge and raising the bar for data science practices.</li>\n</ul>\n<p>You&#39;ll have 5+ years of experience as a Data Scientist, solving a variety of different business problems. You&#39;ll have a strong background in statistics, forecasting, and machine learning. You&#39;ll be hands-on with Python and SQL, and confident working with large datasets. You&#39;ll have a strong interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must).</p>\n<p>You&#39;ll be a self-starter: proactive, hungry to learn, and eager to make an impact. You&#39;ll be able to communicate complex ideas clearly and collaborate with technical and non-technical partners.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_02c944ab-f9e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2518625","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","SQL","Machine Learning","Forecasting","Predictive Modeling","Data Science","Data Analysis","Data Engineering"],"x-skills-preferred":["Dynamic Pricing","Revenue Optimization","Marketplace Dynamics","Cloud Computing","Big Data","Data Visualization"],"datePosted":"2026-04-18T22:10:08.998Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Machine Learning, Forecasting, Predictive Modeling, Data Science, Data Analysis, Data Engineering, Dynamic Pricing, Revenue Optimization, Marketplace Dynamics, Cloud Computing, Big Data, Data Visualization"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c994b912-628"},"title":"Director, Global Enterprise Applications (all genders)","description":"<p>We are seeking a transformational leader to joinälle tonies as Director, Global Enterprise Applications. Reporting directly to the CIO, you will be instrumental in reshaping our technology landscape, scaling our capabilities globally, and driving the successful migration from Microsoft Business Central to SAP S/4HANA Cloud.</p>\n<p>This is a career-defining opportunity to build a modern, high-performing global application function from the ground up and influence how our technology supports growth, scalability, and operational excellence.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the SAP S/4HANA Transformation: Own the successful execution, deployment, and post-go-live support of our global ERP implementation, standardizing processes across all legal entities.</li>\n</ul>\n<ul>\n<li>Build a Global Application Function: Establish the organisational structure, talent, and sustainable operating model for a world-class, global Enterprise Applications department, balancing internal capabilities with external expertise.</li>\n</ul>\n<ul>\n<li>Define and Execute the Application Strategy: Develop the roadmap for our core business applications, including our CRM platforms potentially, ensuring they align with our expansion and new product initiatives.</li>\n</ul>\n<ul>\n<li>Drive Commercial Integration: Ensure seamless, robust, and scalable integration between the core ERP system and our customer-facing systems, particularly our Global E-Commerce Platform, to enable aggressive sales expansion.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Builder-Leader track record: Proven experience building and leading an Enterprise Applications function within a startup or scale-up (or similar mid-market) environment. Strong track record of end-to-end ownership of initiatives, with the ability to operate seamlessly between strategy and execution in high-growth, fast-moving organisations.</li>\n</ul>\n<ul>\n<li>International Experience: You have a proven track record of managing globally distributed models and possess the cultural agility required to lead critical projects across diverse geographies.</li>\n</ul>\n<ul>\n<li>Proven ERP Transformation Success: Extensive, hands-on experience leading large-scale ERP and CRM implementations/migrations ($300M+ organisations), with a strong preference for SAP S/4HANA Cloud or comparable modern ERP systems.</li>\n</ul>\n<ul>\n<li>Enabling Leadership: Experience building support models and processes that balance agility and business needs with the need for security and operational stability, moving the organisation toward best practices.</li>\n</ul>\n<ul>\n<li>Business Acumen: Deep understanding of the core processes in a consumer electronics/media business (e.g., Order-to-Cash, Procure-to-Pay, Record-to-Report).</li>\n</ul>\n<ul>\n<li>Excellent Communication: A track record of successfully influencing and communicating complex technical and organisational topics to the C-suite and business stakeholders.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c994b912-628","directApply":true,"hiringOrganization":{"@type":"Organization","name":"tonies GmbH","sameAs":"https://tonies.jobs.personio.com","logo":"https://logos.yubhub.co/tonies.jobs.personio.com.png"},"x-apply-url":"https://tonies.jobs.personio.com/job/2480455","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["SAP S/4HANA Cloud","ERP","CRM","Global E-Commerce Platform","Microsoft Business Central","Enterprise Applications","Cloud Computing","Digital Transformation"],"x-skills-preferred":["Data Analytics","Cybersecurity","Artificial Intelligence","Machine Learning"],"datePosted":"2026-04-18T22:09:53.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Düsseldorf · London · Berlin"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SAP S/4HANA Cloud, ERP, CRM, Global E-Commerce Platform, Microsoft Business Central, Enterprise Applications, Cloud Computing, Digital Transformation, Data Analytics, Cybersecurity, Artificial Intelligence, Machine Learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_80d15de9-aa7"},"title":"Senior Data Scientist - Rankings & Recommendations (all genders)","description":"<p>Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers.</p>\n<p>You will join a cross-functional Product team, Search Intelligence, which is responsible for optimizing ranking and recommendations for users visiting our website.</p>\n<p>You&#39;ll be part of the broader Data Science team, which operates across cross-functional domain teams - giving you access to shared knowledge, best practices, and collaboration opportunities beyond your domain.</p>\n<p>You’ll collaborate daily with Data Engineers, Analysts, Product Managers, and Back-end Engineers.</p>\n<p>You’ll report to the Team Lead, Data Science.</p>\n<p>Together, we turn data into actionable insights and innovative technology that powers how millions of guests find and book their perfect holiday home.</p>\n<p><strong>Our Tech Stack</strong></p>\n<ul>\n<li>Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow</li>\n</ul>\n<p>The Ranking challenge at Holidu</p>\n<p>Holidu lists over 4 million vacation rental properties. Our ranking and personalization systems determine which of them our 70+ million annual users see, directly impacting search conversion and business results.</p>\n<p>What&#39;s live today:</p>\n<ul>\n<li>Multi-stage ranking pipeline: Reinforcement-learning-based cold ranking, contextual re-ranking, and personalized recommendations.</li>\n</ul>\n<ul>\n<li>Cold-start models for new properties with limited behavioral data.</li>\n</ul>\n<ul>\n<li>Personalized recommendations based on user browsing patterns.</li>\n</ul>\n<p>Some of the hard problems we&#39;re solving:</p>\n<ul>\n<li>Multi-objective optimization: Balancing user relevance, conversion probability, and business value.</li>\n</ul>\n<ul>\n<li>Personalization without history: Most users are anonymous or first-time visitors.</li>\n</ul>\n<ul>\n<li>Cold-start: A significant share of our inventory is new each quarter. How do we surface quality properties before we have behavioral data?</li>\n</ul>\n<p><strong>Your role in this journey</strong></p>\n<p>You&#39;ll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you&#39;ll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.</p>\n<ul>\n<li>Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.</li>\n</ul>\n<ul>\n<li>Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.</li>\n</ul>\n<ul>\n<li>Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.</li>\n</ul>\n<ul>\n<li>Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.</li>\n</ul>\n<ul>\n<li>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</li>\n</ul>\n<ul>\n<li>Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team&#39;s prioritization and project execution.</li>\n</ul>\n<p><strong>Your backpack is filled with</strong></p>\n<ul>\n<li>5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.</li>\n</ul>\n<ul>\n<li>Experience working on ranking models or recommender systems is a strong advantage.</li>\n</ul>\n<ul>\n<li>A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.</li>\n</ul>\n<ul>\n<li>Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.</li>\n</ul>\n<ul>\n<li>Experience with Airflow and dbt is a plus.</li>\n</ul>\n<ul>\n<li>Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.</li>\n</ul>\n<ul>\n<li>A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.</li>\n</ul>\n<ul>\n<li>AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.</li>\n</ul>\n<ul>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.</li>\n</ul>\n<ul>\n<li>Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.</li>\n</ul>\n<ul>\n<li>Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.</li>\n</ul>\n<ul>\n<li>Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.</li>\n</ul>\n<ul>\n<li>Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.</li>\n</ul>\n<p>Need a sneak peek? Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!</p>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our careers page! Your first travel contact will be Lucia from HR.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_80d15de9-aa7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Holidu Hosts GmbH","sameAs":"https://holidu.jobs.personio.com","logo":"https://logos.yubhub.co/holidu.jobs.personio.com.png"},"x-apply-url":"https://holidu.jobs.personio.com/job/2413808","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full-time","x-salary-range":null,"x-skills-required":["Python","Airflow","dbt","AWS","MLflow","Machine Learning","Statistics","Predictive Modeling","SQL"],"x-skills-preferred":["AI","Data Science","Ranking Models","Recommender Systems","Collaboration","Communication"],"datePosted":"2026-04-18T22:09:15.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Airflow, dbt, AWS, MLflow, Machine Learning, Statistics, Predictive Modeling, SQL, AI, Data Science, Ranking Models, Recommender Systems, Collaboration, Communication"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c6831d5f-7e9"},"title":"Principal AI Ops Architect, GPS","description":"<p><strong>Role Overview</strong></p>\n<p>Scale&#39;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.</p>\n<p>Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for national LLMs, and upskilling and advisory services to spread the impact of AI.</p>\n<p>As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.</p>\n<p>At Scale, we&#39;re not just building AI solutions,we&#39;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.</li>\n<li>Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.</li>\n<li>Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.</li>\n<li>Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.</li>\n<li>Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.</li>\n<li>Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.</li>\n<li>Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.</li>\n<li>Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.</li>\n<li>System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.</li>\n<li>Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.</li>\n<li>Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.</li>\n<li>Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.</li>\n<li>Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a leading AI company</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c6831d5f-7e9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4671740005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Cloud Computing","Kubernetes","Vector Databases","Agentic Development","LLM Observability Tools","System Architecture","Global Government Security Standards"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:02:05.605Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Cloud Computing, Kubernetes, Vector Databases, Agentic Development, LLM Observability Tools, System Architecture, Global Government Security Standards"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9a42f26c-511"},"title":"Evals Engineer, Applied AI","description":"<p>We are seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry&#39;s leading GenAI Evaluation Suite.</p>\n<p>As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale&#39;s Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.</p>\n<p>Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. You will design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems, including creating models that critique, grade, and explain agent outputs.</p>\n<p>To succeed in this role, you will need a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and the ability to thrive in a dynamic, fast-paced research environment. You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.</p>\n<p>In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.</p>\n<p>If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9a42f26c-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4629589005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Python","PyTorch","TensorFlow","Large Language Models","Generative AI","Machine Learning","Applied Research","Evaluation Infrastructure"],"x-skills-preferred":["Advanced degree in Computer Science, Machine Learning, or a related quantitative field","Published research in leading ML or AI conferences","Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems","Experience collaborating with operations or external teams to define high-quality human annotator guidelines","Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis"],"datePosted":"2026-04-18T16:01:26.736Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, Large Language Models, Generative AI, Machine Learning, Applied Research, Evaluation Infrastructure, Advanced degree in Computer Science, Machine Learning, or a related quantitative field, Published research in leading ML or AI conferences, Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems, Experience collaborating with operations or external teams to define high-quality human annotator guidelines, Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_780e371b-60c"},"title":"STEM Fellow - Human Frontier Collective (US)","description":"<p>This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.</p>\n<p>As an HFC Fellow, you&#39;ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.</p>\n<p>Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you&#39;ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale&#39;s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.</p>\n<p>Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.</p>\n<p>Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_780e371b-60c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://humanfrontiercollective.org/","logo":"https://logos.yubhub.co/humanfrontiercollective.org.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4574113005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"contract","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Computer Science","Physics","Biology","Chemistry","Mathematics","Humanities"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:01:26.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Computer Science, Physics, Biology, Chemistry, Mathematics, Humanities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a8d34aff-3e5"},"title":"Applied AI Engineer, Global Public Sector","description":"<p>We&#39;re hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI.</p>\n<p>You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models</li>\n<li>Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets</li>\n<li>Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models</li>\n<li>Participating in customer engagements, including occasional travel (approximately two weeks per quarter)</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)</li>\n<li>7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++</li>\n<li>2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines</li>\n<li>Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)</li>\n<li>Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets</li>\n<li>Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience working at a startup, particularly as founding engineer</li>\n<li>Experience building and deploying large-scale AI solutions</li>\n<li>Strong written and verbal communication skills to operate in a cross-functional team environment</li>\n<li>Proficiency in Arabic (if focused on language models)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a8d34aff-3e5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4413992005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/JavaScript","Java","C++","Cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)"],"x-skills-preferred":["Experience working at a startup, particularly as founding engineer","Experience building and deploying large-scale AI solutions","Strong written and verbal communication skills to operate in a cross-functional team environment","Proficiency in Arabic (if focused on language models)"],"datePosted":"2026-04-18T16:00:59.864Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar; London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/JavaScript, Java, C++, Cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure), Experience working at a startup, particularly as founding engineer, Experience building and deploying large-scale AI solutions, Strong written and verbal communication skills to operate in a cross-functional team environment, Proficiency in Arabic (if focused on language models)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_89a98b47-e2f"},"title":"STEM Fellow - Human Frontier Collective (UK)","description":"<p>This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.</p>\n<p>As an HFC Fellow, you&#39;ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.</p>\n<p>Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance.</p>\n<p>HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.</p>\n<p>Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition.</p>\n<p>Who Should Apply: Education: PhDs, postdoctoral researchers, and professors with domain expertise in STEM fields such as Computer Science, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities, or other related disciplines.</p>\n<p>Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.</p>\n<p>Why Join the HFC? Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.</p>\n<p>Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.</p>\n<p>Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.</p>\n<p>Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_89a98b47-e2f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://www.humanfrontiercollective.com/","logo":"https://logos.yubhub.co/humanfrontiercollective.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4620719005","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"contract","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Physics","Biology","Chemistry","Mathematics","Humanities"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:55.155Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United Kingdom"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Physics, Biology, Chemistry, Mathematics, Humanities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_932deed1-44d"},"title":"Lead Counsel, Product and Intellectual Property","description":"<p>Join our legal team to work on exciting legal, policy, and operational issues at the leading edge of AI. As product counsel, you will advise on all legal aspects of product development, launch, and operations, including regulatory compliance, user terms, and risk management. You will lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization. You will partner with cross-functional teams to mitigate IP risks in product development, data licensing, and open-source governance. You will support management of Scale&#39;s worldwide IP portfolio, including patents and trademarks, and assist with patent prosecution and trademark registration and enforcement. You will advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements, and design open-source governance policies. You will support drafting and negotiation of commercial agreement provisions involving intellectual property. You will provide counsel on machine learning, robotics, and other technical areas, with the ability to engage effectively with technical teams on complex engineering and product issues. You will develop and deliver IP and data licensing training to enhance Scale&#39;s compliance culture.</p>\n<p>Ideally, you will have 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department, with experience advising on broader product or regulatory matters. You will have a JD and active membership in at least one U.S. state bar (California preferred) in good standing. You will have strategic thinking, risk calibration, collaboration, agility, and organizational skills. You will have a deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_932deed1-44d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4651614005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$231,000-$288,750 USD","x-skills-required":["Intellectual Property Law","Product Development","Regulatory Compliance","Risk Management","Patent Prosecution","Trademark Registration and Enforcement","Open-Source Governance","Machine Learning","Robotics","Technical Writing"],"x-skills-preferred":["Artificial Intelligence","Generative AI","Collaboration","Strategic Thinking","Risk Calibration","Agility","Organizational Skills"],"datePosted":"2026-04-18T16:00:52.789Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"Intellectual Property Law, Product Development, Regulatory Compliance, Risk Management, Patent Prosecution, Trademark Registration and Enforcement, Open-Source Governance, Machine Learning, Robotics, Technical Writing, Artificial Intelligence, Generative AI, Collaboration, Strategic Thinking, Risk Calibration, Agility, Organizational Skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":231000,"maxValue":288750,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d30384aa-64a"},"title":"Strategic Projects Lead - Coding","description":"<p>Scale&#39;s Generative AI business unit is experiencing historic levels of growth. As a Strategic Projects Lead, you will lead initiatives that drive $XXM+ in new revenue for the business. This is a demanding role, requiring a strong entrepreneurial mindset, comfort with getting into the weeds, and excitement about intense, impactful work that leads to accelerated career progression.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Serve as the full owner of our most visible and high-impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins</li>\n<li>Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs</li>\n<li>Build out pipeline infrastructure to ensure quality and efficiency</li>\n<li>Train, coach, and manage dynamic and global teams</li>\n<li>Build analytics to make data-driven decisions</li>\n<li>Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world</li>\n<li>Give regular progress updates to Scale&#39;s executive team</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering</li>\n<li>3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE</li>\n<li>Strong problem-solving capabilities in technical environments</li>\n<li>Ability to come up with creative solutions to complex, ambiguous, operational, and technical problems</li>\n<li>Entrepreneurial experience and mindset</li>\n</ul>\n<p>Compensation and Benefits: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d30384aa-64a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4666036005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$112,000-$190,000 USD","x-skills-required":["Machine Learning Engineering","Computer Science","Software Engineering","SQL","Python","Data Analytics"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:51.409Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning Engineering, Computer Science, Software Engineering, SQL, Python, Data Analytics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":112000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e8abf445-c26"},"title":"Staff Applied AI Engineer, Enterprise GenAI","description":"<p>We&#39;re looking for a Staff Applied AI Engineer to join our Enterprise Engineering team. As an Applied AI Engineer, you&#39;ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins.</p>\n<p>Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you&#39;ll use to improve your product&#39;s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!</p>\n<p>You will:</p>\n<ul>\n<li>Own, plan, and optimize the AI behind our Enterprise customer&#39;s deepest technical problems</li>\n<li>Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more</li>\n<li>Have experience gathering business requirements and translating them into technical solutions</li>\n<li>Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs</li>\n<li>Push production code in multiple development environments, writing and debugging code directly in both our customer&#39;s and Scale&#39;s codebases.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>7+ years of full-time engineering experience, post-graduation</li>\n<li>A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals</li>\n<li>Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.</li>\n<li>Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results</li>\n<li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment</li>\n<li>Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Strong knowledge of software engineering best practices</li>\n<li>Have built applications taking advantage of Generative AI in real, production use cases</li>\n<li>Familiarity with state of the art LLMs and their strengths/weaknesses</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e8abf445-c26","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4683689005","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Python","Machine Learning","Cloud Technology Stack","Data-Driven Approach","Software Engineering Best Practices"],"x-skills-preferred":["Generative AI","State of the Art LLMs"],"datePosted":"2026-04-18T16:00:44.071Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Cloud Technology Stack, Data-Driven Approach, Software Engineering Best Practices, Generative AI, State of the Art LLMs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_49dd5e7a-0ec"},"title":"Engagement Manager (Homeland Layered Defense), Public Sector","description":"<p>As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States.</p>\n<p>You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.</p>\n<p>All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions</li>\n</ul>\n<ul>\n<li>Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous</li>\n</ul>\n<ul>\n<li>Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains</li>\n</ul>\n<ul>\n<li>Leading a cross-functional team to exceed the customer’s AI/ML objectives</li>\n</ul>\n<ul>\n<li>Supporting and partnering across B2B and B2G organisations to achieve the outcomes in delivering the greater layered defense for the United States</li>\n</ul>\n<p>We have a diverse team with a variety of skill sets, many have:</p>\n<ul>\n<li>5+ years of professional experience, often in a customer-facing technical program management role in industry or government.</li>\n</ul>\n<ul>\n<li>A proven track record in B2B or government client-facing roles and expanding client relationships</li>\n</ul>\n<ul>\n<li>Prior experience leading engagements with government customers</li>\n</ul>\n<p>Must-haves include:</p>\n<ul>\n<li>An active TS/SCI clearance</li>\n</ul>\n<ul>\n<li>Minimum of 3 years of work experience leading teams / programs in industry or government</li>\n</ul>\n<ul>\n<li>A basic understanding of ML operations process</li>\n</ul>\n<ul>\n<li>A track record of structured, analytics-driven problem-solving</li>\n</ul>\n<ul>\n<li>Excellent verbal and written communication skills</li>\n</ul>\n<ul>\n<li>Willingness to travel at least 25% of the time</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_49dd5e7a-0ec","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636248005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$163,900-$245,300 USD","x-skills-required":["Agentic AI","AI/ML technologies","Computer vision","Generative AI","Machine learning operations process","Structured, analytics-driven problem-solving","Excellent verbal and written communication skills","Project management","Customer relationship management"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:32.609Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colorado Springs, CO"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Agentic AI, AI/ML technologies, Computer vision, Generative AI, Machine learning operations process, Structured, analytics-driven problem-solving, Excellent verbal and written communication skills, Project management, Customer relationship management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":163900,"maxValue":245300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d35e26ec-593"},"title":"Forward Deployed Engineer, GenAI","description":"<p>About Scale AI</p>\n<p>At Scale AI, our mission is to accelerate the development of AI applications.</p>\n<p>As a Forward Deployed Engineer, you&#39;ll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.</li>\n</ul>\n<ul>\n<li>Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.</li>\n</ul>\n<ul>\n<li>End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.</li>\n</ul>\n<ul>\n<li>Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.</li>\n</ul>\n<ul>\n<li>Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product.</li>\n</ul>\n<ul>\n<li>Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least 2 years of relevant experience is preferred</li>\n</ul>\n<ul>\n<li>Proven track record of shipping high-quality products and features at scale.</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and the ability to work independently or as part of a collaborative team.</li>\n</ul>\n<ul>\n<li>Desire to thrive in a fast-paced, dynamic environment.</li>\n</ul>\n<ul>\n<li>Ability to turn business and product ideas into engineering solutions.</li>\n</ul>\n<ul>\n<li>Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.</li>\n</ul>\n<ul>\n<li>Ability to adapt quickly to the ever-changing world of generative AI.</li>\n</ul>\n<ul>\n<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n</ul>\n<ul>\n<li>Retirement benefits</li>\n</ul>\n<ul>\n<li>A learning and development stipend</li>\n</ul>\n<ul>\n<li>Generous PTO</li>\n</ul>\n<ul>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range:</p>\n<p>$179,400-$224,250 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d35e26ec-593","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4593571005","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$179,400-$224,250 USD","x-skills-required":["large-scale data processing","distributed systems","machine learning","AI concepts","cloud-based infrastructure"],"x-skills-preferred":["experience working directly with enterprise customers","experience with reinforcement learning with human feedback"],"datePosted":"2026-04-18T16:00:22.735Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale data processing, distributed systems, machine learning, AI concepts, cloud-based infrastructure, experience working directly with enterprise customers, experience with reinforcement learning with human feedback","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":179400,"maxValue":224250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61e346b2-915"},"title":"Sr. Software Engineer, Inference","description":"<p>Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.</p>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>High-performance, large-scale distributed systems</li>\n<li>Implementing and deploying machine learning systems at scale</li>\n<li>Load balancing, request routing, or traffic management systems</li>\n<li>LLM inference optimization, batching, and caching strategies</li>\n<li>Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Python or Rust</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have significant software engineering experience, particularly with distributed systems</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Want to learn more about machine learning systems and infrastructure</li>\n<li>Thrive in environments where technical excellence directly drives both business results and research breakthroughs</li>\n<li>Care about the societal impacts of your work</li>\n</ul>\n<p>Representative projects across the org:</p>\n<ul>\n<li>Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators</li>\n<li>Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads</li>\n<li>Building production-grade deployment pipelines for releasing new models to millions of users</li>\n<li>Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage</li>\n<li>Contributing to new inference features (e.g., structured sampling, prompt caching)</li>\n<li>Supporting inference for new model architectures</li>\n<li>Analyzing observability data to tune performance based on real-world production workloads</li>\n<li>Managing multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p>Deadline to apply: None. Applications will be reviewed on a rolling basis.</p>\n<p>The annual compensation range for this role is £225,000-£325,000 GBP.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61e346b2-915","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5152348008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000-£325,000 GBP","x-skills-required":["High-performance, large-scale distributed systems","Implementing and deploying machine learning systems at scale","Load balancing, request routing, or traffic management systems","LLM inference optimization, batching, and caching strategies","Kubernetes and cloud infrastructure (AWS, GCP)","Python or Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:17.377Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"High-performance, large-scale distributed systems, Implementing and deploying machine learning systems at scale, Load balancing, request routing, or traffic management systems, LLM inference optimization, batching, and caching strategies, Kubernetes and cloud infrastructure (AWS, GCP), Python or Rust","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5920f836-9df"},"title":"Manager, Machine Learning Research Scientist, GenAI","description":"<p>Scale AI accelerates the development of AI systems by providing data, infrastructure, and tooling that power advanced models. As AI evolves from static models to dynamic, agentic systems, Scale builds foundational research, evaluation methodologies, and agent/RL infrastructure.</p>\n<p>As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, defining the research roadmap and driving execution from early prototyping to deployment. You&#39;ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>5+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams, mentoring, coaching, and developing talent</li>\n<li>Excellent written and verbal communication skills, articulating research ideas and outcomes to technical and non-technical stakeholders</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5920f836-9df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4631811005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$273,000-$393,000 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","publication","open-source contribution"],"x-skills-preferred":["PhD in machine learning or related domain","experience with large language models","post-training evaluation","agentic/RL environments"],"datePosted":"2026-04-18T16:00:09.239Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, publication, open-source contribution, PhD in machine learning or related domain, experience with large language models, post-training evaluation, agentic/RL environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":273000,"maxValue":393000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0cd9dcc6-813"},"title":"Solutions Engineer, Enterprise","description":"<p>We&#39;re looking for a Solutions Engineer to join our Enterprise team. As a Solutions Engineer, you will play a vital role in the development of AI applications. You will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the &#39;technical win&#39;. You will scope customer technical requirements and develop an actionable Statement of Work. You will work closely with the delivery team to help with initial implementation.</p>\n<p>Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer&#39;s requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the &#39;technical win&#39; by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop &#39;Scopes of Work&#39; by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.</p>\n<p>Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.</p>\n<p>Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0cd9dcc6-813","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4642876005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Generative AI","large language model applications","Python","Java","web development languages","enterprise SaaS","cloud tech","finance","fintech"],"x-skills-preferred":["GenAI Experience","Forward deployed engineering experience","Machine Learning Experience"],"datePosted":"2026-04-18T16:00:07.677Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, large language model applications, Python, Java, web development languages, enterprise SaaS, cloud tech, finance, fintech, GenAI Experience, Forward deployed engineering experience, Machine Learning Experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_94b058de-e59"},"title":"Solutions Engineer, Enterprise","description":"<p>We are seeking a Solutions Engineer to join our team. As a Solutions Engineer, you will play a vital role in the development of AI applications. You will partner closely with Account Executives, Product, and Machine Learning Engineers to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. You will scope customer technical requirements and develop an actionable Statement of Work. You will work closely with the delivery team to help with initial implementation.</p>\n<p>You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.</p>\n<p>Ideally, you&#39;d have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.</p>\n<p>Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_94b058de-e59","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4554440005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$225,000 USD","x-skills-required":["Python","Java","web development languages","GenAI","Machine Learning","enterprise SaaS","cloud tech","finance","fintech"],"x-skills-preferred":["GenAI Experience","Forward deployed engineering experience","Machine Learning Experience"],"datePosted":"2026-04-18T15:59:54.301Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, web development languages, GenAI, Machine Learning, enterprise SaaS, cloud tech, finance, fintech, GenAI Experience, Forward deployed engineering experience, Machine Learning Experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_42f1b94b-959"},"title":"Segment Marketing Manager, Financial Services & Insurance","description":"<p>As a Segment Marketing Manager for Financial Services &amp; Insurance at Anthropic, you will own the end-to-end demand marketing strategy for one of the most consequential verticals in our go-to-market motion.</p>\n<p>Financial services and insurance organisations are among the earliest adopters of enterprise AI, and this role sits at the intersection of deep industry expertise and Anthropic&#39;s mission to build safe, reliable AI systems that deliver real business value.</p>\n<p>You&#39;ll be responsible for developing and executing industry campaigns, ABM, and targeted marketing programs that drive awareness, pipeline, and adoption of Claude and Anthropic&#39;s API among financial institutions, insurers, and related firms.</p>\n<p>This means deeply understanding the unique challenges, regulatory landscape, and decision-making dynamics of this segment , and translating that understanding into campaigns, content, and experiences that resonate with technical and business stakeholders alike.</p>\n<p>This is an ideal opportunity for someone who thrives at the intersection of strategic thinking and hands-on execution, and who is energised by the challenge of bringing frontier AI technology to an industry where trust, compliance, and reliability are non-negotiable.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and own the marketing strategy for the Financial Services &amp; Insurance segment, including positioning, messaging, campaign planning, and go-to-market coordination in close partnership with Sales</li>\n</ul>\n<ul>\n<li>Create and execute integrated marketing programs , spanning digital, content, events, and partner channels , designed to generate pipeline and accelerate the sales cycle for enterprise prospects in this vertical</li>\n</ul>\n<ul>\n<li>Build a deep understanding of the competitive landscape, buyer personas, and AI adoption patterns specific to financial services and insurance, and translate those insights into actionable marketing strategies</li>\n</ul>\n<ul>\n<li>Develop segment-specific content including case studies, solution guides, thought leadership pieces, and enablement materials that speak to the priorities and pain points of this industry</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with product, sales, communications, design, and research teams to ensure marketing efforts are aligned with product capabilities and business objectives</li>\n</ul>\n<ul>\n<li>Design and implement ABM campaigns for top strategic accounts</li>\n</ul>\n<ul>\n<li>Manage relationships with industry analysts, event organisers, and strategic partners to expand Anthropic&#39;s reach and credibility within the segment</li>\n</ul>\n<ul>\n<li>Define and track key performance metrics for segment marketing programs, using data to continuously optimise campaigns and report on impact to leadership</li>\n</ul>\n<ul>\n<li>Stay current with regulatory developments, industry trends, and evolving AI adoption dynamics in financial services to inform marketing positioning and content strategy</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 7+ years of experience in B2B marketing, with a focus on enterprise technology or SaaS, and demonstrated expertise in one or more verticals within financial services or insurance</li>\n</ul>\n<ul>\n<li>Have a strong track record of developing and executing integrated marketing programs that have measurably driven pipeline and revenue in complex, enterprise sales cycles</li>\n</ul>\n<ul>\n<li>Understand the decision-making dynamics, regulatory considerations, and technology evaluation processes that are common in financial services organisations</li>\n</ul>\n<ul>\n<li>Are skilled at translating complex technical capabilities into compelling, audience-specific narratives , particularly for both technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Have experience collaborating closely with enterprise sales teams to align marketing strategy with deal-stage needs and pipeline goals</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and can balance long-term strategic planning with rapid, tactical execution in a fast-moving environment</li>\n</ul>\n<ul>\n<li>Are a strong communicator who can present clearly to leadership, cross-functional partners, and external audiences</li>\n</ul>\n<ul>\n<li>Care about ensuring that AI systems are developed safely and responsibly, and are excited about communicating that story to a sophisticated audience</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience marketing AI or machine learning products to regulated industries</li>\n</ul>\n<ul>\n<li>Familiarity with the specific compliance and risk management frameworks relevant to financial services (e.g., SOC 2, SOX, banking regulations)</li>\n</ul>\n<ul>\n<li>Background in analyst relations or thought leadership programmes within the financial services technology space</li>\n</ul>\n<ul>\n<li>Experience working at a high-growth technology company navigating rapid expansion into new verticals</li>\n</ul>\n<ul>\n<li>A track record of building segment marketing functions from the ground up or scaling them in fast-moving organisations</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $255,000-$320,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_42f1b94b-959","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5102259008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$320,000 USD","x-skills-required":["B2B marketing","Enterprise technology","SaaS","Financial services","Insurance","AI adoption","Regulatory compliance","Risk management","Data analysis","Strategic planning","Tactical execution","Communication","Presentation"],"x-skills-preferred":["Machine learning","Cloud computing","Cybersecurity","Digital marketing","Content creation","Event planning","Partner management","Analyst relations","Thought leadership"],"datePosted":"2026-04-18T15:59:51.464Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"B2B marketing, Enterprise technology, SaaS, Financial services, Insurance, AI adoption, Regulatory compliance, Risk management, Data analysis, Strategic planning, Tactical execution, Communication, Presentation, Machine learning, Cloud computing, Cybersecurity, Digital marketing, Content creation, Event planning, Partner management, Analyst relations, Thought leadership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78eea632-7b6"},"title":"Deep Research Agent Tech Lead","description":"<p>We&#39;re seeking a highly technical and strategic Staff/Senior Staff Machine Learning Engineer to act as the Tech Lead for our next-generation deep research agents for the Enterprise.</p>\n<p>This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency.</p>\n<p>The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Technical Leadership &amp; Vision</strong></p>\n<ul>\n<li>Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals.</li>\n</ul>\n<ul>\n<li>Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities.</li>\n</ul>\n<ul>\n<li>Core Agent Capabilities Development:</li>\n</ul>\n<p><strong>Advanced Knowledge Retrieval</strong>: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises.</p>\n<p><strong>Data Analysis</strong>: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas.</p>\n<p><strong>Multimodal Intelligence</strong>: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent&#39;s knowledge base.</p>\n<p><strong>Architecture &amp; Design</strong>: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.</p>\n<p><strong>Technical Excellence</strong>: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems.</p>\n<p><strong>Team Leadership &amp; Mentorship</strong></p>\n<ul>\n<li>Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth.</li>\n</ul>\n<ul>\n<li>Recruiting &amp; Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team.</li>\n</ul>\n<ul>\n<li>Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions.</li>\n</ul>\n<p><strong>Basic Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.</li>\n</ul>\n<ul>\n<li>8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.</li>\n</ul>\n<ul>\n<li>Deep expertise in Generative AI and Large Language Models (LLMs).</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.</li>\n</ul>\n<ul>\n<li>Experience with large-scale distributed systems and real-time data processing.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Advanced degree (Master&#39;s or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.</li>\n</ul>\n<ul>\n<li>Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms.</li>\n</ul>\n<ul>\n<li>Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems.</li>\n</ul>\n<ul>\n<li>Experience with vector databases and advanced retrieval techniques.</li>\n</ul>\n<ul>\n<li>A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD).</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers.</li>\n</ul>\n<ul>\n<li>Experience driving cross-team technical initiatives that have delivered significant business impact.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_78eea632-7b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4623590005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Generative AI","Large Language Models (LLMs)","Agentic Frameworks","Machine Learning","Deep Learning","Applied Research","Distributed Systems","Real-time Data Processing"],"x-skills-preferred":["Text-to-SQL Systems","Multimodal AI","Reinforcement Learning (RL)","Reasoning and Planning","Agentic Systems","Vector Databases","Advanced Retrieval Techniques"],"datePosted":"2026-04-18T15:59:45.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Large Language Models (LLMs), Agentic Frameworks, Machine Learning, Deep Learning, Applied Research, Distributed Systems, Real-time Data Processing, Text-to-SQL Systems, Multimodal AI, Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems, Vector Databases, Advanced Retrieval Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6365e7d7-511"},"title":"Senior Forward Deployed Data Scientist/Engineer","description":"<p>We&#39;re hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.</p>\n<p>This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.</p>\n<p>The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6f598f99-758"},"title":"Senior+ Software Engineer, Research Tools","description":"<p>We&#39;re looking for a Senior+ Software Engineer to join our Research Tools team. As a member of this team, you&#39;ll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.</p>\n<p>This role sits at the intersection of product thinking and full-stack engineering. You&#39;ll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you&#39;re building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.</p>\n<p>We&#39;re looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results</li>\n<li>Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions</li>\n<li>Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient</li>\n<li>Create reusable platforms and tools that accelerate the development of new research applications</li>\n<li>Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage</li>\n<li>Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration</li>\n<li>Contribute to technical strategy and architectural decisions for research tooling</li>\n<li>Mentor other engineers and help establish best practices for research application development</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of software engineering experience with a strong focus on full-stack development</li>\n<li>Excel at rapid iteration and shipping,you can move from concept to working prototype quickly</li>\n<li>Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)</li>\n<li>Demonstrate high agency and ability to operate independently in ambiguous environments</li>\n<li>Can quickly develop deep understanding of complex technical domains</li>\n<li>Have strong product instincts and can identify the right problems to solve</li>\n<li>Are proficient with modern web technologies (React, TypeScript, Python, etc.)</li>\n<li>Have a track record of building user-facing applications that are actually used and loved by their target audience</li>\n<li>Communicate effectively with both technical and non-technical stakeholders</li>\n<li>Care about the societal impacts of your work and are motivated by Anthropic&#39;s mission</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building research tools, scientific software, or experimentation platforms</li>\n<li>Background in machine learning, AI research, or working closely with ML researchers</li>\n<li>Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools</li>\n<li>Built open-source tools or platforms with active user communities</li>\n<li>Experience with data visualization, interactive interfaces, or novel interaction paradigms</li>\n<li>Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)</li>\n<li>Experience leveraging AI/LLMs to build more powerful or efficient tools</li>\n<li>Previous work in creative tools, artist tools, or other domains requiring deep user empathy</li>\n<li>Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment</li>\n</ul>\n<p>Annual compensation range for this role is $300,000-$405,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6f598f99-758","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4981828008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["full-stack development","modern web technologies","React","TypeScript","Python","rapid iteration","shipping","product instincts","problem-solving","communication","societal impacts"],"x-skills-preferred":["research tools","scientific software","experimentation platforms","machine learning","AI research","open-source tools","data visualization","interactive interfaces","novel interaction paradigms","engineering platforms","internal tooling","AI/LLMs","creative tools","artist tools","human-computer interaction","systems safety","AI alignment"],"datePosted":"2026-04-18T15:59:42.608Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack development, modern web technologies, React, TypeScript, Python, rapid iteration, shipping, product instincts, problem-solving, communication, societal impacts, research tools, scientific software, experimentation platforms, machine learning, AI research, open-source tools, data visualization, interactive interfaces, novel interaction paradigms, engineering platforms, internal tooling, AI/LLMs, creative tools, artist tools, human-computer interaction, systems safety, AI alignment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_853e1417-019"},"title":"Solutions Architect, Applied AI (National Security)","description":"<p>As a Solutions Architect, Applied AI (National Security), you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You will combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>The annual compensation range for this role is $240,000-$270,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_853e1417-019","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5079511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$270,000 USD","x-skills-required":["TS/SCI clearance","Prior experience working with US national security (defense and/or intelligence) agencies","Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager","Experience navigating complex buying cycles involving multiple stakeholders","Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders","Experience designing scalable cloud architectures and integrating with enterprise systems","Familiar with Python","Familiarity with common LLM frameworks and tools or a background in machine learning or data science"],"x-skills-preferred":["Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more","Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities","A love of teaching, mentoring, and helping others succeed","Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders","Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems"],"datePosted":"2026-04-18T15:59:41.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TS/SCI clearance, Prior experience working with US national security (defense and/or intelligence) agencies, Technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager, Experience navigating complex buying cycles involving multiple stakeholders, Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders, Experience designing scalable cloud architectures and integrating with enterprise systems, Familiar with Python, Familiarity with common LLM frameworks and tools or a background in machine learning or data science, Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more, Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities, A love of teaching, mentoring, and helping others succeed, Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6ddce508-2c7"},"title":"ML Systems Engineer, Robotics","description":"<p>We&#39;re looking for an experienced ML Systems Engineer to join our Physical AI team. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Build &amp; Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.</li>\n<li>Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.</li>\n<li>Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.</li>\n<li>Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.</li>\n<li>Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.</li>\n<li>Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.</li>\n<li>Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).</li>\n<li>Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).</li>\n<li>Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.</li>\n<li>Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).</li>\n<li>IaC: Familiarity with infrastructure as code (e.g., Terraform).</li>\n<li>Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.</li>\n</ul>\n<p>Nice to Haves:</p>\n<ul>\n<li>Exposure to Vision-Language-Action (VLA) models.</li>\n<li>Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).</li>\n<li>Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6ddce508-2c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4663053005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$227,200-$284,000 USD","x-skills-required":["Machine Learning","Backend Systems","Cloud Environments","GPU-Level Algorithm Optimizations","Systems-Level Languages","Containerization","Orchestration","Cloud Providers","Infrastructure as Code"],"x-skills-preferred":["Vision-Language-Action Models","High-Performance Video Processing","3D Data Handling","Robotics Middleware","AV Data Formats"],"datePosted":"2026-04-18T15:59:25.195Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Backend Systems, Cloud Environments, GPU-Level Algorithm Optimizations, Systems-Level Languages, Containerization, Orchestration, Cloud Providers, Infrastructure as Code, Vision-Language-Action Models, High-Performance Video Processing, 3D Data Handling, Robotics Middleware, AV Data Formats","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":227200,"maxValue":284000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5148e11a-96e"},"title":"Customer Success Manager, Beneficial Deployments, EMEA","description":"<p>Join Anthropic&#39;s Customer Success team as an EMEA Based Customer Success Manager supporting our Beneficial Deployments initiatives.</p>\n<p>In this role, you&#39;ll apply enterprise-grade customer success practices to partnerships with mission-driven organisations. Anthropic&#39;s Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organisations across education, public health, life sciences, economic mobility, and more.</p>\n<p>As the dedicated Customer Success Manager, you&#39;ll be the strategic partner and trusted advisor across EMEA - helping them harness Claude&#39;s full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code to amplify their social impact across program delivery, research, fundraising, and operations.</p>\n<p>You&#39;ll develop genuine partnerships with organisations, gaining a deep understanding of their mission, strategic objectives, programmatic goals, and technical capacity. Drawing on your social impact expertise, business acumen, and technical knowledge, you&#39;ll serve as a strategic advisor throughout their journey,helping them identify the right Claude capabilities for their specific objectives while providing best practices tailored to the unique constraints of the social sector.</p>\n<p>Your role focuses on helping nonprofit organisations scale their AI adoption effectively, implement change management strategies suited to mission-driven cultures, optimise use cases for maximum social impact, and demonstrate value that supports continued investment and expansion.</p>\n<p>As one of our early CSMs in EMEA, you&#39;ll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic&#39;s brand in a high-growth market. You&#39;ll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build trusting, strategic relationships with nonprofit leaders, program officers, and mission-driven stakeholders to understand their organisational goals, programmatic needs, and social impact objectives, identifying opportunities for optimisation and expanded AI deployment</li>\n</ul>\n<ul>\n<li>Become an expert in Anthropic&#39;s products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions</li>\n</ul>\n<ul>\n<li>Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realised value for the customer</li>\n</ul>\n<ul>\n<li>Monitor usage patterns and proactively drive adoption,identifying optimisation opportunities, addressing underutilisation across consumption-based (API) and seat-based products, and discovering new applications for Claude across departments and workflows</li>\n</ul>\n<ul>\n<li>Create and maintain customer enablement resources ,identifying opportunities to develop scalable assets that drive efficiency across the partner portfolio</li>\n</ul>\n<ul>\n<li>Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socialising Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs</li>\n</ul>\n<ul>\n<li>Document and quantify value realised through social impact outcomes, program effectiveness metrics, cost savings, and mission amplification to build compelling cases for continued investment in AI</li>\n</ul>\n<ul>\n<li>Own the partnership experience across the organisation&#39;s lifecycle,managing comprehensive account and success plans grounded in the organisation&#39;s mission and social impact objectives, conducting Quarterly Impact Reviews that demonstrate measurable impact, and serving as the primary conduit between the organisation and Anthropic</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5148e11a-96e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5153511008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£125,000-£165,000 GBP","x-skills-required":["customer success","AI","machine learning","social impact","nonprofit organisations","change management","strategic planning","project management","communication","problem-solving"],"x-skills-preferred":["French","German","Spanish","Italian"],"datePosted":"2026-04-18T15:59:21.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"customer success, AI, machine learning, social impact, nonprofit organisations, change management, strategic planning, project management, communication, problem-solving, French, German, Spanish, Italian","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f6f3674-ac6"},"title":"Director, Enterprise Machine Learning & Research","description":"<p>The Enterprise ML team at Scale works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale&#39;s proprietary research, data, and infrastructure.</p>\n<p>As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Core qualifications include:</p>\n<ul>\n<li>8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice-to-have qualifications include:</p>\n<ul>\n<li>Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments</li>\n<li>Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale</li>\n<li>Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes</li>\n</ul>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f6f3674-ac6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4679727005","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$289,800-$362,250 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","public speaking","writing","open-source contributions"],"x-skills-preferred":["hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments","prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale","proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes"],"datePosted":"2026-04-18T15:59:19.457Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, public speaking, writing, open-source contributions, hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale, proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":289800,"maxValue":362250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_130450d3-e02"},"title":"Analytics Lead, GenAI Marketplace","description":"<p>We&#39;re looking for an experienced Senior Data Analyst to join our Growth Operations team. As a key member of our team, you will partner with leadership, operators, and engineers to help unpack ambiguous problems and build lasting, scalable analytics solutions.</p>\n<p>Your work will directly evolve how we operate and measure our growth strategies, funnels, and pipelines. You will be responsible for building scalable data assets, adding contextual layers to data, and providing insights and conclusions to stakeholders.</p>\n<p>To succeed in this role, you will need to be detail-oriented, rigorous about validating results, and talented at distilling down complexity. You will also need to love tackling and solving hard problems.</p>\n<p>In addition to building scalable data assets, you will also be responsible for partnering with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps.</p>\n<p>If you have 3+ years of industry experience in a highly analytical role, a degree in a quantitative field, and expert-level proficiency in writing complex SQL queries, we encourage you to apply.</p>\n<p>As a Senior Data Analyst at Scale, you will have the opportunity to work with a talented team of professionals and contribute to the development of reliable AI systems for the world&#39;s most important decisions.</p>\n<p>The ideal candidate will have excellent communication and presentation skills to executives, expertise at defining the right metrics, and diagnosing and understanding data inconsistencies.</p>\n<p>Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.</p>\n<p>You&#39;ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_130450d3-e02","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4631695005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$230,000 USD","x-skills-required":["SQL","Tableau","Python","Data analysis","Data visualization"],"x-skills-preferred":["Machine learning","Deep learning","Cloud computing"],"datePosted":"2026-04-18T15:59:17.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Tableau, Python, Data analysis, Data visualization, Machine learning, Deep learning, Cloud computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_150ca1e8-f29"},"title":"Research Economist, Economic Research","description":"<p>As a Research Economist at Anthropic, you will work to measure and understand AI&#39;s effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.</p>\n<p>Our team combines rigorous empirical methods with novel measurement approaches. We&#39;re building first-of-its-kind datasets tracking AI&#39;s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives</li>\n</ul>\n<ul>\n<li>Design and conduct empirical research on AI&#39;s economic effects, drawing on external data sources and the privacy-preserving measurement systems internally</li>\n</ul>\n<ul>\n<li>Develop new methodological approaches for studying AI&#39;s impact on:</li>\n</ul>\n<ul>\n<li>Labor markets and the future of work</li>\n</ul>\n<ul>\n<li>Productivity and task transformation</li>\n</ul>\n<ul>\n<li>Economic inequality and displacement</li>\n</ul>\n<ul>\n<li>Industry-specific disruption and adaptation</li>\n</ul>\n<ul>\n<li>Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios</li>\n</ul>\n<ul>\n<li>Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions</li>\n</ul>\n<ul>\n<li>Build and maintain relationships with academic institutions, policy think tanks, and other research partners</li>\n</ul>\n<ul>\n<li>Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection</li>\n</ul>\n<ul>\n<li>Translate research insights into actionable recommendations for both product decisions and policy discussions</li>\n</ul>\n<ul>\n<li>Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>PhD in Economics</li>\n</ul>\n<ul>\n<li>Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning</li>\n</ul>\n<ul>\n<li>Experience relevant to the study of AI’s impact on the economy, including:</li>\n</ul>\n<ul>\n<li>Labor market analysis and occupational change</li>\n</ul>\n<ul>\n<li>Task-based approaches to technological transformation</li>\n</ul>\n<ul>\n<li>Large-scale data analysis and econometric methods</li>\n</ul>\n<ul>\n<li>Large language models for social science research</li>\n</ul>\n<ul>\n<li>Policy-relevant economic research</li>\n</ul>\n<ul>\n<li>Experimental and quasi-experimental methods for causal inference</li>\n</ul>\n<ul>\n<li>Macroeconomic modeling and time series forecasting</li>\n</ul>\n<ul>\n<li>Agent-based modeling or large-scale simulation</li>\n</ul>\n<ul>\n<li>Technical skills including:</li>\n</ul>\n<ul>\n<li>Proficiency in Python, R, SQL, or similar tools for large-scale data analysis</li>\n</ul>\n<ul>\n<li>Experience working with novel datasets and measurement systems</li>\n</ul>\n<ul>\n<li>Comfort learning new technical tools and frameworks</li>\n</ul>\n<ul>\n<li>Demonstrated ability to:</li>\n</ul>\n<ul>\n<li>Lead complex research projects from conception to publication</li>\n</ul>\n<ul>\n<li>Communicate technical findings to diverse audiences</li>\n</ul>\n<ul>\n<li>Build relationships across academic, policy, and industry communities</li>\n</ul>\n<ul>\n<li>Strong interest in ensuring AI development benefits humanity</li>\n</ul>\n<ul>\n<li>Comfort working with AI systems and ability to think critically about their capabilities and limitations</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_150ca1e8-f29","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5018472008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["PhD in Economics","Empirical research","Econometrics","Machine learning","Structural estimation","Python","R","SQL","Large-scale data analysis","Novel datasets and measurement systems","Causal inference","Macroeconomic modeling","Time series forecasting","Agent-based modeling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:14.877Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Economics, Empirical research, Econometrics, Machine learning, Structural estimation, Python, R, SQL, Large-scale data analysis, Novel datasets and measurement systems, Causal inference, Macroeconomic modeling, Time series forecasting, Agent-based modeling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5b703e8a-47c"},"title":"Robotics Engineer","description":"<p>We&#39;re looking for a talented Robotics Engineer to join our team in San Francisco. As a key contributor, you will work to build out our robotics fleet and software systems for collecting data and performing evaluations.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Developing systems for collecting data from various robotics embodiments and collection modalities</li>\n<li>Designing and building hardware for retrofitting robots and building custom collection modalities</li>\n<li>Contributing to the development of pipelines and tooling to support robotics initiatives</li>\n<li>Owning hardware and software integrations for various robots</li>\n<li>Partnering with cross-functional stakeholders to scale up data services</li>\n<li>Providing technical support for data collection operations and executing on pilots to stand up new workflows</li>\n<li>Becoming a subject matter expert on all capabilities of the robotics labs</li>\n</ul>\n<p>You will have the opportunity to develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, computer vision, machine learning, and other autonomy-adjacent concepts.</p>\n<p>We&#39;re looking for someone with a strong engineering background, preferably in Computer Science, Mathematics, or other Engineering fields. You should have 3+ years of experience developing with Python, C++, Java and/or other scripting language, as well as 1-3 years of experience in hardware labs or a manufacturing environment, 1-3 years of experience in mechanical design and comfort with CAD, hands-on experience in robotics, AI, and computer vision, experience building and/or maintaining lab networks and data pipelines, experience running large-scale data collection and controlled experiments, experience managing risk and operating robots safely, strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership.</p>\n<p>As a Robotics Engineer at Scale, you will have the opportunity to work with a talented team of engineers and researchers to develop cutting-edge robotics solutions. You will be responsible for designing, building, and testing robotics systems, as well as collaborating with cross-functional teams to integrate robotics into our data collection and analysis pipeline.</p>\n<p>We offer a competitive salary range of $208,800-$261,000 USD, as well as a comprehensive benefits package, including health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5b703e8a-47c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4655744005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$208,800-$261,000 USD","x-skills-required":["Python","C++","Java","Mechanical design","CAD","Robotics","AI","Computer vision","Machine learning","Data pipelines","Lab networks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:13.725Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, C++, Java, Mechanical design, CAD, Robotics, AI, Computer vision, Machine learning, Data pipelines, Lab networks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":208800,"maxValue":261000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_46488746-59d"},"title":"Technical Program Management, Alignment","description":"<p>Own 3–4 special projects at a time, driving model evaluation projects end-to-end, managing external research collaborators, synthesizing complex information, identifying new projects, and running team offsites.</p>\n<p>This role requires 5+ years of experience in chief-of-staff, program management, operations, or similar roles in a research, technical, or fast-moving environment.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Scope, plan, and drive model evaluation projects end-to-end</li>\n<li>Manage external research collaborators</li>\n<li>Synthesize complex information into decision-relevant inputs for leadership</li>\n<li>Identify new projects the company should take on</li>\n<li>Run the Alignment team offsite and similar events</li>\n</ul>\n<p>Strong candidates may also have experience working directly with researchers, especially in AI safety or machine learning, and familiarity with the AI safety research landscape, key organizations, and ongoing debates.</p>\n<p>Annual compensation range: $210,000-$290,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_46488746-59d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5187208008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$210,000-$290,000 USD","x-skills-required":["chief-of-staff","program management","operations","research","technical","fast-moving environment","model evaluation","external research collaborators","complex information synthesis","project identification","team offsite management"],"x-skills-preferred":["AI safety","machine learning","AI safety research landscape","key organizations","ongoing debates"],"datePosted":"2026-04-18T15:59:10.810Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"chief-of-staff, program management, operations, research, technical, fast-moving environment, model evaluation, external research collaborators, complex information synthesis, project identification, team offsite management, AI safety, machine learning, AI safety research landscape, key organizations, ongoing debates","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d4c3fc5-2ed"},"title":"Senior Software Engineer, Inference","description":"<p>About the role:</p>\n<p>Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry&#39;s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p>\n<p>The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.</p>\n<p>Strong candidates may also have experience with:</p>\n<ul>\n<li>High-performance, large-scale distributed systems</li>\n<li>Implementing and deploying machine learning systems at scale</li>\n<li>Load balancing, request routing, or traffic management systems</li>\n<li>LLM inference optimization, batching, and caching strategies</li>\n<li>Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Python or Rust</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have significant software engineering experience, particularly with distributed systems</li>\n<li>Are results-oriented, with a bias towards flexibility and impact</li>\n<li>Pick up slack, even if it goes outside your job description</li>\n<li>Want to learn more about machine learning systems and infrastructure</li>\n<li>Thrive in environments where technical excellence directly drives both business results and research breakthroughs</li>\n<li>Care about the societal impacts of your work</li>\n</ul>\n<p>Representative projects across the org:</p>\n<ul>\n<li>Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators</li>\n<li>Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads</li>\n<li>Building production-grade deployment pipelines for releasing new models to millions of users</li>\n<li>Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage</li>\n<li>Contributing to new inference features (e.g., structured sampling, prompt caching)</li>\n<li>Supporting inference for new model architectures</li>\n<li>Analyzing observability data to tune performance based on real-world production workloads</li>\n<li>Managing multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p>Annual compensation range for this role is €235,000-€295,000 EUR.</p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</p>\n<p>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</p>\n<p>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</p>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We&#39;re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.</p>\n<p>The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.</p>\n<p>Come work with us!</p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7d4c3fc5-2ed","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4641822008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€235,000-€295,000 EUR","x-skills-required":["High-performance, large-scale distributed systems","Implementing and deploying machine learning systems at scale","Load balancing, request routing, or traffic management systems","LLM inference optimization, batching, and caching strategies","Kubernetes and cloud infrastructure (AWS, GCP)","Python or Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:09.302Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"High-performance, large-scale distributed systems, Implementing and deploying machine learning systems at scale, Load balancing, request routing, or traffic management systems, LLM inference optimization, batching, and caching strategies, Kubernetes and cloud infrastructure (AWS, GCP), Python or Rust","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":235000,"maxValue":295000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c21777cd-f0b"},"title":"Customer Programs Manager, Customer Advisory Boards","description":"<p><strong>About the Role</strong></p>\n<p>This is a Customer Programs Manager position within the Enterprise Marketing department at Anthropic. The successful candidate will establish and lead the Customer Programs function, responsible for engaging with strategic customers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build the Customer Programs function, defining the strategy, hiring the team, and establishing the operating model with PMM, Strategic Events, Solutions, ABM, and Sales leadership.</li>\n<li>Serve as the single accountable owner to the CCO and Sales leadership for Customer Advisory Boards and executive customer engagement.</li>\n<li>Own the governed strategic-account audience, maintaining a named list of executives and decision-makers across lighthouse accounts.</li>\n<li>Design and run the portfolio of high-touch customer programs, including CAB charter and membership, EBC intake and programming, early access customer selection and feedback loops, co-marketing fund deployment, and customer reference and speaker bench.</li>\n<li>Act as the voice of strategic customers inside Anthropic, bringing their priorities and feedback into Product, GTM, and leadership forums.</li>\n<li>Coordinate the asks made of top customers across the company to ensure intentional engagement.</li>\n<li>Own reporting on account coverage, engagement depth, and program-influenced expansion to Sales and Marketing leadership.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>10+ years in B2B enterprise marketing, customer marketing, or executive programs, including 4+ years leading a team.</li>\n<li>Built or significantly scaled an executive customer programs function at a high-growth enterprise technology company.</li>\n<li>Demonstrated executive presence with Fortune 500 C-suite and VP-level customers.</li>\n<li>Experience designing programs from an audience-first model.</li>\n<li>Strong cross-functional operating skills.</li>\n<li>Comfort owning a number.</li>\n<li>Clear written and verbal communication.</li>\n</ul>\n<p><strong>Salary</strong></p>\n<p>The annual compensation range for this role is $255,000-$320,000 USD.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.</li>\n<li>Visa sponsorship: We do sponsor visas!</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our careers page.</p>\n<p><strong>What We Offer</strong></p>\n<p>At Anthropic, we believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c21777cd-f0b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5189047008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$320,000 USD","x-skills-required":["Customer Programs Management","Strategic Account Management","Executive Presence","Cross-Functional Operating Skills","Program Design and Implementation"],"x-skills-preferred":["AI Research","Machine Learning","Data Science","Cloud Computing"],"datePosted":"2026-04-18T15:59:08.788Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Customer Programs Management, Strategic Account Management, Executive Presence, Cross-Functional Operating Skills, Program Design and Implementation, AI Research, Machine Learning, Data Science, Cloud Computing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5d71bfd7-723"},"title":"Partner Solutions Architect, Applied AI","description":"<p>As a Partner Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP).</p>\n<p>You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.</li>\n</ul>\n<ul>\n<li>Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.</li>\n</ul>\n<ul>\n<li>Partner Ecosystem &amp; Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.</li>\n</ul>\n<p>Product Feedback: Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.</p>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager</li>\n</ul>\n<ul>\n<li>Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong presentation &amp; technical communication skills with the ability to translate requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5d71bfd7-723","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5112486008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["technical customer-facing/partner-facing roles","Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","cloud providers","scalable cloud architectures","enterprise systems","LLM frameworks","machine learning","data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:03.769Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"technical customer-facing/partner-facing roles, Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, cloud providers, scalable cloud architectures, enterprise systems, LLM frameworks, machine learning, data science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_057b8651-835"},"title":"AI Strategy Consultant, Frontier Tech","description":"<p>As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards.</p>\n<p>Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis.</p>\n<p>You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.</p>\n<p>The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills.</p>\n<p>We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes.</p>\n<p>If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and execute research experiments</li>\n<li>Build and evaluate frontier LLM datasets</li>\n<li>Develop training and testing material for frontier pipelines</li>\n<li>Improve quality of existing and new products</li>\n</ul>\n<p>Ideally you’d have:</p>\n<ul>\n<li>Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated</li>\n<li>Strong writing and verbal communication skills</li>\n<li>An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results</li>\n<li>Analytical, planning, and process improvement capability</li>\n<li>Experience working in a fast-paced, entrepreneurial environment</li>\n<li>Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL</li>\n</ul>\n<p>Pay: $60-80/hr</p>\n<p>Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt.</p>\n<p>HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas, including CPT/OPT or employ corp-to-corp.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_057b8651-835","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4472223005","x-work-arrangement":"remote","x-experience-level":null,"x-job-type":"contract","x-salary-range":"$60-80/hr","x-skills-required":["Python","GPU","AWS","API","LLM","ML","SQL"],"x-skills-preferred":["Machine Learning","Data Analysis","Problem Solving"],"datePosted":"2026-04-18T15:59:01.983Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, GPU, AWS, API, LLM, ML, SQL, Machine Learning, Data Analysis, Problem Solving"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f931591c-87a"},"title":"Research Scientist, Frontier Risk Evaluations","description":"<p>As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems.</p>\n<p>For example, you might do any or all of the following:</p>\n<ul>\n<li>Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;</li>\n</ul>\n<ul>\n<li>Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;</li>\n</ul>\n<ul>\n<li>Publish evaluation methodologies and write technical reports for policymakers.</li>\n</ul>\n<p>We are seeking talented researchers to join us in shaping this vision.</p>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n</ul>\n<ul>\n<li>Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;</li>\n</ul>\n<ul>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n</ul>\n<ul>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;</li>\n</ul>\n<ul>\n<li>Experience with red-teaming or adversarial testing of AI systems;</li>\n</ul>\n<ul>\n<li>Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f931591c-87a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4677657005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["machine learning","generative AI","ML pipelines","evaluation harnesses","AI safety policy frameworks"],"x-skills-preferred":["crafting evaluations and benchmarks","data science roles related to LLM technologies","red-teaming or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:58:57.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, generative AI, ML pipelines, evaluation harnesses, AI safety policy frameworks, crafting evaluations and benchmarks, data science roles related to LLM technologies, red-teaming or adversarial testing of AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2da35265-f56"},"title":"Machine Learning Research Engineer - Robotics","description":"<p>We&#39;re seeking a Machine Learning Research Engineer to join our Robotics business unit. As a key contributor, you&#39;ll conduct applied research in Robotics and develop ML pipelines for training and fine-tuning on data collected by Scale. In this role, you&#39;ll advance Robotic research, shape Scale&#39;s robotics offerings, and expand the frontier of Robotics data and model evaluation.</p>\n<p>Key responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale&#39;s data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale&#39;s customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale&#39;s platform</p>\n<p>You&#39;ll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy</p>\n<p>Nice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2da35265-f56","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4600908005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$248,800-$311,000 USD","x-skills-required":["Machine Learning","Robotics","Computer Vision","Embodied AI","Sim-to-Real","Imitation Learning","Reinforcement Learning","Vision Language Actions Models"],"x-skills-preferred":["Robotics Hardware Platforms","Deploying Machine Learning Models","Teleoperated or Human-Driven Data"],"datePosted":"2026-04-18T15:58:56.349Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Robotics, Computer Vision, Embodied AI, Sim-to-Real, Imitation Learning, Reinforcement Learning, Vision Language Actions Models, Robotics Hardware Platforms, Deploying Machine Learning Models, Teleoperated or Human-Driven Data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":248800,"maxValue":311000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_714b56e4-2cb"},"title":"Strategic Projects Lead - Coding","description":"<p>We&#39;re looking for a Strategic Projects Lead to lead initiatives that will drive $XXM+ in new revenue for our Generative AI business unit. As a key member of our Gen AI Operations team, you will be responsible for overseeing customer pipelines, designing data taxonomy, building pipeline infrastructure, training and coaching teams, and partnering with stakeholders to drive advancements for the largest LLMs in the world.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Serving as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins</li>\n<li>Understanding customer requirements and designing data taxonomy best suited to improving model performance based on customer needs</li>\n<li>Building out pipeline infrastructure to ensure quality and efficiency</li>\n<li>Training, coaching, and managing dynamic and global teams</li>\n<li>Building analytics to make data-driven decisions</li>\n<li>Partnering with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world</li>\n</ul>\n<p>You will have:</p>\n<ul>\n<li>A strong technical background, with a degree in Machine Learning Engineering, Computer Science, or Software Engineering</li>\n<li>3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE</li>\n<li>Strong problem-solving capabilities in technical environments, with the ability to come up with creative solutions to complex, ambiguous, operational, and technical problems</li>\n<li>Entrepreneurial experience and mindset, with a passion for building things from scratch and identifying issues and executing quickly</li>\n</ul>\n<p>Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_714b56e4-2cb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4664232005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning Engineering","Computer Science","Software Engineering","SQL","Python","Data Analytics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:53.295Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning Engineering, Computer Science, Software Engineering, SQL, Python, Data Analytics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ad92e450-7c6"},"title":"AI Product Manager, Insights","description":"<p>We&#39;re seeking a highly analytical and strategic thinker to take ownership of our model evaluation analysis and insight generation. As an AI Product Manager, Insights, you will be responsible for creating model evaluation from initial hypothesis to final publication, going beyond aggregate metrics to deeply analyse why the model failed and identifying semantic patterns, edge cases, and systemic hallucinations in raw model outputs.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning the creation of model evaluation from initial hypothesis, data scraping to final publication.</li>\n<li>Deeply analysing why the model failed and identifying semantic patterns, edge cases, and systemic hallucinations in raw model outputs.</li>\n<li>Reviewing raw data sets, meeting transcripts, and research notes to identify the &#39;so what&#39; and turning these findings into a logical hierarchy.</li>\n<li>Acting as the bridge between the data and the narrative by structuring findings into a logical hierarchy where the most critical &#39;hook&#39; lands first, followed by the supporting evidence.</li>\n</ul>\n<p>As a successful candidate, you will have 5-10 years of experience in DS, ML, AI research and analysis, be a structured thinker, have a high tolerance for ambiguity, and possess executive presence. Experience in Model Evaluation, ML Engineering or Technical Research is a plus.</p>\n<p>This role offers a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $205,600-$257,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ad92e450-7c6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4651491005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$205,600-$257,000 USD","x-skills-required":["Deep Learning","Machine Learning","Artificial Intelligence","Data Analysis","Model Evaluation"],"x-skills-preferred":["ML Engineering","Technical Research"],"datePosted":"2026-04-18T15:58:52.163Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep Learning, Machine Learning, Artificial Intelligence, Data Analysis, Model Evaluation, ML Engineering, Technical Research","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":205600,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_33eb12c1-537"},"title":"Solutions Architect","description":"<p>Join our team as a Solutions Architect and play a crucial role in helping our customers solve their complex data challenges. As a key member of our Field Engineering team, you will work closely with customers to understand their needs and develop customized solutions using our Data Intelligence Platform.</p>\n<p>We&#39;re looking for someone with a strong technical background in big data analytics, who can operate as a trusted advisor to our customers. You will be responsible for developing successful relationships with clients, providing technical and business value, and scaling best practices in your field.</p>\n<p>As a Solutions Architect, you will:</p>\n<ul>\n<li>Form successful relationships with clients throughout your assigned territory</li>\n<li>Operate as an expert in big data analytics to excite customers about Databricks</li>\n<li>Develop into a &#39;champion&#39; and trusted advisor on multiple issues of architecture, design, and implementation</li>\n<li>Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications</li>\n<li>Grow your knowledge and expertise to the level of a technical and/or industry specialist</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>Experience with coding in a core programming language (i.e., Python, Java, Scala)</li>\n<li>A base level in Spark</li>\n<li>A builder mindset with a passion for quick prototyping and experience in vibe coding</li>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)</li>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences</li>\n<li>Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind</li>\n</ul>\n<p>Fluency in German is a strong advantage, but not required.</p>\n<p>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit our website.</p>\n<p>Our Commitment to Diversity and Inclusion</p>\n<p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.</p>\n<p>If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_33eb12c1-537","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8500326002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Scala","Spark","Big Data Analytics","Cloud Computing"],"x-skills-preferred":["Machine Learning","Data Science","Cloud Architecture"],"datePosted":"2026-04-18T15:58:49.054Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Scala, Spark, Big Data Analytics, Cloud Computing, Machine Learning, Data Science, Cloud Architecture"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5ff592ac-9d8"},"title":"Sr. Software Engineer, Inference","description":"<p>We are seeking a Senior Software Engineer to join our Inference team, responsible for building and maintaining critical systems that serve Claude to millions of users worldwide. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models.</p>\n<p>As a Senior Software Engineer, you will be responsible for designing, implementing, and deploying large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing. You will work closely with our research team to develop new inference features and integrate new AI accelerator platforms.</p>\n<p>To succeed in this role, you should have significant software engineering experience, particularly with distributed systems, and be results-oriented with a bias towards flexibility and impact. You should also be able to pick up slack, even if it goes outside your job description, and thrive in environments where technical excellence directly drives both business results and research breakthroughs.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing</li>\n<li>Work closely with our research team to develop new inference features and integrate new AI accelerator platforms</li>\n<li>Collaborate with cross-functional teams to ensure seamless deployment and operation of our systems</li>\n<li>Analyze observability data to tune performance based on real-world production workloads</li>\n<li>Manage multi-region deployments and geographic routing for global customers</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree or equivalent combination of education, training, and/or experience</li>\n<li>Significant software engineering experience, particularly with distributed systems</li>\n<li>Results-oriented with a bias towards flexibility and impact</li>\n<li>Ability to pick up slack, even if it goes outside your job description</li>\n<li>Thrives in environments where technical excellence directly drives both business results and research breakthroughs</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience with Kubernetes and cloud infrastructure (AWS, GCP)</li>\n<li>Familiarity with machine learning systems and infrastructure</li>\n<li>Strong communication and collaboration skills</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive compensation and benefits</li>\n<li>Optional equity donation matching</li>\n<li>Generous vacation and parental leave</li>\n<li>Flexible working hours</li>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p>Guidance on Candidates&#39; AI Usage: Learn about our policy for using AI in our application process</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5ff592ac-9d8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5152348008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£225,000-£325,000 GBP","x-skills-required":["Distributed systems","Kubernetes","Cloud infrastructure","Machine learning systems","Infrastructure engineering"],"x-skills-preferred":["Python","Rust","Java","C++","Go"],"datePosted":"2026-04-18T15:58:45.382Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distributed systems, Kubernetes, Cloud infrastructure, Machine learning systems, Infrastructure engineering, Python, Rust, Java, C++, Go","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":225000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a3caae4-044"},"title":"Member of Technical Staff - Imagine Model","description":"<p>As a Member of Technical Staff on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities. Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.</p>\n<p>Key responsibilities include creating and driving engineering agendas to advance multimodal capabilities, improving data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, designing evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence, implementing efficient algorithms for state-of-the-art model performance, and developing scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.</p>\n<p>The ideal candidate will have a track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling, experience in data-driven experiment designs, systematic analysis, and iterative model debugging, experience developing or working with large-scale distributed machine learning systems, and ability to deliver optimal end-to-end user experiences.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8a3caae4-044","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5051985007","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["data curation","modeling","training","inference serving","product integration","large-scale distributed machine learning systems"],"x-skills-preferred":["SFT","RL","evals","human/synthetic data collection","agentic systems","Python","JAX/XLA","PyTorch","Rust/C++","Spark","Ray"],"datePosted":"2026-04-18T15:58:43.641Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data curation, modeling, training, inference serving, product integration, large-scale distributed machine learning systems, SFT, RL, evals, human/synthetic data collection, agentic systems, Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f86a39bf-9a5"},"title":"Solutions Architect - Digital Native Business, Strategic","description":"<p>As a Solutions Architect on the Digital Natives team, you will work with leading data engineering, data science, and ML teams to push the boundaries of what big data architectures are capable of.</p>\n<p>Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.</p>\n<p>You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.</p>\n<p>We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale.</p>\n<p>Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.</li>\n</ul>\n<ul>\n<li>Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.</li>\n</ul>\n<ul>\n<li>Continuously research &amp; learn new technologies and their implementations on Databricks.</li>\n</ul>\n<ul>\n<li>Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science, and machine learning, and SQL analysis workflows.</li>\n</ul>\n<ul>\n<li>As well as validating integrations with cloud services, home-grown tools, and other 3rd party applications.</li>\n</ul>\n<ul>\n<li>Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers.</li>\n</ul>\n<ul>\n<li>Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.</li>\n</ul>\n<ul>\n<li>Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.</li>\n</ul>\n<ul>\n<li>Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.</li>\n</ul>\n<ul>\n<li>Experience building distributed data systems.</li>\n</ul>\n<ul>\n<li>Comfortable programming in, and debugging, Python and SQL.</li>\n</ul>\n<ul>\n<li>Have built solutions with public cloud providers such as AWS, Azure, or GCP.</li>\n</ul>\n<ul>\n<li>Expertise in one of the following:</li>\n</ul>\n<ul>\n<li>Data Engineering technologies (Ex: Spark, Hadoop, Kafka)</li>\n</ul>\n<ul>\n<li>Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)</li>\n</ul>\n<ul>\n<li>Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.</li>\n</ul>\n<ul>\n<li>Available to travel to customers in your region.</li>\n</ul>\n<ul>\n<li>[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).</li>\n</ul>\n<ul>\n<li>Nice to have: Databricks Certification.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f86a39bf-9a5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8434467002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$180,000-$247,500 USD","x-skills-required":["Data Engineering technologies","Data Science and Machine Learning technologies","Python","SQL","Cloud providers (AWS, Azure, GCP)"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:42.812Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - California; Remote - Colorado; Remote - Oregon; Remote - Washington"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Engineering technologies, Data Science and Machine Learning technologies, Python, SQL, Cloud providers (AWS, Azure, GCP)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":247500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cec208e5-844"},"title":"Solutions Architect, Applied AI (Digital Native Business)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.</p>\n<p>You&#39;ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.</p>\n<p>Working closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<p>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</p>\n<p>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</p>\n<p>Support customers building with both the Claude API and Claude for Work</p>\n<p>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</p>\n<p>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</p>\n<p>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</p>\n<p>Identify common integration patterns and contribute insights back to our Product and Engineering teams</p>\n<p>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</p>\n<p>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</p>\n<p>You may be a good fit if you have:</p>\n<p>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</p>\n<p>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</p>\n<p>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</p>\n<p>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</p>\n<p>Experience designing scalable cloud architectures and integrating with enterprise systems</p>\n<p>Comfortable with python</p>\n<p>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</p>\n<p>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>A love of teaching, mentoring, and helping others succeed</p>\n<p>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</p>\n<p>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</p>\n<p>Please note this role requires 3 days in office per week.</p>\n<p>Deadline to apply: None. Applications will be reviewed on a rolling basis.</p>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $240,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cec208e5-844","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5065835008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$315,000 USD","x-skills-required":["Technical customer-facing roles","Enterprise customers","Complex buying cycles","Technical communication skills","Scalable cloud architectures","Python","LLM frameworks and tools","Machine learning or data science"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:42.551Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing roles, Enterprise customers, Complex buying cycles, Technical communication skills, Scalable cloud architectures, Python, LLM frameworks and tools, Machine learning or data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8697757e-7b4"},"title":"Lead Robotics Software Engineer","description":"<p>As a Lead Robotics Software Engineer on our Tactical Recon &amp; Strike team, you&#39;ll be at the forefront of cutting-edge autonomous systems development. You&#39;ll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success.</p>\n<p>Your role will be pivotal in ensuring Anduril&#39;s products work seamlessly together to achieve a variety of crucial outcomes. You&#39;ll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.</p>\n<p>Contributing to the entire product lifecycle, from concept to deployment, you&#39;ll rapidly prototype and iterate on software solutions. We&#39;re looking for someone who thrives in a fast-paced environment and isn&#39;t afraid to tackle ambiguous problems. Your &#39;Whatever It Takes&#39; mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.</p>\n<p>This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You&#39;ll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.</p>\n<p>Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms</li>\n</ul>\n<ul>\n<li>Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius</li>\n</ul>\n<ul>\n<li>Lead and mentor a group software engineers to help drive team success and to successfully hit tight project deadlines</li>\n</ul>\n<ul>\n<li>Optimize performance of existing products, primarily focused on our Altius Drone product line</li>\n</ul>\n<ul>\n<li>Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs</li>\n</ul>\n<ul>\n<li>Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field</li>\n</ul>\n<ul>\n<li>Contribute to the design and implementation of multi-agent coordination systems for UAVs</li>\n</ul>\n<ul>\n<li>Participate in the full software development lifecycle, from concept and design through testing and deployment</li>\n</ul>\n<ul>\n<li>Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Robotics, Computer Science, or related field</li>\n</ul>\n<ul>\n<li>7+ years of professional software development experience</li>\n</ul>\n<ul>\n<li>Experience as a lead of a small software engineering team</li>\n</ul>\n<ul>\n<li>Strong proficiency in C++ or Rust, with experience in Linux development environments</li>\n</ul>\n<ul>\n<li>Demonstrated expertise in data structures, algorithms, concurrency, and code optimization</li>\n</ul>\n<ul>\n<li>Proven experience troubleshooting and analyzing remotely deployed software systems</li>\n</ul>\n<ul>\n<li>Hands-on experience working with and testing electrical and mechanical systems</li>\n</ul>\n<ul>\n<li>Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and a &#39;Whatever It Takes&#39; mindset</li>\n</ul>\n<ul>\n<li>Excellent communication skills, both written and verbal</li>\n</ul>\n<ul>\n<li>Eligible to obtain and maintain an active U.S. Secret security clearance</li>\n</ul>\n<ul>\n<li>Willingness to relocate to Atlanta, GA</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Master&#39;s or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)</li>\n</ul>\n<ul>\n<li>Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls</li>\n</ul>\n<ul>\n<li>Experience with performance optimization and metrics for complex robotic systems</li>\n</ul>\n<ul>\n<li>Proficiency in Python, Rust, and/or Go, in addition to C++</li>\n</ul>\n<ul>\n<li>Hands-on experience programming for embedded systems and physical devices</li>\n</ul>\n<ul>\n<li>Background in multi-agent coordination, particularly with UAVs</li>\n</ul>\n<ul>\n<li>Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)</li>\n</ul>\n<ul>\n<li>Experience with real-time operating systems and distributed computing</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning and AI applications in robotics</li>\n</ul>\n<ul>\n<li>Knowledge of sensor fusion techniques and implementation</li>\n</ul>\n<ul>\n<li>Understanding of aerodynamics and flight dynamics as applied to UAV systems</li>\n</ul>\n<ul>\n<li>Experience with simulation environments for robotics testing and development</li>\n</ul>\n<ul>\n<li>Track record of contributions to open-source robotics projects or relevant publications</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8697757e-7b4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anduril Industries","sameAs":"https://www.anduril.com/","logo":"https://logos.yubhub.co/anduril.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/andurilindustries/jobs/5033836007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$252,000 USD","x-skills-required":["C++","Rust","Linux development environments","Data structures","Algorithms","Concurrency","Code optimization","Troubleshooting","Analysis","Electrical and mechanical systems"],"x-skills-preferred":["Python","Go","Embedded systems","Physical devices","Multi-agent coordination","UAVs","Frame transformation","Real-time operating systems","Distributed computing","Machine learning","AI","Sensor fusion","Aerodynamics","Flight dynamics"],"datePosted":"2026-04-18T15:58:40.280Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Atlanta, Georgia, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Rust, Linux development environments, Data structures, Algorithms, Concurrency, Code optimization, Troubleshooting, Analysis, Electrical and mechanical systems, Python, Go, Embedded systems, Physical devices, Multi-agent coordination, UAVs, Frame transformation, Real-time operating systems, Distributed computing, Machine learning, AI, Sensor fusion, Aerodynamics, Flight dynamics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":252000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ba66dcb1-8d9"},"title":"Research Scientist, AI Controls and Monitoring","description":"<p>We&#39;re seeking a Research Scientist to join our team focused on AI Controls and Monitoring. As a key member of our team, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments.</p>\n<p>Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.</p>\n<p>To succeed in this role, you&#39;ll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.</p>\n<p>In addition to your technical expertise, you&#39;ll need strong written and verbal communication skills to operate in a cross-functional team.</p>\n<p>This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ba66dcb1-8d9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675694005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Machine Learning","Generative AI","AI Control Protocols","AI Risk Evaluations","Runtime Monitoring","Anomaly Detection","Observability"],"x-skills-preferred":["Post-Training and RL Techniques","Scalable Oversight","Interpretability","Debate"],"datePosted":"2026-04-18T15:58:38.219Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Generative AI, AI Control Protocols, AI Risk Evaluations, Runtime Monitoring, Anomaly Detection, Observability, Post-Training and RL Techniques, Scalable Oversight, Interpretability, Debate","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a1f35a9c-2e5"},"title":"Staff Data Scientist","description":"<p>We are looking for a Staff Product Data Scientist to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy.</p>\n<p>You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>\n<li>Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>\n<li>Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>\n<li>Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>\n<li>Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>\n<li>Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.</li>\n<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>\n<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>\n<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>\n<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>\n<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>\n<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>\n<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>\n<li>Experience enabling self-service analytics or citizen data science capabilities.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1f35a9c-2e5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7731595","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$184,000-$253,000 USD","x-skills-required":["data science","machine learning","Python","SQL","statistical modeling","data engineering","analytics engineering","data analysts"],"x-skills-preferred":["high-growth SaaS","cybersecurity","identity","enterprise software"],"datePosted":"2026-04-18T15:58:37.181Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellevue, Washington; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, machine learning, Python, SQL, statistical modeling, data engineering, analytics engineering, data analysts, high-growth SaaS, cybersecurity, identity, enterprise software","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":184000,"maxValue":253000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1da2c245-26b"},"title":"Communications Lead, The Anthropic Institute","description":"<p>We are seeking an experienced communications professional to serve as a dedicated communications partner to the Head of Public Benefit. This is a rare opportunity to work alongside an executive leading some of the most consequential research of our time,work on the economic impacts of AI, the implications of self-improving systems, the changing offense and defense balance, and the societal effects of powerful AI on real people and communities.</p>\n<p>This role sits at the intersection of executive communications, brand strategy, and portfolio management. You will be the single point of contact and dedicated communications advisor for Jack Clark, managing day-to-day communications requests and strategic engagements across his full portfolio. Working closely with the Institute&#39;s communications, policy, and research teams, you will ensure that the Institute&#39;s work is coordinated, consistent, and lands with the audiences it deserves,far beyond the AI and policy communities.</p>\n<p>Key Focus Areas:</p>\n<p>Executive Communications and Brand Platform for Jack Clark</p>\n<ul>\n<li>Serve as the single point of contact and dedicated communications advisor to Jack Clark, Anthropic’s Head of Public Benefit and leader of The Anthropic Institute</li>\n<li>Lead the creation and execution of Jack’s personal brand platform, defining how he shows up across media interviews, podcasts, speaking engagements, written commentary, and social media</li>\n<li>Assist in preparing Jack for high-profile media engagements and public speaking, developing talking points, briefing materials, and post-engagement analysis</li>\n<li>Identify and secure strategic media opportunities, panel placements, and speaking engagements that advance both Jack’s platform and the Institute’s mission</li>\n</ul>\n<p>Support for Anthropic Institute Communications</p>\n<ul>\n<li>Work with communications colleagues to develop an overarching communications strategy for The Anthropic Institute, tracking key areas of work across the Economic Index, Societal Impacts Research, and beyond</li>\n<li>Work with members of the policy and editorial teams to design the Institute&#39;s publishing and content strategy, ensuring outputs reach the largest possible audience,whether through the Anthropic blog, the Institute&#39;s own site, microsites, interactive experiences, video, audio, or other formats</li>\n<li>Translate complex research across economics, societal impacts, frontier red teaming, and AI safety into compelling public narratives that reach audiences beyond the AI and policy communities</li>\n<li>Build and maintain relationships with media, researchers, and thought leaders across economics, labor, national security, and general interest outlets,not just technology press</li>\n<li>Lead communications for select Institute publications and projects</li>\n<li>Coordinate with Anthropic’s broader communications, editorial, and policy teams to keep messaging aligned while maintaining the Institute’s distinct voice and mission</li>\n</ul>\n<p>Responsibilities</p>\n<ul>\n<li>Serve as the single point of contact for Jack Clark across all communications needs, managing intake, prioritization, and day-to-day logistics for his portfolio</li>\n<li>Coordinate across the Institute’s communications team, policy team, and editorial team to ensure Jack’s priorities are represented and his voice is consistent across all external moments</li>\n<li>Lead the creation and ongoing execution of Jack’s brand platform across all channels</li>\n<li>Translate technical research on economics, societal impacts, AI safety, and frontier capabilities into narratives accessible to diverse audiences, in partnership with the Institute’s research communications team</li>\n<li>Prepare Jack and other Institute leaders for media interviews, podcast appearances, congressional hearings, and speaking engagements</li>\n<li>Build and maintain relationships with media across technology, economics, national security, labor, and general interest verticals</li>\n<li>Create high-quality content across formats,blog posts, research summaries, briefing documents, talking points, social content, and innovative digital formats</li>\n<li>Build repeatable playbooks and processes that allow a lean team to punch well above its weight</li>\n</ul>\n<p>You May Be a Good Fit If You</p>\n<ul>\n<li>Have 10+ years of experience in communications, with significant depth in executive communications, thought leadership, or public interest/policy communications</li>\n<li>Have a track record of translating complex, technical, or academic research into public narratives that reach audiences well beyond specialist communities</li>\n<li>Can embrace the “weird” - AI is a new field where the unexpected and unusual happens all the time.</li>\n<li>Have built and executed brand platforms for senior executives, thought leaders, or public intellectuals,and have managed their day-to-day communications logistics</li>\n<li>Are equally comfortable crafting high-level messaging strategy and producing content under deadline</li>\n<li>Have strong media relationships across a range of verticals,technology, economics, national security, policy, and/or general interest</li>\n<li>Can move between strategic messaging and fast-turnaround tactical execution without losing quality</li>\n<li>Are intellectually curious about AI’s impact on the economy, society, national security, and the future of work,and can engage substantively with researchers working on these problems</li>\n<li>Are excited about using AI tools in your own workflows to multiply what a small team can do</li>\n<li>Care deeply about AI safety, responsible technology development, and Anthropic’s public benefit mission</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1da2c245-26b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"The Anthropic Institute","sameAs":"https://anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5155269008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$320,000 USD","x-skills-required":["communications","executive communications","brand strategy","portfolio management","media relations","public speaking","content creation","research translation","AI safety","responsible technology development"],"x-skills-preferred":["AI tools","data analysis","machine learning","natural language processing"],"datePosted":"2026-04-18T15:58:31.806Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"communications, executive communications, brand strategy, portfolio management, media relations, public speaking, content creation, research translation, AI safety, responsible technology development, AI tools, data analysis, machine learning, natural language processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_63a79841-36e"},"title":"Solutions Architect (Vietnam)","description":"<p>At Databricks, we&#39;re seeking a Solutions Architect to join our Field Engineering team in Vietnam. As a key member of our team, you will work closely with customers to understand their complex data challenges and provide technical expertise to demonstrate how our Data Intelligence Platform can help them solve these issues.</p>\n<p>You will form successful relationships with clients throughout Vietnam, providing technical and business value to Databricks customers in collaboration with Account Executives. You will operate as an expert in big data analytics, developing into a &#39;champion&#39; and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Developing customer relationships and building internal partnerships with account executives and teams</li>\n<li>Engaging customers in technical sales, challenging their questions, guiding clear outcomes, and communicating technical and value propositions</li>\n<li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark</li>\n<li>Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s)</li>\n<li>Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth</li>\n<li>Proficiency in the Vietnamese language is required as this role serves clients based in Vietnam and involves direct customer communications in the Vietnamese language</li>\n</ul>\n<p>In return, you will have the opportunity to grow your knowledge and expertise to the level of a technical and/or industry specialist, and contribute to the success of our customers and the growth of our organization.</p>\n<p>If you&#39;re passionate about working with data and AI, and want to make a real impact, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_63a79841-36e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8472732002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Scala","Big Data Analytics","Spark","Cloud Computing","Data Science","Machine Learning"],"x-skills-preferred":["Data Engineering","Data Architecture","Cloud Security","DevOps"],"datePosted":"2026-04-18T15:58:31.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Scala, Big Data Analytics, Spark, Cloud Computing, Data Science, Machine Learning, Data Engineering, Data Architecture, Cloud Security, DevOps"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7b97bd88-535"},"title":"Named Core Account Executive - Public Sector","description":"<p>We&#39;re looking for a passionate and results-driven Enterprise Account Executive to help our government partners harness the full power of the Databricks platform. This is a pioneering sales role within our Public Sector Sales team, reporting directly to the Senior Sales Director. You&#39;ll work at the forefront of digital transformation in the Public Sector space, helping agencies reimagine how they deliver outcomes and play a pivotal role in shaping Databricks&#39; presence across the country.</p>\n<p>As a successful candidate, you are a creative, energetic self-starter who understands the sales process. You know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always hunting for new opportunities, you will be asked to close net new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota accomplishment.</p>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage.</li>\n<li>Champion real-world change: Lead initiatives that make measurable impact , from accelerating innovation in health and education to supporting sustainability and economic development.</li>\n<li>Shape Databricks’ Public Sector footprint: Identify, structure, and close strategic opportunities that align our capabilities with Australia’s digital priorities.</li>\n<li>Inspire through connection: Build trusted relationships with senior decision-makers, tell compelling stories about our impact, and influence at the highest levels.</li>\n<li>Execute with excellence: Manage the end-to-end sales cycle , from prospecting and initial engagement to closing transformative deals and driving platform adoption.</li>\n<li>Collaborate for success: Work with solution architects, customer success, and global teams to deliver solutions that empower customers and ensure long-term success.</li>\n</ul>\n<p>What We Look For:</p>\n<ul>\n<li>A passion for impact , you’re motivated by helping organisations use technology for the public good.</li>\n<li>Proven experience in enterprise or Public Sector sales, ideally in Cloud, Data, or SaaS.</li>\n<li>Strategic and structured in approach, with strong execution and accountability.</li>\n<li>Excellent communication and relationship-building skills with senior stakeholders.</li>\n<li>Growth mindset, creativity, and adaptability in dynamic, innovative environments.</li>\n<li>Knowledge of Spark and Big Data is highly desirable</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7b97bd88-535","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8441879002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["public sector sales","cloud sales","data sales","sales strategy","account management","customer success","relationship building","communication skills"],"x-skills-preferred":["spark","big data","ai","machine learning","data analytics"],"datePosted":"2026-04-18T15:58:28.737Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, Australia"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"public sector sales, cloud sales, data sales, sales strategy, account management, customer success, relationship building, communication skills, spark, big data, ai, machine learning, data analytics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_43334479-97e"},"title":"Sr Analytics Engineer - GTM Strategy and Operations","description":"<p>As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy &amp; Operations teams, providing the data, AI-driven insights, and infrastructure needed to drive efficiency and effectiveness across the organization.</p>\n<p>You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.</p>\n<p>Working closely with cross-functional stakeholders,including Sales, Finance, Marketing, and other data teams,you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business.</p>\n<p>You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.</p>\n<p>The Impact You Will Have:</p>\n<ul>\n<li>Build: You will design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, curated tables, and insightful analyses that empower thousands of field employees and leaders worldwide.</li>\n</ul>\n<ul>\n<li>Architect: You will both manage the requirements gathering and lead execution of strategic analytic projects.</li>\n</ul>\n<ul>\n<li>Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).</li>\n</ul>\n<ul>\n<li>You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required.</li>\n</ul>\n<ul>\n<li>You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.</li>\n</ul>\n<ul>\n<li>You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work , from drafting and debugging code to synthesizing requirements and generating documentation.</li>\n</ul>\n<ul>\n<li>You&#39;re comfortable evaluating AI-generated outputs critically and iterating quickly.</li>\n</ul>\n<ul>\n<li>You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.</li>\n</ul>\n<ul>\n<li>You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions.</li>\n</ul>\n<ul>\n<li>You have a track record of cross-functional collaboration and strong stakeholder relationships.</li>\n</ul>\n<ul>\n<li>You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors.</li>\n</ul>\n<ul>\n<li>You work through dependencies, bottlenecks, and tradeoffs with ease.</li>\n</ul>\n<ul>\n<li>You have a service-oriented mindset.</li>\n</ul>\n<ul>\n<li>You are curious, creative, and kind.</li>\n</ul>\n<p>Pay Range Transparency:</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Zone 1 Pay Range $133,000-$182,950 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_43334479-97e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8479036002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$133,000-$182,950 USD","x-skills-required":["SQL","Python","Databricks","PowerBI","Data Engineering","Analytics Engineering","AI","Machine Learning"],"x-skills-preferred":["Large Language Model Tools","Claude","Semantic Data Curation","Advanced Analytics","Automation","Scalable Business Intelligence"],"datePosted":"2026-04-18T15:58:18.439Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York; San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Databricks, PowerBI, Data Engineering, Analytics Engineering, AI, Machine Learning, Large Language Model Tools, Claude, Semantic Data Curation, Advanced Analytics, Automation, Scalable Business Intelligence","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":133000,"maxValue":182950,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a07fcd0f-8c7"},"title":"Strategic Finance Lead, GTM","description":"<p>We are looking for a Strategic Finance Lead, GTM to join our team. As a Strategic Finance Lead, GTM, you will sit within the Strategic Finance team and play a critical role in ensuring capital is deployed efficiently across Provider and Patient Growth initiatives.</p>\n<p>This is a highly cross-functional role for someone who thrives at the intersection of financial analysis and strategic decision-making. You&#39;ll build models, track performance, and surface insights that guide how we allocate resources and scale our GTM investments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and maintain financial models to assess GTM investment efficiency, scenario plan, and evaluate trade-offs across growth initiatives</li>\n<li>Own budgeting and forecasting processes for GTM spend, partnering with budget owners to align plans with strategic priorities</li>\n<li>Analyze operating KPIs and funnel data to evaluate unit economics, channel performance, and overall GTM effectiveness</li>\n<li>Partner cross-functionally to surface insights and support strategic decision-making</li>\n<li>Develop dashboards, reporting, and executive-ready materials to communicate progress against goals</li>\n</ul>\n<p>You&#39;d be a great fit if...</p>\n<ul>\n<li>You have 4+ years of professional experience, ideally in a mix of financial services (Consulting / Equity Research / Private Equity) and highly analytical roles at a fast-growing company (Strategic Finance)</li>\n<li>You are highly proficient in Google Sheets (advanced formulas) and Looker (or similar BI tools) and comfortable working with large datasets</li>\n<li>You are detail-oriented and have a “measure twice, cut once” approach when working with financial data</li>\n<li>You’re excited to work cross functionally with the business teams to develop a greater understanding of function-specific efficiency metrics and help course-correct where necessary</li>\n<li>You take ownership and are a resourceful self-starter,you proactively seek context, solve ambiguous problems, and anticipate stakeholder needs</li>\n<li>You are excited about AI and how it&#39;s reshaping finance, and you actively explore and apply AI tools to drive faster insights, greater efficiency, and smarter decision-making</li>\n<li>You communicate complex insights clearly, tailoring your message for different audiences (finance vs. marketing)</li>\n<li>You thrive in a fast-paced, cross-functional environment and enjoy collaborating with marketing, finance, and growth teams</li>\n<li>You are excited about joining a mission-driven company and driving marketing efficiency to improve mental healthcare access</li>\n</ul>\n<p>Compensation and Benefits: The expected base pay range for this position is $131,750 - $165,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.</p>\n<p>Benefits offered include:</p>\n<ul>\n<li>Equity compensation</li>\n<li>Medical, Dental, and Vision coverage</li>\n<li>HSA / FSA</li>\n<li>401K</li>\n<li>Work-from-Home Stipend</li>\n<li>Therapy Reimbursement</li>\n<li>16-week parental leave for eligible employees</li>\n<li>Carrot Fertility annual reimbursement and membership</li>\n<li>13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st</li>\n<li>Flexible PTO</li>\n<li>Employee Assistance Program (EAP)</li>\n<li>Training and professional development</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a07fcd0f-8c7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://headway.co/","logo":"https://logos.yubhub.co/headway.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5808965004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$131,750 - $165,000","x-skills-required":["Google Sheets","Looker","Financial analysis","Strategic decision-making","Cross-functional collaboration","AI and machine learning","Data visualization"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:17.711Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Google Sheets, Looker, Financial analysis, Strategic decision-making, Cross-functional collaboration, AI and machine learning, Data visualization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":131750,"maxValue":165000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_648f4814-708"},"title":"Senior Software Engineer, Machine Learning (Commerce)","description":"<p>We are looking for a Senior Machine Learning Engineer to join our Revenue ML team at Discord. This role sits at the intersection of Discord&#39;s two most strategic revenue pillars , our growing 1P Shop and our newly launched Game Commerce platform. You&#39;ll be the founding ML voice for commerce discovery and personalization, building systems from the ground up that power recommendations, social commerce mechanics, and marketing targeting across both first-party and third-party storefronts.</p>\n<p>Your responsibilities will include:</p>\n<p>Architecting and owning the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more).</p>\n<p>Designing and deploying scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.</p>\n<p>Building ML-powered marketing targeting systems that identify the right users for the right campaigns , new buyer discounts, drop campaigns, weekly deals, and seasonal promotions , driving conversion without conditioning users to wait for discounts.</p>\n<p>Leveraging Discord&#39;s unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts.</p>\n<p>Driving deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.</p>\n<p>Partnering closely with Shop, Game Commerce, Revenue Infra, ML Infra, and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap.</p>\n<p>To be successful in this role, you will need:</p>\n<p>4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.</p>\n<p>Deep expertise in applied deep learning , particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.</p>\n<p>Strong proficiency in Python and deep learning frameworks (PyTorch preferred).</p>\n<p>Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.</p>\n<p>Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones.</p>\n<p>Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.</p>\n<p>Strong cross-functional instincts , you&#39;re comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.</p>\n<p>Bonus skills include experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems, familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization, and familiarity with loyalty, rewards, or incentive programs.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_648f4814-708","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Discord","sameAs":"https://discord.com/","logo":"https://logos.yubhub.co/discord.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/discord/jobs/8438033002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220,000 to $247,500 + equity + benefits","x-skills-required":["Machine Learning","Deep Learning","Python","PyTorch","Real-time ML serving infrastructure","Feature stores","Model serving","A/B testing frameworks"],"x-skills-preferred":["Graph ML","Social network signals","Personalized marketing systems","Loyalty, rewards, or incentive programs"],"datePosted":"2026-04-18T15:58:06.284Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Python, PyTorch, Real-time ML serving infrastructure, Feature stores, Model serving, A/B testing frameworks, Graph ML, Social network signals, Personalized marketing systems, Loyalty, rewards, or incentive programs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220000,"maxValue":247500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_23100f42-aaf"},"title":"International Expansions Lead","description":"<p>As International Expansion Lead, you will design market entry strategy, build landing Sales teams, and drive early commercial traction in priority markets across APAC, EMEA, and LATAM.</p>\n<p>Develop the global expansion roadmap with clear, compelling business cases to justify each new market expansion decision.</p>\n<p>Design and execute market entry strategy for priority international markets, directing complex workstreams across a wide range of cross-functional teams, working from zero to initial commercial traction.</p>\n<p>Act as interim lead for new markets: recruit local landing teams, win early lighthouse deals, and establish operational foundations.</p>\n<p>Run executive engagement programs , preparing Anthropic leadership for international market visits and orchestrating inbound customer executive visits to HQ for maximum commercial impact.</p>\n<p>Partner with Marketing, Communications, and Global Affairs to adapt Anthropic&#39;s narrative and GTM approach to local market contexts.</p>\n<p>Identify and develop strategic partnerships that accelerate market entry where direct presence alone is insufficient.</p>\n<p>Serve as the primary bridge between international Sales teams and HQ, translating on-the-ground signals into priorities for product, policy, and leadership.</p>\n<p>Build playbooks and repeatable processes that allow Anthropic to enter new markets faster over time.</p>\n<p>Serve as the GTM lead for Anthropic’s mission-oriented international programs related to expansion , including expanding access and affordability in Global South markets.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_23100f42-aaf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5151922008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$270,000 USD","x-skills-required":["GTM","business development","market expansion","strategic partnerships","executive presence","communication skills"],"x-skills-preferred":["AI","machine learning","data analysis","project management"],"datePosted":"2026-04-18T15:58:06.276Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"GTM, business development, market expansion, strategic partnerships, executive presence, communication skills, AI, machine learning, data analysis, project management","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9dfc8dc1-ef4"},"title":"Senior Machine Learning Scientist","description":"<p>We are looking for a Senior Machine Learning Scientist to join our AI Group in Berlin. As a Senior Machine Learning Scientist, you will be responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers&#39; hands. You will work in partnership with Product and Design functions of teams we support. Our team&#39;s dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.</p>\n<p>Your responsibilities will include identifying areas where ML can create value for our customers, identifying the right ML framing of product problems, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic, but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring &amp; socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.</p>\n<p>To be successful in this role, you will need to have broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge (experiment design, dealing with confounding etc), intermediate programming skills, strong communication skills, both within engineering teams and across disciplines, comfort with ambiguity, typically have advanced education in ML or related field (e.g. MSc), and scientific thinking skills. Bonus skills and attributes include track record shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, strong stats or math background, visualization, data skills, SQL, matplotlib, etc.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9dfc8dc1-ef4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7372016","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Broad applied machine learning knowledge","3-5 years applied ML experience","Practical stats knowledge (experiment design, dealing with confounding etc)","Intermediate programming skills","Strong communication skills, both within engineering teams and across disciplines"],"x-skills-preferred":["Track record shipping ML products","PhD or other experience in a research environment","Deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering","Strong stats or math background","Visualization, data skills, SQL, matplotlib, etc."],"datePosted":"2026-04-18T15:58:02.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Broad applied machine learning knowledge, 3-5 years applied ML experience, Practical stats knowledge (experiment design, dealing with confounding etc), Intermediate programming skills, Strong communication skills, both within engineering teams and across disciplines, Track record shipping ML products, PhD or other experience in a research environment, Deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, Strong stats or math background, Visualization, data skills, SQL, matplotlib, etc."},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8cf75fcf-78b"},"title":"Learning Product Manager Lead","description":"<p>We are looking for a Learning Product Manager to own the platform learning experience for Databricks customers, partners, and internal practitioners. You will sit at the intersection of product, UX, and learning science, building the systems that help data and AI teams build skills needed to become successful and confident users of the Databricks platform.</p>\n<p>You&#39;ll define how users discover, practice, and demonstrate skills across in-product journeys, training, and AI-assisted guidance. You will work closely with engineering, design, curriculum, and go-to-market teams to translate pedagogical goals into scalable platform capabilities, from adaptive learning flows and assessments to analytics that prove real skill development.</p>\n<p>Key responsibilities include defining and driving the product vision, strategy, and roadmap for AI-first learning systems on the Databricks platform, designing experiences that surface targeted knowledge precisely when users need it, translating learning and pedagogical goals into platform capabilities, partnering with UX and content design to create intuitive, embedded guidance and learning patterns, collaborating with platform and infrastructure teams to ensure learning and skills systems are reliable, secure, performant, and able to serve global enterprise customers at scale, and providing employees and leaders with transparent views into skills, enablement activities, and progress toward role and organizational goals through dashboards, reports, and in-product insights.</p>\n<p>What success looks like in the first 12 months includes a cohesive, AI-first skills platform and experience being live, guiding users from first login with contextual, just-in-time experiences triggered by work context, clear, trusted metrics existing for learning efficacy and skill attainment, predictive insights into emerging capability and skills gaps being available to leaders, enablement teams using platform tools to deliver personalized learning and guidance at scale without needing to grow headcount proportionally, and learning and skills capabilities being integrated with broader Databricks platform features and measurably improving adoption and expansion.</p>\n<p>Qualifications include 5-8+ years of experience in product management, UX-focused product roles, or learning/education platforms, ideally within B2B SaaS, developer tools, or data/AI products, demonstrated experience owning a product area end to end, experience building or working on learning systems, training platforms, or content/knowledge experiences, strong UX instincts and a track record of collaborating closely with designers and researchers, comfort working with data, excellent written and verbal communication skills, and experience with AI-powered learning, adaptive systems, or building products that incorporate LLMs into user workflows.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8cf75fcf-78b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8466731002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$154,300-$212,200 USD","x-skills-required":["Product Management","UX Design","Learning Science","Data Analytics","AI","Machine Learning","Cloud Computing","Software Development","Project Management"],"x-skills-preferred":["Adobe XD","Figma","Sketch","InVision","Zeplin","Jira","Asana","Trello","Notion","Airtable"],"datePosted":"2026-04-18T15:58:00.009Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, UX Design, Learning Science, Data Analytics, AI, Machine Learning, Cloud Computing, Software Development, Project Management, Adobe XD, Figma, Sketch, InVision, Zeplin, Jira, Asana, Trello, Notion, Airtable","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":154300,"maxValue":212200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_184d1c95-aae"},"title":"AI Research Intern","description":"<p>The Basics</p>\n<p>Taniam is seeking an AI Research Scientist Intern for Summer 2026. This role reports to our Staff Data Scientist leading AI design, prototyping, and experimentation across Tanium products and solutions.</p>\n<p>As an AI Research Scientist Intern, you will have the opportunity to work on challenging real-world problems, gain hands-on experience, and contribute to building intelligent systems that will shape the future of autonomous IT across endpoint management, exposure management, and security operations.</p>\n<p>This is a hybrid position, which will require in person attendance several days each week in Durham, NC OR Emeryville, CA.</p>\n<p>The hourly rate for this internship is $55 to $60 per hour. This hourly rate is an estimate for what Tanium will pay an intern. The actual rate offered may be adjusted based on a variety of factors, including but not limited to, education, skills, training, and experience.</p>\n<p>In addition to an hourly rate, interns will be eligible for a housing stipend, 401k matching, and a monthly allowance for communications reimbursement.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Collaborate with data science and engineering teams to design and implement AI and machine learning (ML) algorithms that improve Tanium’s autonomous IT capabilities.</li>\n</ul>\n<ul>\n<li>Develop and evaluate ML models across a wide variety of use cases, including anomaly detection, threat identification, and performance optimization.</li>\n</ul>\n<ul>\n<li>Analyze large-scale endpoint data to extract meaningful insights and develop predictive models.</li>\n</ul>\n<ul>\n<li>Assist in building data pipelines to efficiently process and analyze endpoint data at scale.</li>\n</ul>\n<ul>\n<li>Conduct exploratory data analyses and visualizations to communicate findings and inform product development decisions.</li>\n</ul>\n<ul>\n<li>Document research, methodologies, and results to contribute to Tanium’s knowledge base.</li>\n</ul>\n<ul>\n<li>Stay up to date with the latest advancements in AI, ML, and endpoint management technologies.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Strong foundation in machine learning, data analysis, and statistics.</li>\n</ul>\n<ul>\n<li>Proficiency in Python.</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas).</li>\n</ul>\n<ul>\n<li>Experience working with large datasets.</li>\n</ul>\n<ul>\n<li>Knowledge in one or more of the following areas:</li>\n</ul>\n<ul>\n<li>Statistics</li>\n</ul>\n<ul>\n<li>Anomaly detection</li>\n</ul>\n<ul>\n<li>Machine learning (classification/regression)</li>\n</ul>\n<ul>\n<li>Internals of large language models (LLMs)</li>\n</ul>\n<ul>\n<li>Agentic AI</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and the ability to work independently and collaboratively.</li>\n</ul>\n<ul>\n<li>Excellent communication skills and the ability to present complex ideas clearly.</li>\n</ul>\n<ul>\n<li>Passion for technology, cybersecurity, and autonomous systems.</li>\n</ul>\n<p>Other qualifications:</p>\n<ul>\n<li>Authorized to work in the U.S. now and in the future</li>\n</ul>\n<ul>\n<li>Available to work full-time from June 8, 2024 to August 14, 2025</li>\n</ul>\n<ul>\n<li>A currently enrolled Master’s/ PhD degree candidate ideally studying Statistics, Machine Learning, or a related field with a 3.5+ GPA</li>\n</ul>\n<ul>\n<li>Graduating Spring 2027 or Fall 2026</li>\n</ul>\n<ul>\n<li>In accordance with Department of Defense requirements, applicants for this role must be a U.S. citizen, national, or resident pursuant to 8 U.S.C. 1101(a)(20) and 8 U.S.C. 1324b(a)(3)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_184d1c95-aae","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Tanium","sameAs":"https://www.tanium.com","logo":"https://logos.yubhub.co/tanium.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/tanium/jobs/7288542","x-work-arrangement":"hybrid","x-experience-level":"internship","x-job-type":"internship","x-salary-range":"$55 to $60 per hour","x-skills-required":["machine learning","data analysis","statistics","Python","PyTorch","scikit-learn","TensorFlow","numpy","scipy","pandas"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:58.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Durham, NC (Hybrid)"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, data analysis, statistics, Python, PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd3543a3-c9d"},"title":"Business Operations & Strategy Manager","description":"<p>We&#39;re looking for a Business Operations &amp; Strategy Manager to join our team at Scale. As a key member of our Business Operations &amp; Strategy team, you will play a critical role in driving mission-critical initiatives across the breadth of Scale. Your responsibilities will include taking on Scale&#39;s difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive deeply into our operations and data, becoming an expert on how Scale operates, and develop a deep understanding of the AI industry. You will build high trust relationships across the organization to partner with and influence outcomes beyond what you directly touch.</p>\n<p>Your work will involve having full ownership of your work and outcome, with broad latitude to run autonomously as you get up to speed. You will partner with, influence, and support the Scale executive team as we tackle the most difficult decisions in the business. You will help incubate, seed, and scale new teams, and design, manage, and iterate on the operational and analytical systems and processes that make Scale hum.</p>\n<p>Ideally, you will have the ability to run on your own, operating at the highest level in a rapidly changing industry during a period of hypergrowth. You will have a penchant for digging deeply into the data yourself, thinking from first principles, and iterating quickly to deliver results. You will have a strong orientation toward outcomes, and a history of being scrappy when it counts. You will have low ego, and an easygoing interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms.</p>\n<p>You will have proven ability to build high trust relationships with a wide range of people across the organization, and a history of developing lightweight processes and getting them adopted. You will have experience in product or project management, taking projects from conception to launch. You will have excellent qualitative and quantitative analytical skills.</p>\n<p>This role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dd3543a3-c9d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4650516005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$176,000-$220,000 USD","x-skills-required":["operational analysis","data analysis","project management","process improvement","team leadership"],"x-skills-preferred":["SQL","Python","data visualization","machine learning"],"datePosted":"2026-04-18T15:57:56.042Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"operational analysis, data analysis, project management, process improvement, team leadership, SQL, Python, data visualization, machine learning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9c235fca-4e3"},"title":"Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI","description":"<p>As a Senior/Staff Machine Learning Engineer on the General Agents team, you&#39;ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems.</p>\n<p>You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.</li>\n<li>Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.</li>\n<li>Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.</li>\n<li>Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.</li>\n<li>Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.</li>\n<li>Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.</li>\n<li>Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.</li>\n<li>Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.</li>\n<li>Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.</li>\n<li>Proven proficiency in Python, including writing production-quality, testable, and maintainable code.</li>\n<li>Experience building systems that integrate models with external tools, APIs, databases, and services.</li>\n<li>Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.</li>\n<li>Strong communication skills and comfort working in customer-facing or cross-functional environments.</li>\n</ul>\n<p>Nice-to-haves include hands-on experience building AI agents using modern generative AI stacks, experience with agent frameworks, orchestration layers, or workflow systems, familiarity with evaluation, monitoring, and observability for LLM-powered systems in production, and experience deploying ML systems in cloud environments and operating them at scale.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9c235fca-4e3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4658162005","x-work-arrangement":"hybrid","x-experience-level":"senior|staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Machine Learning","Artificial Intelligence","Python","LLMs","Agentic System Design"],"x-skills-preferred":["Generative AI Stacks","Agent Frameworks","Orchestration Layers","Workflow Systems","Evaluation, Monitoring, and Observability"],"datePosted":"2026-04-18T15:57:55.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Artificial Intelligence, Python, LLMs, Agentic System Design, Generative AI Stacks, Agent Frameworks, Orchestration Layers, Workflow Systems, Evaluation, Monitoring, and Observability","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_14eb9007-7c8"},"title":"Machine Learning Research Engineer, Agents - Enterprise GenAI","description":"<p>We are seeking a Machine Learning Research Engineer to join our Enterprise ML Research Lab. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real-life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state-of-the-art results through a combination of post-training + agent-building algorithms.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Training state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers.</li>\n<li>Researching cutting-edge algorithms to integrate directly into our training stack.</li>\n<li>Building agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.</li>\n</ul>\n<p>Ideal candidates will have 1-3 years of building with LLMs in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_14eb9007-7c8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4625344005","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["Machine Learning","Artificial Intelligence","Deep Learning","Natural Language Processing","Computer Vision"],"x-skills-preferred":["LLMs","RLHF/RLVR","PPO/GRPO","NEURIPS","ICLR","ICML"],"datePosted":"2026-04-18T15:57:52.753Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing, Computer Vision, LLMs, RLHF/RLVR, PPO/GRPO, NEURIPS, ICLR, ICML","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189600,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f05d190-fce"},"title":"Sr. Manager, Field Engineering - Digital Native Business","description":"<p>As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the fastest-growing tech companies.</p>\n<p>You&#39;ll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers&#39; workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.</p>\n<p>This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.</p>\n<p>A key responsibility of this role is to hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.</li>\n</ul>\n<ul>\n<li>Adapt the SA team&#39;s skills and engagement model to match the needs of Digital native customers.</li>\n</ul>\n<ul>\n<li>Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle.</li>\n</ul>\n<ul>\n<li>Travel to customer sites for executive sessions, technical workshops, and building relationships.</li>\n</ul>\n<ul>\n<li>Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team.</li>\n</ul>\n<ul>\n<li>Stay current with emerging Data and AI trends in the digital native tech sector.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).</li>\n</ul>\n<ul>\n<li>5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment.</li>\n</ul>\n<ul>\n<li>A history of building a territory, growing strategic accounts, and exceeding targets.</li>\n</ul>\n<ul>\n<li>Inspiring a team vision about the unique nature of the digital natives business.</li>\n</ul>\n<ul>\n<li>A history of execution by managing workloads and consumption with sales, product, and engineering counterparts.</li>\n</ul>\n<ul>\n<li>Experience owning executive alignment in accounts that guide strategic decisions.</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.</p>\n<p>Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.</p>\n<p>Based on the factors above, Databricks anticipates utilizing the full width of the range.</p>\n<p>The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</p>\n<p>For more information regarding which range your location is in visit our page here.</p>\n<p>Local Pay Range $192,100-$264,175 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f05d190-fce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8496009002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$192,100-$264,175 USD","x-skills-required":["data warehousing","big data","cloud infrastructure","machine learning","technical product","digital native customers","data, analytical, and AI workloads","Solutions Architects","customer-facing teams","hiring, onboarding, and supporting team members","high-growth environment","executive alignment","accounts that guide strategic decisions"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:49.724Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colorado; Remote - California; Remote - Oregon; Remote - Washington"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data warehousing, big data, cloud infrastructure, machine learning, technical product, digital native customers, data, analytical, and AI workloads, Solutions Architects, customer-facing teams, hiring, onboarding, and supporting team members, high-growth environment, executive alignment, accounts that guide strategic decisions","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":192100,"maxValue":264175,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a9a579af-fdc"},"title":"Sr. Solutions Architect","description":"<p>At Databricks, we are seeking a Senior Solutions Architect to join our Field Engineering team. As a key member of our team, you will work closely with customers to understand their complex data challenges and develop customized solutions using our Data Intelligence Platform.</p>\n<p>Our team is responsible for demonstrating the value of our platform to customers and providing them with the necessary expertise to succeed. We are looking for someone who is passionate about data and has a strong technical background in software engineering.</p>\n<p>In this role, you will have the opportunity to work with a variety of customers across different industries and geographies. You will also have the chance to contribute to the development of our technical community engagement initiatives, including customer-facing collateral and workshops.</p>\n<p>We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced software engineer looking for a new challenge, we encourage you to apply.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.</li>\n<li>Coach junior Solutions Architects and teams on use case prioritization and building technical champions.</li>\n<li>Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.</li>\n<li>Be a &#39;champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.</li>\n<li>Contribute to Databricks&#39; technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.</li>\n<li>Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.</li>\n<li>Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.</li>\n<li>Hands-on expertise with complex proofs-of-concept and public cloud platform(s).</li>\n<li>Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Comprehensive benefits and perks package</li>\n<li>Opportunities for professional growth and development</li>\n<li>Competitive salary</li>\n<li>Flexible working hours</li>\n<li>Collaborative and dynamic work environment</li>\n</ul>\n<p>We are an equal opportunities employer and welcome applications from all qualified candidates.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a9a579af-fdc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8194862002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Scala","Spark","Cloud computing","Data analytics","Software engineering"],"x-skills-preferred":["Machine learning","Data science","Cloud architecture","DevOps","Agile methodologies"],"datePosted":"2026-04-18T15:57:47.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, Australia"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, Scala, Spark, Cloud computing, Data analytics, Software engineering, Machine learning, Data science, Cloud architecture, DevOps, Agile methodologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b4f04efb-515"},"title":"Sr Software Engineer, Search","description":"<p>We are seeking multiple ML Engineers to drive enhancements to our Search Quality. As our Search product continues to evolve, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.</p>\n<p>Key Responsibilities: Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks&#39; products and services. Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.</p>\n<p>What We’re Looking For: BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 6+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance - Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects.</p>\n<p>Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.</p>\n<p>About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.</p>\n<p>Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.</p>\n<p>Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.</p>\n<p>Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer&#39;s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b4f04efb-515","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/7958967002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Search relevance systems","Machine learning","Natural language processing","Text mining","Recommendations","Personalization","Discovery","Conversational AI"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:37.399Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Search relevance systems, Machine learning, Natural language processing, Text mining, Recommendations, Personalization, Discovery, Conversational AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ef18c75a-f72"},"title":"Solutions Architect, Applied AI (Commercial)","description":"<p>As a Solutions Architect, Applied AI (Commercial), you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.\\n\\nYou&#39;ll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.\\n\\nAs a Commercial Solutions Architect, you&#39;ll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude&#39;s reach across the broader Commercial book of business.\\n\\nWorking closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.\\n\\nResponsibilities:\\n\\n<em> Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation\\n\\n</em> Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success\\n\\n<em> Support customers building with the Claude API, Claude Code, and Claude for Enterprise\\n\\n</em> Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend\\n\\n<em> Build reusable blueprints, demos, and enablement assets that scale across customers\\n\\n</em> Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack\\n\\n<em> Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases\\n\\n</em> Identify common integration patterns and contribute insights back to our Product and Engineering teams\\n\\n<em> Travel occasionally to customer sites for workshops, technical deep dives, and relationship building\\n\\n</em> Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns\\n\\nYou may be a good fit if you have:\\n\\n<em> 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience\\n\\n</em> A builder identity. You&#39;ve shipped real software, you have technical taste, and you care about the craft of what you build\\n\\n<em> A systems mindset. When you see a problem, your instinct is to ask &quot;how do I make this reusable.&quot; You&#39;d rather build one thing that serves ten customers than ten things that serve one each\\n\\n</em> Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected\\n\\n<em> Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences\\n\\n</em> Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders\\n\\n<em> Experience designing scalable cloud architectures and integrating with enterprise systems\\n\\n</em> Familiarity with common LLM frameworks and tools, or a background in machine learning or data science\\n\\n<em> Comfort operating in early-stage, ambiguous environments where the playbook doesn&#39;t exist yet, and a track record of building structure as you go\\n\\n</em> Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities\\n\\n<em> A love of teaching, mentoring, and helping others succeed\\n\\n</em> Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $240,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef18c75a-f72","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5192805008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,000-$315,000 USD","x-skills-required":["Python","LLM frameworks","Machine learning","Data science","Cloud architectures","Enterprise systems","Technical communication","Customer-facing skills","Technical depth"],"x-skills-preferred":["Sales engineering","Technical account management","Scalable cloud architectures","Integration with enterprise systems","Common LLM frameworks and tools"],"datePosted":"2026-04-18T15:57:36.898Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM frameworks, Machine learning, Data science, Cloud architectures, Enterprise systems, Technical communication, Customer-facing skills, Technical depth, Sales engineering, Technical account management, Scalable cloud architectures, Integration with enterprise systems, Common LLM frameworks and tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_193a44d6-056"},"title":"Staff Full-Stack Software Engineer, (Forward Deployed), GPS","description":"<p>We&#39;re seeking a Full Stack Software Engineer to join our Global Public Sector team. As a key member of our team, you&#39;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.</p>\n<p>You will:</p>\n<ul>\n<li>Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation</li>\n<li>Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes</li>\n<li>Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments</li>\n<li>Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases</li>\n<li>Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture</li>\n<li>Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems</li>\n<li>10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP)</li>\n<li>Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability</li>\n<li>Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments</li>\n<li>A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization</li>\n<li>A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction</li>\n<li>Proficient in Arabic</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role</li>\n<li>Experience working cross functionally with operations</li>\n<li>Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_193a44d6-056","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4676610005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Node.js","React","Kubernetes","Cloud infrastructure","AI","Machine learning","Distributed systems","Cloud computing","Security"],"x-skills-preferred":["Arabic","LLM-driven solutions","Startup experience","CTO or founding engineer experience","Cross-functional experience with operations"],"datePosted":"2026-04-18T15:57:36.893Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Node.js, React, Kubernetes, Cloud infrastructure, AI, Machine learning, Distributed systems, Cloud computing, Security, Arabic, LLM-driven solutions, Startup experience, CTO or founding engineer experience, Cross-functional experience with operations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1acac706-1e4"},"title":"Senior Engineering Manager, Acquisition","description":"<p>Job Title: Senior Engineering Manager, Acquisition</p>\n<p>Join Brex, the intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets. As a Senior Engineering Manager, Acquisition, you will lead the engineering group responsible for driving Brex&#39;s growth engine.</p>\n<p>About Brex</p>\n<p>Brex is a financial technology company that provides corporate cards and banking services to businesses. With a strong focus on innovation and customer satisfaction, Brex has become a leading player in the fintech industry.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead and mentor high-performing teams of both product engineers and Salesforce admins and developers, fostering their career development through coaching, feedback, and hands-on guidance.</li>\n<li>Drive the architectural vision, technical roadmap, and project execution for our Salesforce platform, GTM applications, and Marketing website (Brex.com), ensuring scalability, performance, and security.</li>\n<li>Champion and integrate AI-native solutions within our Sales, Marketing, Operations, and CX systems and workflows of your teams to drive efficiency and unlock new capabilities.</li>\n<li>Partner with stakeholders across Sales, Marketing, Operations, and CX, acting as a strategic advisor to translate business needs into a prioritized engineering backlog while being jointly accountable to business metrics such as CAC, payback, and rep capacity.</li>\n<li>Own the operational excellence of your group, managing sprint capacity, removing blockers, and ensuring high-velocity, high-quality delivery.</li>\n<li>Establish and enforce engineering best practices for Sales and Marketing applications and the Salesforce ecosystem, including advanced DevOps (CI/CD, source control, release management), code quality, and system governance.</li>\n<li>Design and oversee the implementation of complex integrations and automation across our GTM systems and third-party applications, including owning build vs buy decisions.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, Engineering, or a related field.</li>\n<li>8+ years of software engineering experience with a strong technical background, with 3+ years of experience managing or leading multiple technical teams in a high-growth environment.</li>\n<li>3+ years of progressive experience in Salesforce development and architecture.</li>\n<li>Deep expertise in the Salesforce platform, including Apex, Lightning Web Components, SOQL, and platform APIs.</li>\n<li>Experience architecting and building robust integrations between Salesforce and a broader ecosystem of GTM tools and third-party applications.</li>\n<li>Excellent interpersonal and relationship-building skills with the ability to manage and communicate effectively with XFN partners (e.g. Sales, Marketing, CX, and Operations) at all levels, from individual contributors to senior leadership.</li>\n<li>A strategic mindset with the ability to balance long-term platform health with immediate business needs, and a proven ability to prioritize and push back when work is not aligned with company goals.</li>\n<li>A passion for leveraging AI to improve both team productivity and the products you build.</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Salesforce certifications (e.g., Platform Developer II, Application/System Architect).</li>\n<li>Experience managing remote or distributed engineering teams.</li>\n<li>Former founders welcome.</li>\n<li>Experience building Slack applications and integrations.</li>\n<li>Experience with B2B growth.</li>\n<li>You have started your own technology venture or were a foundational engineering member of an early-stage start up. We value entrepreneurial spirit &amp; scrappiness!</li>\n<li>You are a champion for the customer and constantly put yourself in the shoes of your users, and strive to create an intuitive and delightful experience.</li>\n</ul>\n<p>Compensation</p>\n<p>The expected salary range for this role is $300,000 - $375,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1acac706-1e4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8299931002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $375,000","x-skills-required":["Salesforce","Apex","Lightning Web Components","SOQL","Platform APIs","DevOps","CI/CD","Source Control","Release Management","Code Quality","System Governance"],"x-skills-preferred":["AI","Machine Learning","Cloud Computing","Data Integration","Security"],"datePosted":"2026-04-18T15:57:30.269Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, Washington, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Salesforce, Apex, Lightning Web Components, SOQL, Platform APIs, DevOps, CI/CD, Source Control, Release Management, Code Quality, System Governance, AI, Machine Learning, Cloud Computing, Data Integration, Security","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":375000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8871a994-591"},"title":"Machine Learning Engineer, Core Engineering","description":"<p>We&#39;re seeking a talented Machine Learning Engineer to join our Core Engineering team. As a Machine Learning Engineer at Pinterest, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces, while gaining knowledge of how ML works in different areas.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest</li>\n<li>Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas</li>\n<li>Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval</li>\n<li>Work in a high-impact environment with quick experimentation and product launches</li>\n<li>Keep up with industry trends in recommendation systems</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)</li>\n<li>End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)</li>\n<li>Degree in computer science, machine learning, statistics, or related field</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>M.S. or PhD in Machine Learning or related areas</li>\n<li>Publications at top ML conferences</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n<li>Expertise in scalable real-time systems that process stream data</li>\n<li>Passion for applied ML and the Pinterest product</li>\n</ul>\n<p>Relocation Statement:</p>\n<p>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8871a994-591","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6121450","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$138,905-$285,982 USD","x-skills-required":["machine learning","deep learning","data processing pipelines","large-scale machine learning systems","big data technologies","Hadoop","Spark","natural language processing","reinforcement learning","graph representation learning"],"x-skills-preferred":["Cursor","Copilot","Codex","LLM-powered productivity tools","scalable real-time systems","stream data"],"datePosted":"2026-04-18T15:57:30.186Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, data processing pipelines, large-scale machine learning systems, big data technologies, Hadoop, Spark, natural language processing, reinforcement learning, graph representation learning, Cursor, Copilot, Codex, LLM-powered productivity tools, scalable real-time systems, stream data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138905,"maxValue":285982,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_769c0070-5b2"},"title":"Research Scientist, Agent Robustness","description":"<p>As a Research Scientist working on Agent Robustness, you will work on the fundamental challenges of building AI agents that are safe and aligned with humans.</p>\n<p>For example, you might:</p>\n<ul>\n<li>Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;</li>\n<li>Design and build harnesses to test AI agents&#39; tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;</li>\n<li>Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;</li>\n<li>Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;</li>\n<li>Practical experience conducting technical research collaboratively;</li>\n<li>Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;</li>\n<li>A track record of published research in machine learning, particularly in generative AI;</li>\n<li>At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;</li>\n<li>Strong written and verbal communication skills to operate in a cross-functional team.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;</li>\n<li>Experience with red-teaming, prompt injection, or adversarial testing of AI systems.</li>\n</ul>\n<p>Our research interviews are crafted to assess candidates&#39; skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you&#39;re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn&#39;t perfectly align with every requirement.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_769c0070-5b2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4675684005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance","Practical experience conducting technical research collaboratively","Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches","A track record of published research in machine learning, particularly in generative AI","At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development"],"x-skills-preferred":["Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools","Experience with red-teaming, prompt injection, or adversarial testing of AI systems"],"datePosted":"2026-04-18T15:57:29.447Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance, Practical experience conducting technical research collaboratively, Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches, A track record of published research in machine learning, particularly in generative AI, At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development, Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools, Experience with red-teaming, prompt injection, or adversarial testing of AI systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7e28478b-c37"},"title":"Research, Audio Expertise","description":"<p>We&#39;re seeking a researcher to advance the frontier of audio capabilities. You&#39;ll explore how audio models enable more natural and efficient communication/collaboration, preserving more information and capturing user intent.</p>\n<p>This is a highly collaborative role. You&#39;ll work closely across pre-training, post-training, and product with world-class researchers, infrastructure engineers, and designers.</p>\n<p>As a researcher in this role, you&#39;ll be expected to:</p>\n<ul>\n<li>Own research projects on audio training, low-latency inference, and conversational responsiveness.</li>\n<li>Design and train large-scale models that natively support audio input and output.</li>\n<li>Investigate scaling behaviour such as how data, model size, and compute affect capability and efficiency.</li>\n<li>Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.</li>\n<li>Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.</li>\n<li>Publish and present research that moves the entire community forward.</li>\n</ul>\n<p>Share code, datasets, and insights that accelerate progress across industry and academia.</p>\n<p>This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports.</p>\n<p>It&#39;s an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7e28478b-c37","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Thinking Machines Lab","sameAs":"https://thinkingmachines.ai/","logo":"https://logos.yubhub.co/thinkingmachines.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5002212008","x-work-arrangement":"onsite","x-experience-level":"mid|senior","x-job-type":"full-time","x-salary-range":"$350,000 - $475,000 USD","x-skills-required":["Python","PyTorch","TensorFlow","JAX","Machine Learning","Deep Learning","Distributed Compute Environments"],"x-skills-preferred":["Probability","Statistics","Real-time Inference","Streaming Architectures","Optimization for Low Latency","Large-Scale Audio or Multimodal Models","Speech, Audio, Voice, or Similar Areas"],"datePosted":"2026-04-18T15:57:29.075Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, JAX, Machine Learning, Deep Learning, Distributed Compute Environments, Probability, Statistics, Real-time Inference, Streaming Architectures, Optimization for Low Latency, Large-Scale Audio or Multimodal Models, Speech, Audio, Voice, or Similar Areas","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":475000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b4b30857-d8f"},"title":"Member of Technical Staff - Internal Tools","description":"<p>About the Role</p>\n<p>We are looking for a backend engineer to join our xAI Tooling team (Starfleet). As a member of this team, you will design, develop, and maintain robust, scalable backend systems that empower our researchers, engineers, and product teams to build, experiment with, and deploy cutting-edge AI models and applications more effectively.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Design and build robust, scalable backend systems to power our AI-driven tools and platforms.</li>\n<li>Develop APIs and distributed systems that handle high-throughput data processing for model training and evaluation.</li>\n<li>Create secure, reliable pipelines to support innovative human data generation and agentic workflows.</li>\n<li>Optimise infrastructure to leverage cutting-edge GPU resources for maximum performance.</li>\n<li>Innovate new approaches that bring us closer to our goal: to develop AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.</li>\n</ul>\n<p>Basic Qualifications</p>\n<ul>\n<li>Experience building high-performance backend systems in dynamic, fast-paced environments - as a tech lead, former founder, etc.</li>\n<li>Expertise in designing scalable distributed systems and APIs with a compiled language like Rust or C++.</li>\n<li>Experience optimising data pipelines for machine learning workloads or real-time applications.</li>\n</ul>\n<p>Preferred Skills and Experience</p>\n<ul>\n<li>Familiarity with frontend technologies (e.g., TypeScript, React) to collaborate seamlessly with cross-functional teams.</li>\n</ul>\n<p>Compensation and Benefits</p>\n<p>$180,000 - $440,000 USD</p>\n<p>Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b4b30857-d8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5052038007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$180,000 - $440,000 USD","x-skills-required":["Rust","C++","APIs","Distributed Systems","Machine Learning","Real-Time Applications"],"x-skills-preferred":["TypeScript","React"],"datePosted":"2026-04-18T15:57:25.412Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Rust, C++, APIs, Distributed Systems, Machine Learning, Real-Time Applications, TypeScript, React","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":440000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae6df2c2-eb1"},"title":"DevOps Engineer, Infrastructure & Security","description":"<p>As a DevOps Engineer, Infrastructure &amp; Security at Scale, you will play a crucial role in building out and enhancing our CI/CD pipelines. Our product portfolio and customer base are expanding, and we need skilled engineers to streamline our Software Development Life Cycle (SDLC) through collaborative efforts.</p>\n<p>You will design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. You will collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.</p>\n<p>Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.</p>\n<p>Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. Document pipeline processes and configurations to ensure maintainability and knowledge transfer.</p>\n<p>Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.</p>\n<p>We are looking for experienced DevOps Engineers, DevSecOps Engineers, Software Engineers with a strong focus on CI/CD, or a similar role. You should have a proven track record of building or significantly enhancing CI/CD pipelines.</p>\n<p>Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments is a plus. Familiarity with standard containerization &amp; deployment technologies like Kubernetes, Terraform, Docker, etc. is also required.</p>\n<p>We offer a competitive salary range of $245,600-$307,000 USD, comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae6df2c2-eb1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4674863005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245,600-$307,000 USD","x-skills-required":["CI/CD","Kubernetes","Terraform","Docker","Python","Bash","PowerShell","Jenkins","GitLab CI","GitHub Actions","Azure DevOps","AWS","Azure","GCP","Security best practices"],"x-skills-preferred":["Containerization technologies","Machine learning lifecycles","MLOps concepts","Prior experience in classified environments"],"datePosted":"2026-04-18T15:57:24.917Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"CI/CD, Kubernetes, Terraform, Docker, Python, Bash, PowerShell, Jenkins, GitLab CI, GitHub Actions, Azure DevOps, AWS, Azure, GCP, Security best practices, Containerization technologies, Machine learning lifecycles, MLOps concepts, Prior experience in classified environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245600,"maxValue":307000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed622ad1-139"},"title":"Strategic Account Executive, Tech","description":"<p>As a Strategic Account Executive at Anthropic, you&#39;ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You&#39;ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities.</p>\n<p>In collaboration with GTM, product, and marketing teams, you&#39;ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.</p>\n<p>The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic&#39;s emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch</li>\n</ul>\n<ul>\n<li>Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns</li>\n</ul>\n<ul>\n<li>Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge</li>\n</ul>\n<ul>\n<li>Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience</li>\n</ul>\n<ul>\n<li>Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach</li>\n</ul>\n<ul>\n<li>Have a track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions</li>\n</ul>\n<ul>\n<li>Can navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups</li>\n</ul>\n<ul>\n<li>Have extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders</li>\n</ul>\n<ul>\n<li>Can prove experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process</li>\n</ul>\n<ul>\n<li>Possess excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives</li>\n</ul>\n<ul>\n<li>Are a true team player with a knack for bringing order to chaos and an enthusiastic ‘roll up your sleeves’ mentality</li>\n</ul>\n<ul>\n<li>Have a strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities</li>\n</ul>\n<ul>\n<li>Have a passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely</li>\n</ul>\n<p>Annual compensation range for this role is $290,000-$435,000 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ed622ad1-139","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5109135008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$435,000 USD","x-skills-required":["Enterprise sales experience","Consultative sales approach","Sales strategy and planning","Market analysis and research","Customer relationship management","Negotiation and closing deals","Communication and presentation skills","Teamwork and collaboration","Analytical and problem-solving skills","Passion for AI and technology"],"x-skills-preferred":["AI and machine learning","Data analysis and interpretation","Business development and growth","Marketing and sales strategy","Product development and launch","Project management and execution"],"datePosted":"2026-04-18T15:57:18.163Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise sales experience, Consultative sales approach, Sales strategy and planning, Market analysis and research, Customer relationship management, Negotiation and closing deals, Communication and presentation skills, Teamwork and collaboration, Analytical and problem-solving skills, Passion for AI and technology, AI and machine learning, Data analysis and interpretation, Business development and growth, Marketing and sales strategy, Product development and launch, Project management and execution","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":435000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc3dea31-75f"},"title":"Head of AI-Native Talent Systems","description":"<p>About Gusto</p>\n<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.</p>\n<p>All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.</p>\n<p>AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.</p>\n<p>About the Role:</p>\n<p>Gusto is looking for a builder to take on the role of Head of AI-Native Talent Systems as we rethink how people grow in an AI-native company. This role is about designing the systems that shape growth day to day. Not courses. Not programs. The actual mechanics of work. Onboarding, feedback, performance reviews, promotion decisions, and leadership expectations should all help people get better by default, without needing special events or extra effort.</p>\n<p>You will be responsible for building new architecture and tearing down what no longer serves us. AI will be a core part of how you do this, not as a concept, but as a practical tool for reflection, coaching, skill building, and clarity. The goal is simple but hard: make growth obvious, continuous, and hard to avoid.</p>\n<p>This is a role for someone who wants to build something durable, test it in the real world, and keep improving it. If it works, others will copy it. If it doesn’t, you’ll learn fast and fix it.</p>\n<p>About the Team:</p>\n<p>The Talent Development team sits within the Gustie Engagement Team, with a shared purpose: to help Gusties write the best chapters of their careers. We do this by designing the conditions that create clarity, connection, and commitment across the employee journey, not through programs, but through how work actually happens.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>Own the Gustie growth system at Gusto, from onboarding through executive leadership, with AI embedded at its core</li>\n</ul>\n<ul>\n<li>Redesign moments like feedback, performance reviews, and promotion decisions so AI actively helps people reflect, learn, and improve in real time</li>\n</ul>\n<ul>\n<li>Treat AI as a design partner in growth, deciding deliberately where it should lead, where it should support, and where humans stay firmly in charge</li>\n</ul>\n<ul>\n<li>Build development directly into the flow of work, with AI reducing friction, surfacing insights, and prompting better decisions</li>\n</ul>\n<ul>\n<li>Prototype, test, and ship AI-enabled changes that meaningfully improve how people grow here</li>\n</ul>\n<ul>\n<li>Define new AI-native standards for leadership development, coaching, and skill building</li>\n</ul>\n<ul>\n<li>Create feedback loops and signals, powered by AI, that make growth, readiness, and leadership effectiveness visible as the company evolves</li>\n</ul>\n<ul>\n<li>Continuously revisit what belongs in code, what belongs in judgment, and how the boundary should shift over time</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>You’ve built something that changed how people actually worked. It might have been called talent, product, systems, or something else entirely, but it moved behavior, not just decks.</li>\n</ul>\n<ul>\n<li>You believe the walls are hollow and you don’t assume systems are fixed just because they look finished. You get impatient with patchwork solutions and prefer fixing the system instead.</li>\n</ul>\n<ul>\n<li>You’re comfortable starting without a playbook and writing one as you go.</li>\n</ul>\n<ul>\n<li>You already use AI as part of how you think and work, not as a talking point or side project.</li>\n</ul>\n<ul>\n<li>You can hold a long-term point of view while shipping fast and putting real things into the world.</li>\n</ul>\n<ul>\n<li>You have strong opinions about what good looks like, and you’re willing to change them when reality disagrees.</li>\n</ul>\n<ul>\n<li>You care deeply about how people grow, especially when things are changing quickly or breaking in interesting ways.</li>\n</ul>\n<p>People who fit this role often have 10–12 years of relevant experience, but we care far more about what you’ve built than how your resume is labeled.</p>\n<p>What does success look like?</p>\n<p>A year into this role, growth at Gusto is no longer something people are asked to manage on top of their jobs. It is something the company’s systems quietly and consistently do. The everyday work of the company generates signal by default. Decisions, docs, code, customer interactions, feedback, and leadership moments all leave usable traces. Those signals are captured and interpreted as work happens, then reflected back in ways that help people see patterns, progress, and gaps without needing to reconstruct the past or advocate for themselves.</p>\n<p>Growth becomes legible. Learning is no longer organized around classes, curricula, or moments on a calendar. Instead, it exists as an always-on environment woven into how work gets done. People can quickly see examples of strong judgment, understand what “good” looks like in context, and explore how similar problems have been solved before.</p>\n<p>AI makes this possible at scale by synthesizing real examples, answering questions in the moment, connecting people to relevant expertise, and turning individual insight into shared capability.</p>\n<p>Over time, development feels less like an intervention and more like a natural byproduct of doing the work. People pull what they need when they need it. Leaders spend less time explaining expectations and more time reinforcing them.</p>\n<p>The system improves with use, because every interaction adds clarity rather than noise. Importantly, the system has a point of view. It creates gentle pressure in the right places and removes friction in the wrong ones. It makes certain behaviors easier, others harder, and does so through design rather than persuasion.</p>\n<p>Standards become clear not because they are stated repeatedly, but because the environment reinforces them.</p>\n<p>At that point, this work no longer resembles traditional Talent Development or Performance Management. It looks like core infrastructure for a company that expects to keep changing, and expects its people to keep pace not through heroics, but through design.</p>\n<p>Our cash compensation amount for this role is $150,000 /year to $180,000 /year in Denver &amp; most major metro locations, and $177,000/year to $210,000 /year for San Francisco &amp; New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale.</p>\n<p>Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.</p>\n<p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.</p>\n<p>Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc3dea31-75f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7553088","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 /year to $180,000 /year in Denver & most major metro locations, and $177,000/year to $210,000 /year for San Francisco & New York","x-skills-required":["AI","Talent Development","Performance Management","Leadership Development","Coaching","Skill Building","Feedback Loops","Signal Analysis","Machine Learning","Data Analysis"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:17.193Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver, CO;San Francisco, CA;New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Technology","skills":"AI, Talent Development, Performance Management, Leadership Development, Coaching, Skill Building, Feedback Loops, Signal Analysis, Machine Learning, Data Analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7c809f8b-e66"},"title":"Sr. Data Scientist, Core","description":"<p>We&#39;re seeking a Senior Data Scientist to join our Core organization, where you&#39;ll shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation, and algorithms will be utilized to solve complex engineering challenges. You&#39;ll collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others to drive product development and introduce scientific rigor into real-world products serving hundreds of millions of users.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing best practices for instrumentation and experimentation to help fulfill our mission to bring everyone the inspiration to create a life they love</li>\n<li>Bringing scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our users</li>\n<li>Building and prototyping analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li>\n<li>Working cross-functionally to build and communicate key insights, and collaborating closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li>\n<li>Extensive experience solving analytical problems using quantitative approaches, including machine learning, statistical modeling, forecasting, econometrics, or other related fields</li>\n<li>Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn</li>\n<li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail, and commitment to high-quality, results-oriented output</li>\n<li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li>\n<li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li>\n<li>A team player who&#39;s able to partner with cross-functional leadership to quickly turn insights into actions</li>\n</ul>\n<p>Relocation assistance is not eligible for this position. The base salary range for this position is $139,764-$287,749 USD, and the position is eligible for equity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7c809f8b-e66","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/6087213","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,764-$287,749 USD","x-skills-required":["Quantitative modeling","Experimentation","Algorithms","Machine learning","Statistical modeling","Forecasting","Econometrics","SQL","Python","R"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:11.326Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Quantitative modeling, Experimentation, Algorithms, Machine learning, Statistical modeling, Forecasting, Econometrics, SQL, Python, R","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139764,"maxValue":287749,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_13a80645-7e0"},"title":"Technical Deployment Lead, Applied AI","description":"<p>As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.</p>\n<p>You&#39;ll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.</p>\n<p>You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You&#39;ll own engagements end-to-end, from SOW through production deployment.</p>\n<p>You&#39;ll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Manage the technical delivery plan for each engagement.</li>\n<li>Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.</li>\n<li>Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.</li>\n<li>Supervise technical discovery: map customer workflows, identify constraints, define the MVP scope, and shape the solution architecture for custom agent deployments.</li>\n<li>Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.</li>\n<li>Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic remote to senior commercial and technical executives in terms of technical credibility.</li>\n<li>Master value measurement and ROI: define impact hypotheses, establish baselines, and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.</li>\n<li>BOYD reusable solution patterns, evaluation frameworks, and technical manuals. Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.</li>\n</ul>\n<p>Navigating enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</p>\n<p>Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, when necessary.</p>\n<p>Manage delivery operations: sprint ceremonies, step reviews, and progress reports.</p>\n<p>Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).</p>\n<p>Profile:</p>\n<ul>\n<li>More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, founders/startups, technical profiles, professional services, consulting, or enterprise software.</li>\n<li>Have deployed AI-based agent solutions, ML, or LLM. You understand applicable models, integration approaches, and reality on the ground.</li>\n<li>Can hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won&#39;t write production code, but will be responsible for leading technical direction of engagements alongside Forward Deployed Engineers.</li>\n<li>Have experience delivering complex, high-stakes technical projects for enterprise customers, whose results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.</li>\n<li>Have an assertive personality: you&#39;re comfortable, credible, and able to represent Anthropic in high-stakes environments.</li>\n<li>Overcome ambiguous contexts and bring structure where there isn&#39;t.</li>\n<li>Have a builder mindset: you&#39;re here to create a function, not occupy it.</li>\n</ul>\n<p>Additional assets:</p>\n<ul>\n<li>Experience in financial services, healthcare, life sciences, or pharmaceutical industries.</li>\n<li>Experience in a field-deployed engineering organisation or professional services and consulting firms.</li>\n<li>Exceptional understanding of LLM capabilities and limitations.</li>\n<li>Experience with regulated industries and compliance requirements.</li>\n<li>Experience managing delivery teams with integrated engineers on customer sites.</li>\n<li>Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_13a80645-7e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5153761008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","LLM","Technical Leadership","Project Management","Customer Relationship Management","Value Measurement","ROI","Solution Architecture","Technical Discovery","Engineering Work Management","Product Scoping","Stakeholder Management","Organisational Complexity","Regulatory Compliance","Security Audits","Legal Approvals","Procurement Processes","Compliance Requirements","Enterprise Software","Professional Services","Consulting","Founders/Startups","Technical Profiles"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:10.848Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, LLM, Technical Leadership, Project Management, Customer Relationship Management, Value Measurement, ROI, Solution Architecture, Technical Discovery, Engineering Work Management, Product Scoping, Stakeholder Management, Organisational Complexity, Regulatory Compliance, Security Audits, Legal Approvals, Procurement Processes, Compliance Requirements, Enterprise Software, Professional Services, Consulting, Founders/Startups, Technical Profiles"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ae54e75e-7fa"},"title":"Product Manager, AI","description":"<p>We&#39;re hiring Product Managers to join the team building Airtable&#39;s AI-native future. Our current areas of focus include AI-assisted app building, intelligent agents, and analysis &amp; synthesis. You&#39;ll help define what AI-native software building looks like.</p>\n<p>As a Product Manager, you&#39;ll own and ship AI features that help users more confidently and efficiently build and work with Airtable apps. You&#39;ll drive product decisions on complex AI interaction problems, partner with customers to identify repeatable use cases, and develop deep understanding of user needs through research, data analysis, and direct customer engagement.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning and shipping AI features that help users more confidently and efficiently build and work with Airtable apps</li>\n<li>Driving product decisions on complex AI interaction problems</li>\n<li>Partnering with customers to identify repeatable use cases and workflows where AI delivers differentiated value</li>\n<li>Developing deep understanding of user needs through research, data analysis, and direct customer engagement</li>\n<li>Staying at the forefront of what&#39;s possible with AI and identifying opportunities to apply advances in model capabilities to Airtable&#39;s product</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>3-5 years of product management experience with a track record of shipping products users love</li>\n<li>Experience building AI/ML-powered features, or strong familiarity with LLM capabilities and constraints</li>\n<li>Strong product instincts: you can look at a flow and identify what&#39;s confusing, what&#39;s missing, what could be better</li>\n<li>Comfort with ambiguity: you can make progress on loosely-defined problems and have experience shaping zero to one features</li>\n<li>Technical fluency: you can have productive conversations with engineers about architecture tradeoffs</li>\n<li>User empathy: you understand how non-technical users think and can translate complex capabilities into intuitive experiences</li>\n<li>Strong analytical skills with demonstrated ability to make data-informed decisions quickly with imperfect information</li>\n<li>Excellent communication skills, with the ability to articulate a product vision and direction to both technical and non-technical audiences</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ae54e75e-7fa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airtable","sameAs":"https://airtable.com/","logo":"https://logos.yubhub.co/airtable.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airtable/jobs/8199012002","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Natural Language Processing","Software Development","Product Management"],"x-skills-preferred":["Cloud Computing","Data Analysis","User Experience Design"],"datePosted":"2026-04-18T15:57:09.748Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Natural Language Processing, Software Development, Product Management, Cloud Computing, Data Analysis, User Experience Design"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_03224784-9c2"},"title":"Senior Data Engineering Manager","description":"<p>Job Title: Senior Data Engineering Manager</p>\n<p>Location: Dublin, Ireland</p>\n<p>Department: R&amp;D</p>\n<p>Job Description:</p>\n<p>Intercom is seeking a Senior Data Engineering Manager to lead the design and evolution of the core infrastructure that powers our entire data ecosystem. As a leader, you will partner with product and business teams to drive key data initiatives and ensure the success of our data engineering team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Next-Gen Platform Evolution: Partner with product and business teams to design and implement the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.</li>\n</ul>\n<ul>\n<li>Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build self-service tooling and infrastructure that enables them to move fast and deploy safely.</li>\n</ul>\n<ul>\n<li>Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.</li>\n</ul>\n<ul>\n<li>Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.</li>\n</ul>\n<p>Strategic Impact You&#39;ll Drive:</p>\n<ul>\n<li>GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business-focused internal software.</li>\n</ul>\n<ul>\n<li>Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.</li>\n</ul>\n<ul>\n<li>Platform &amp; Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.</li>\n</ul>\n<p>Recent Wins You&#39;ll Build Upon:</p>\n<ul>\n<li>AI-assisted Local Analytics Development Environment for Airflow and DBT.</li>\n</ul>\n<ul>\n<li>Data-rich AI apps containerized on Snowflake SPCS.</li>\n</ul>\n<ul>\n<li>A new, modern data catalog solution.</li>\n</ul>\n<ul>\n<li>Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>A leader, a builder, and a problem-solver who thrives on solving real-world business problems.</li>\n</ul>\n<ul>\n<li>7+ years of experience in the data space, leading teams of 6+ engineers.</li>\n</ul>\n<ul>\n<li>Stakeholder focus: ability to communicate complex technical solutions to a business-focused audience and vice versa.</li>\n</ul>\n<ul>\n<li>Technical depth: not afraid to get hands dirty and write code when needed.</li>\n</ul>\n<ul>\n<li>A leader and mentor: naturally recognizes opportunities to step back and mentor others.</li>\n</ul>\n<p>Bonus Points (Our Modern Stack Knowledge):</p>\n<ul>\n<li>Airflow at scale: extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.</li>\n</ul>\n<ul>\n<li>Modern data stack fluency: familiarity with tools like Snowflake and DBT.</li>\n</ul>\n<ul>\n<li>Future-focused: keeps a keen eye on industry trends and emerging technologies.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up.</li>\n</ul>\n<ul>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>\n</ul>\n<ul>\n<li>Regular compensation reviews - we reward great work!</li>\n</ul>\n<ul>\n<li>Pension scheme &amp; match up to 4%.</li>\n</ul>\n<ul>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>\n</ul>\n<ul>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it.</li>\n</ul>\n<ul>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>\n</ul>\n<ul>\n<li>If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>\n</ul>\n<ul>\n<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>\n</ul>\n<p>Policies:</p>\n<ul>\n<li>Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.</li>\n</ul>\n<ul>\n<li>We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_03224784-9c2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7574762","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Airflow","Apache Airflow","DBT","Snowflake","Data Engineering","Data Science","Analytics","Data Management","Data Quality","Automation","Cloud Computing","Data Warehousing","Big Data","Machine Learning","Artificial Intelligence"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:06.635Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Airflow, Apache Airflow, DBT, Snowflake, Data Engineering, Data Science, Analytics, Data Management, Data Quality, Automation, Cloud Computing, Data Warehousing, Big Data, Machine Learning, Artificial Intelligence"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3a936a2d-e4a"},"title":"Manager, Big Data Architecture – Professional Services (DWH, Data Engineering & Migrations)","description":"<p>As a Manager of Resident Solutions Architects at Databricks, you will provide strategic leadership for delivering professional services engagements to high-value Databricks customers. You will help shape the future big data and machine learning landscape for leading Fortune 500 organisations.</p>\n<p>Part of this role will include a people-leadership capacity, responsible for core aspects of building and managing the Resident Solutions Architect team. Through your oversight and mentorship, this team will guide our largest customers, implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks.</p>\n<p>Beyond people leadership, your responsibilities will include owning the delivery of customer projects in your region to ensure they are managed and delivered to target and exacting standards. You will be an ambassador for Services and their value in the region, will represent the organisation in steering committees, and will work with cross-functional teams and leaders to ensure Services support the development of the local business.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Achieving regional team targets for billable utilisation, hiring and revenue</li>\n<li>Partnering with account executives, customer success and field engineering leaders while guiding Resident Solutions Architects to achieve success with professional services projects with customers</li>\n<li>Helping resolve customer concerns on strategic accounts and professional services engagements</li>\n<li>Analysing operational processes and escalation procedures and performing training needs assessments to identify opportunities for improving service delivery and contributing to customers</li>\n<li>Managing a team of Resident Solution Architects and acting as a supportive manager, including handling escalations, mentoring team members, and building a career path for the assigned team members</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Proven leadership experience in managing and guiding consulting, delivery, or solution architecture teams, ensuring successful project execution and team development</li>\n<li>Strong technical background as a hands-on Solutions Architect, enabling you to effectively support and mentor technical architects under your leadership while driving strategic initiatives</li>\n<li>Experience driving software platform adoption in Fortune 500 organisations in markets such as finance, media, retail, telco, energy, and healthcare</li>\n<li>Implementing a project schedule with experience with customer engagement</li>\n<li>Experience with Databricks products, Spark ecosystem, and direct competitors</li>\n<li>Travel is required up to 10%, more at peak times</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3a936a2d-e4a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8439078002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Leadership","Strategic planning","Project management","Data engineering","Machine learning","Spark ecosystem","Databricks products"],"x-skills-preferred":["Cloud computing","DevOps","Agile methodologies"],"datePosted":"2026-04-18T15:57:06.553Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, France"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Leadership, Strategic planning, Project management, Data engineering, Machine learning, Spark ecosystem, Databricks products, Cloud computing, DevOps, Agile methodologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_13505dca-891"},"title":"Solutions Architect, Applied AI (Commercial)","description":"<p>As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.\\n\\nYou&#39;ll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.\\n\\nAs a Commercial Solutions Architect, you&#39;ll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude&#39;s reach across the broader Commercial book of business.\\n\\nWorking closely with our Sales, Product, and Engineering teams, you&#39;ll guide customers from initial technical discovery through successful deployment. You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.\\n\\nResponsibilities:\\n\\nPartner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation\\n\\nServe as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success\\n\\nSupport customers building with the Claude API, Claude Code, and Claude for Enterprise\\n\\nShip working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend\\n\\nBuild reusable blueprints, demos, and enablement assets that scale across customers\\n\\nGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack\\n\\nHelp customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases\\n\\nIdentify common integration patterns and contribute insights back to our Product and Engineering teams\\n\\nTravel occasionally to customer sites for workshops, technical deep dives, and relationship building\\n\\nMaintain strong knowledge of the latest developments in LLM capabilities and implementation patterns\\n\\nYou may be a good fit if you have:\\n\\n3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience\\n\\nA builder identity. You&#39;ve shipped real software, you have technical taste, and you care about the craft of what you build\\n\\nA systems mindset. When you see a problem, your instinct is to ask &quot;how do I make this reusable.&quot; You&#39;d rather build one thing that serves ten customers than ten things that serve one each\\n\\nStrong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected\\n\\nStrong ability to build trust with technical stakeholders and adjust your communication for varied audiences\\n\\nStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholders\\n\\nExperience designing scalable cloud architectures and integrating with enterprise systems\\n\\nFamiliarity with common LLM frameworks and tools, or a background in machine learning or data science\\n\\nComfort operating in early-stage, ambiguous environments where the playbook doesn&#39;t exist yet, and a track record of building structure as you go\\n\\nExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities\\n\\nA love of teaching, mentoring, and helping others succeed\\n\\nPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary:$240,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_13505dca-891","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5192805008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$240,000-$315,000 USD","x-skills-required":["Python","LLM","Cloud Architecture","Enterprise Integration","Machine Learning","Data Science"],"x-skills-preferred":["Builder Identity","Systems Mindset","Technical Communication","Customer-Facing Skills"],"datePosted":"2026-04-18T15:57:04.205Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLM, Cloud Architecture, Enterprise Integration, Machine Learning, Data Science, Builder Identity, Systems Mindset, Technical Communication, Customer-Facing Skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":240000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61a3b3e1-03d"},"title":"Strategic Account Executive - Central/East","description":"<p>We&#39;re seeking a Strategic Account Executive to join our team. As a Strategic Account Executive, you will prospect, qualify, pursue and close opportunities in the assigned Strategic accounts, using key enterprise sales strategies. You will develop trusted advisor level relationships with senior executives and other important decision makers and influencers, identify account needs and craft compelling cases for Elastic solutions, and drive successful business outcomes and unlock additional opportunities.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Driving and managing sales strategy</li>\n<li>Building trust with stakeholders</li>\n<li>Being customer focused</li>\n<li>Providing account leadership</li>\n<li>Creating business proposals</li>\n<li>Managing pipeline</li>\n</ul>\n<p>You will be responsible for maintaining a comprehensive working knowledge and understanding of all Elastic products and solutions to effectively meet customer needs.</p>\n<p>Requirements include:</p>\n<ul>\n<li>Minimum 10 years experience in enterprise software sales for high-growth companies</li>\n<li>Established track record of increasing B2B sales of high-tech solutions, specifically within Fortune 500 and large enterprise accounts</li>\n<li>Demonstrated expertise in influencing and selling to C-suite executives on seven-to-eight-figure opportunities within premier enterprises</li>\n<li>Excellent sales and presentation skills, supported by a consistent history of success</li>\n<li>Exceptional ability to lead cross-functional teams across dispersed geographies</li>\n<li>Recognized by customers as an authority in search technology and/or advanced machine learning and data analytics solutions</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_61a3b3e1-03d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic, the Search AI Company","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7797654","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$113,300-$179,200 USD","x-skills-required":["Enterprise software sales","High-growth companies","Fortune 500 and large enterprise accounts","C-suite executives","Search technology","Advanced machine learning","Data analytics solutions"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:01.713Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise software sales, High-growth companies, Fortune 500 and large enterprise accounts, C-suite executives, Search technology, Advanced machine learning, Data analytics solutions","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":113300,"maxValue":179200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_88c39a28-f4b"},"title":"Staff Software Engineer - AI SDK","description":"<p>We&#39;re looking for a Staff Software Engineer to join our AI SDK team. As a member of this team, you will be creating building blocks to support the expanding ecosystem of AI applications. Temporal provides durable execution, the systems foundation used for reliable AI at leaders such as OpenAI, Lovable, Replit, and many others.</p>\n<p>The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.</p>\n<p>As a Staff Software Engineer, you will:</p>\n<ul>\n<li>Work as a Software Engineer.</li>\n<li>Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.</li>\n<li>Develop a deep understanding of AI application development techniques, including emerging approaches and architectures.</li>\n<li>Work with multiple programming languages, primarily Python and TypeScript.</li>\n<li>Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations.</li>\n<li>Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.</li>\n<li>Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.</li>\n<li>Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs.</li>\n<li>Write public technical documentation describing Temporal concepts and APIs.</li>\n<li>Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed.</li>\n<li>Travel to meet your coworkers for a week once or twice a year.</li>\n<li>Attend the occasional developer conference to talk about how great Temporal is (optional).</li>\n</ul>\n<p>You won&#39;t:</p>\n<ul>\n<li>Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.</li>\n<li>Work in an office (unless you want to, but you&#39;d be by yourself). Temporal is a fully-remote company.</li>\n<li>Commit code that&#39;s poorly-tested or works &#39;most of the time&#39;. Temporal aspires to be &#39;Reliable as Gravity&#39;, and we expect our code to be the same.</li>\n<li>Work behind closed doors. The SDKs are open source,that means PRs and comments are open to the public, too.</li>\n<li>Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.</li>\n<li>Wake up to pager alerts. We&#39;re extremely active in supporting our customers and the community, but we don&#39;t do 24/7 on-call.</li>\n</ul>\n<p>You&#39;ll bring:</p>\n<ul>\n<li>Experience and passion for harnessing generative AI, particularly for agents and coding.</li>\n<li>A deep understanding of how to use AI to increase quality, not only to increase quantity.</li>\n<li>A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.</li>\n<li>A track record of open source software contributions, including contributions to 3rd party libraries.</li>\n<li>Fluency in multiple programming languages, and an affinity for learning new ones.</li>\n<li>Deep experience with concurrent programming,you should know how to use mutexes, atomics, and other concurrency primitives safely.</li>\n<li>Experience designing APIs and writing documentation for publicly-available libraries or modules.</li>\n<li>Strong technical communication skills,written and verbal,in English.</li>\n<li>BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Familiarity with Temporal&#39;s programming model (e.g. you&#39;ve written an app on Temporal).</li>\n<li>Expedite building agents or other AI applications</li>\n<li>Background in machine learning, model training, data science, or machine learning systems.</li>\n<li>Experience contributing to the architecture and design of large-scale distributed systems.</li>\n<li>Graduate degree in Computer Science.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_88c39a28-f4b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Temporal","sameAs":"https://github.com/temporalio","logo":"https://logos.yubhub.co/github.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/temporaltechnologies/jobs/4853421007","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$224,000 - $302,400","x-skills-required":["Generative AI","Concurrent programming","API design","Documentation writing","Open source software contributions","Python","TypeScript","Machine learning","Data science"],"x-skills-preferred":["Temporal's programming model","Agent building","Machine learning systems","Distributed system design"],"datePosted":"2026-04-18T15:57:00.478Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States - Remote Opportunity"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Concurrent programming, API design, Documentation writing, Open source software contributions, Python, TypeScript, Machine learning, Data science, Temporal's programming model, Agent building, Machine learning systems, Distributed system design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":224000,"maxValue":302400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_72d14986-43f"},"title":"Manager of Forward Deployed Engineering, Applied AI","description":"<p>Job Title: Manager of Forward Deployed Engineering, Applied AI</p>\n<p>About the Role: The Claude Agentic Solutions team is Anthropic&#39;s forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.</p>\n<p>You will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team&#39;s vertical expertise, and ensure every engagement produces outcomes worth repeating.</p>\n<p>Responsibilities:</p>\n<p>Tech Leadership</p>\n<ul>\n<li>Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.</li>\n<li>Provide active delivery oversight , review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.</li>\n<li>Develop your team&#39;s vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.</li>\n<li>Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.</li>\n<li>Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.</li>\n<li>Run operating cadences , monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements , while participating in or running client steering committees and unblocking delivery when at risk.</li>\n</ul>\n<p>Use Case Library &amp; Reusable Patterns</p>\n<ul>\n<li>Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.</li>\n<li>Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.</li>\n<li>Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.</li>\n<li>Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.</li>\n</ul>\n<p>Commercial Leadership</p>\n<ul>\n<li>Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.</li>\n<li>Own the qualified pipeline for your vertical , working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.</li>\n<li>Define how Anthropic goes to market with the Solutions offering in your vertical , including engagement structures, and partnership dynamics.</li>\n<li>Represent your vertical internally , bring the voice of your segment into product, and go-to-market discussions at the leadership level.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services , with at least 3 years in a senior leadership capacity owning commercial outcomes.</li>\n<li>Comfort operating in ambiguity and building processes where none exists , you&#39;ve worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.</li>\n<li>Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.</li>\n<li>A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.</li>\n<li>Demonstrated ability to carry pipeline and close complex enterprise deals , you understand procurement, know how to navigate large organizations, and can move opportunities forward.</li>\n<li>Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic , without being the one writing the code.</li>\n<li>Experience navigating regulated industry environments.</li>\n<li>Executive presence and communication skills: you can present to a board or run a difficult conversation.</li>\n</ul>\n<p>Annual Compensation Range:</p>\n<p>£255,000-£325,000 GBP</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_72d14986-43f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5183983008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£255,000-£325,000 GBP","x-skills-required":["Enterprise AI/ML delivery","Management consulting","Enterprise tech professional services","Technical leadership","Team management","Client relationship management","Business development","Sales","Marketing","Product management","Research and development","Data analysis","Problem-solving","Communication","Leadership"],"x-skills-preferred":["Cloud computing","Artificial intelligence","Machine learning","Statistical modeling","Data visualization","Business process improvement","Change management","Project management","Agile methodologies","Scrum","Kanban"],"datePosted":"2026-04-18T15:57:00.204Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Enterprise AI/ML delivery, Management consulting, Enterprise tech professional services, Technical leadership, Team management, Client relationship management, Business development, Sales, Marketing, Product management, Research and development, Data analysis, Problem-solving, Communication, Leadership, Cloud computing, Artificial intelligence, Machine learning, Statistical modeling, Data visualization, Business process improvement, Change management, Project management, Agile methodologies, Scrum, Kanban","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":325000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_35458586-a42"},"title":"Enterprise Architect, Finance & Legal Systems","description":"<p>We are seeking an experienced Enterprise Architect to join our Technology, Data and Intelligence team. As an Enterprise Architect, you will be responsible for defining and delivering the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence.</p>\n<p>Key responsibilities will include:</p>\n<ul>\n<li>Defining the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives.</li>\n<li>Leading the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.</li>\n<li>Developing and maintaining a multi-year roadmap for modernization across ERP, FP&amp;A, Legal, and Sales Compensation systems.</li>\n<li>Ensuring systems are designed with identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.</li>\n</ul>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>15+ years of software engineering experience, including significant time as an Architect or Principal in ERP Systems (Oracle/Netsuite/SAP), FP&amp;A Systems (Anaplan) and/or CLM systems (Aptus/Conga/Ironclad).</li>\n<li>Excellent storytelling and communication skills,comfortable presenting to both technical and executive stakeholders.</li>\n<li>Multiple ERP (Oracle or Netsuite) full cycle implementation experience.</li>\n<li>Deep understanding of the Finance business process areas – Order to Cash, Record to Report, Source to Pay, Plan to Report (FP&amp;A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, Contract Life Cycle Mgmt within Legal Ops.</li>\n<li>Demonstrated hands-on experience architecting functional and technical solutions within major business applications, with specific expertise in NetSuite (or Oracle), Aptus/Conga (or IronClad), Anaplan, Coupa, Scout, Tax engines such as Avalara, Vertex or OneSource – including understanding their data models and APIs in context of solution development and integrations.</li>\n<li>Architected and delivered AI Agents using leading LLMs Gemini, OpenAI or Claude.</li>\n<li>Experience with managing a Software and/or Vendor selection keeping in view the end state architecture of the enterprise.</li>\n<li>Proficient understanding of middlewares such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.</li>\n<li>Familiar with code, configuration, and system performance standards/reviews to ensure quality, scalability, and compliance with enterprise standards.</li>\n<li>Proficiency with AWS, Azure, or GCP, with knowledge of data lakes/warehouses (Snowflake, Redshift, BigQuery) for SaaS revenue and compliance analytics.</li>\n<li>Identity &amp; Security: knowledge of SSO, OAuth, SAML, SCIM, and Zero Trust principles, with hands-on integration experience in Okta or similar IAM platforms.</li>\n</ul>\n<p>In addition to the above skills and experience, the ideal candidate will be passionate about innovation, AI adoption, and continuous improvement aligned with Okta’s mission to build secure, intelligent, and connected business systems.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_35458586-a42","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Okta","sameAs":"https://www.okta.com/","logo":"https://logos.yubhub.co/okta.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/okta/jobs/7442186","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 - $250,000 per year","x-skills-required":["Enterprise Architecture","Cloud Computing","Identity and Access Management","Security","Data Analytics","Machine Learning","Artificial Intelligence","Software Development","DevOps","Agile Methodologies"],"x-skills-preferred":["AWS","Azure","GCP","Snowflake","Redshift","BigQuery","MuleSoft","Workato","Boomi","Informatica"],"datePosted":"2026-04-18T15:56:59.822Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Enterprise Architecture, Cloud Computing, Identity and Access Management, Security, Data Analytics, Machine Learning, Artificial Intelligence, Software Development, DevOps, Agile Methodologies, AWS, Azure, GCP, Snowflake, Redshift, BigQuery, MuleSoft, Workato, Boomi, Informatica","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3bde1f2-604"},"title":"Product Support Manager (Dublin)","description":"<p>We are hiring a Product Support Manager in Dublin to manage a team of Product Support Specialists and focus on enhancing our Enterprise Support offering.</p>\n<p>In this role, you&#39;ll be responsible for building and managing a happy and high-performing Specialist team that is at the front lines of safely delivering AI to the world. As part of a global Support organization, you&#39;ll collaborate closely with peers in other regions to ensure users of all types have a great experience with Anthropic&#39;s products.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Hire, lead, and develop a team of happy, high-performing Product Support Specialists</li>\n</ul>\n<ul>\n<li>Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development goals and growth</li>\n</ul>\n<ul>\n<li>Monitor team performance and course correct both in real-time and strategically as needed</li>\n</ul>\n<ul>\n<li>Manage day to day team operations, including proactive capacity management and ad hoc unblocking of your Specialists as they action their daily work</li>\n</ul>\n<ul>\n<li>Partner with peer leaders in other regions to ensure consistent global support delivery in routine casework as well as on-call or high-urgency responsibilities</li>\n</ul>\n<ul>\n<li>Work closely with go-to-market (GTM) stakeholders to scope, execute, and iterate upon our offerings for our most strategic customers; interact with these internal users daily</li>\n</ul>\n<ul>\n<li>Drive large-scale initiatives that raise the bar for our organization, leveraging data to make decisions and with a keen understanding of broader business goals</li>\n</ul>\n<ul>\n<li>Continuously strive for exceptional user experiences, with a focus on high-touch Enterprise Support</li>\n</ul>\n<ul>\n<li>Partner with cross-functional stakeholders across the organization to build efficiencies and improve user experience</li>\n</ul>\n<ul>\n<li>Communicate clearly and effectively with your team, stakeholders, and external customers</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 6+ years of product support experience and 3+ years in a people management role</li>\n</ul>\n<ul>\n<li>Have been part of a B2B Enterprise or Strategic Support team (as a bonus, you also understand the needs of Consumer, scaled support users)</li>\n</ul>\n<ul>\n<li>Thrive in a fast-paced, ever-changing environment, and have demonstrated success in bringing your team along during periods of rapid growth</li>\n</ul>\n<ul>\n<li>Successfully operate in ambiguity, practicing good judgment and awareness of broader priorities in order to make decisions and get things done</li>\n</ul>\n<ul>\n<li>Care deeply about continuous improvement and elevating ambitions in the name of user experience</li>\n</ul>\n<ul>\n<li>Enjoy building trust and collaborating closely with cross-functional partners</li>\n</ul>\n<ul>\n<li>Can capably navigate tough conversations, empathetically driving solutions and steps forward</li>\n</ul>\n<ul>\n<li>Value regularly seeking, providing, and incorporating feedback when it comes to the way you and your team operate</li>\n</ul>\n<ul>\n<li>Are interested in developing deep product expertise in order to comprehensively support your team and knowledgeably role model user first behaviors</li>\n</ul>\n<ul>\n<li>Prefer to use data to make decisions or advocate for users, and know your way around basic to intermediate SQL queries</li>\n</ul>\n<ul>\n<li>Consider yourself at least somewhat knowledgeable with APIs and capable of confidently understanding technical documentation in order to help debug errors</li>\n</ul>\n<ul>\n<li>Are comfortable working with a globally distributed team and building strong remote and in-office relationships</li>\n</ul>\n<ul>\n<li>Are excited about Anthropic&#39;s products and already familiar with some of the ways AI can have a positive impact on your work</li>\n</ul>\n<p>The annual compensation range for this role is €125,000-€145,000 EUR.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f3bde1f2-604","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5189011008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€125,000-€145,000 EUR","x-skills-required":["product support","team management","coaching","feedback","data analysis","SQL","APIs","technical documentation"],"x-skills-preferred":["AI","machine learning","cloud computing","collaboration tools"],"datePosted":"2026-04-18T15:56:57.876Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"product support, team management, coaching, feedback, data analysis, SQL, APIs, technical documentation, AI, machine learning, cloud computing, collaboration tools","baseSalary":{"@type":"MonetaryAmount","currency":"EUR","value":{"@type":"QuantitativeValue","minValue":125000,"maxValue":145000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15bab201-11c"},"title":"Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI","description":"<p>We are seeking a Machine Learning Research Engineer to join our Enterprise ML Research Lab. As a key member of our team, you will work on cutting-edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting-edge framework that automatically hill-climbs agent-building from an eval set.</p>\n<p>You will:</p>\n<ul>\n<li>Build synthetic data pipelines to generate enterprise environments to use for RL post-training</li>\n<li>Create agents to convert traces from production into actionable insights to use to improve agents</li>\n<li>Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms</li>\n<li>Train state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>3+ years of building with LLMs in a production environment</li>\n<li>Clear experiences with constructing high-quality data to use to improve an LLM/Agent</li>\n<li>Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years</li>\n<li>PhD or Masters in Computer Science or a related field</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_15bab201-11c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4625345005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["Machine Learning","Research","Synthetic Environments","Agent Building","Post-Training Algorithms"],"x-skills-preferred":["LLMs","Data Construction","Publications in Top Conferences"],"datePosted":"2026-04-18T15:56:57.304Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Research, Synthetic Environments, Agent Building, Post-Training Algorithms, LLMs, Data Construction, Publications in Top Conferences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189600,"maxValue":237000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ccfb615-468"},"title":"Senior Machine Learning Engineer, Public Sector","description":"<p>We are seeking a Senior Machine Learning Engineer to join our Public Sector team. As a Senior Machine Learning Engineer, you will leverage techniques in generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale&#39;s products and customer experience in production environments.</p>\n<p>Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics</li>\n<li>Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines</li>\n<li>Working with massive datasets to develop both generic models as well as fine-tune models for specific products</li>\n<li>Building scalable machine learning infrastructure to automate and optimize our ML services</li>\n<li>Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations</li>\n</ul>\n<p>Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.</p>\n<p>Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1ccfb615-468","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4281519005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,300-$300,300 USD","x-skills-required":["computer vision","deep learning","deep reinforcement learning","natural language processing","algorithms","data structures","object-oriented programming","Python","TensorFlow","PyTorch"],"x-skills-preferred":["graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization","experience working with cloud platforms","familiarity with ML evaluation frameworks and agentic model design"],"datePosted":"2026-04-18T15:56:56.828Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer vision, deep learning, deep reinforcement learning, natural language processing, algorithms, data structures, object-oriented programming, Python, TensorFlow, PyTorch, graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, familiarity with ML evaluation frameworks and agentic model design","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216300,"maxValue":300300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f2c30a6a-d61"},"title":"Senior Product Manager, Client Engagement","description":"<p>We&#39;re looking for a Senior Product Manager to join our Client Engagement team. As a key member of our product organization, you&#39;ll help shape the tools therapists rely on to deliver care, measure progress, and build trusted relationships with their patients. Your goal will be to reduce administrative burden, support clinical best practices, and create a seamless care journey for patients , from scheduling and sessions to assessments and follow-up.</p>\n<p>You&#39;ll work closely with engineering, design, data, clinical operations, and compliance to ship high-quality, high-impact product experiences. You&#39;ll stay deeply connected to providers&#39; and patients&#39; day-to-day workflows through research, feedback, and data , and use those insights to inform priorities and tradeoffs.</p>\n<p>Some of the projects you&#39;ll tackle include integrating AI-powered note-taking into telehealth workflows to reduce documentation burden and improve session quality, exploring agentic AI solutions to streamline provider scheduling and optimize operational efficiency, and leveraging AI to surface the full patient journey, enabling providers to build informed treatment plans, prepare for sessions, and deliver more coordinated care.</p>\n<p>If you have 5+ years of product management experience, are comfortable operating end-to-end, and are data-informed, you&#39;ll thrive in this role. You&#39;ll bring strong product judgment and UX sensibility, and care deeply about building experiences users trust and enjoy.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f2c30a6a-d61","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://headway.co/","logo":"https://logos.yubhub.co/headway.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5717918004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$185,000 - $225,000","x-skills-required":["product management","user experience","data analysis","agile methodologies","cloud computing"],"x-skills-preferred":["healthcare technology","telehealth","AI and machine learning","clinical operations","compliance"],"datePosted":"2026-04-18T15:56:55.468Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Healthcare Technology","skills":"product management, user experience, data analysis, agile methodologies, cloud computing, healthcare technology, telehealth, AI and machine learning, clinical operations, compliance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":185000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac45e205-e7d"},"title":"Engineering Manager, Inference Routing and Performance","description":"<p><strong>About the role\\nEvery request that hits Claude , from claude.ai, the API, our cloud partners, or internal research , passes through a routing decision. Not a generic load balancer round-robin, but a decision that accounts for what&#39;s already cached where, which accelerator the request runs best on, and what else is in flight across the fleet.\\n\\nGet it right and you extract meaningfully more throughput from the same hardware. Get it wrong and you burn capacity, miss latency SLOs, or shed load that shouldn&#39;t have been shed.\\n\\nThe Inference Routing team owns this layer. We build the cluster-level routing and coordination plane for Anthropic&#39;s inference fleet , the system that sits between the API surface and the inference engines themselves, making fleet-wide efficiency decisions in real time.\\n\\nAs Anthropic moves from &quot;many independent inference replicas&quot; toward &quot;a single warehouse-scale computer running a coordinated program,&quot; Dystro is the coordination layer. This is a deeply technical team.\\n\\nThe engineers here design custom load-balancing algorithms, build quantitative models of system performance, debug latency spikes that cross kernel, network, and framework boundaries, and reason carefully about cache placement across thousands of accelerators.\\n\\nThey work shoulder-to-shoulder with teams that write kernels and ML framework internals.\\n\\nThe EM for this team doesn&#39;t need to write kernels , but they do need the systems depth to make architectural calls, evaluate deeply technical candidates, and spot when a proposed optimization will have second-order effects on the fleet.\\n\\nYou&#39;ll inherit a strong team of distributed-systems engineers, and you&#39;ll be accountable for two things that pull in different directions: shipping system-level performance improvements that measurably increase fleet throughput and efficiency, and running the team operationally so that deploys are safe, incidents are rare, and the teams who depend on Dystro can plan around you with confidence.\\n\\nThe job is holding both.\\n\\n## Representative work:\\nThings the Inference Routing EM actually spends time on:\\n- Deciding whether a proposed routing algorithm change is worth the deploy risk, given the modeled throughput gain and the blast radius if it regresses\\n- Sequencing a quarter where KV-cache offload, a new coordination protocol, and two model launches all compete for the same engineers\\n- Working through a persistent tail-latency regression with the team , walking down from fleet-level metrics to per-replica behavior to a root cause in the networking stack\\n- Building the case (with numbers) to peer teams for why a cross-team protocol change unlocks the next efficiency win\\n- Running the post-incident review after a cache-eviction bug caused a capacity event, and turning it into process changes that stick\\n- Interviewing a candidate who has built schedulers at supercomputing scale, and deciding whether they&#39;d be additive to a team that already goes deep\\n\\n## What you&#39;ll do:\\nDrive system-level performance\\n- Own the technical roadmap for cluster-level inference efficiency , routing decisions, cache placement and eviction, cross-replica coordination, and the protocols that keep routing and inference engines in sync\\n- Partner with the inference engine, kernels, and performance teams to identify fleet-level throughput and latency wins, then turn those into shipped improvements with measurable results\\n- Build the team&#39;s habit of quantitative performance modeling: claim a win only when you can measure it, and know before you ship what the expected effect is\\n\\nDeliver reliably and operate cleanly\\n- Set technical strategy for how routing evolves across heterogeneous hardware (GPUs, TPUs, Trainium) and across all our serving surfaces\\n- Run the team&#39;s operational backbone , on-call rotation, incident response, postmortem review, deploy safety , so the team can ship aggressively without the system becoming fragile\\n- Create clarity at a seam: Inference Routing sits between the API surface, the inference engines, and the cloud deployment teams. You&#39;ll make sure commitments are realistic, dependencies are understood, and nobody is surprised\\n\\nBuild and grow the team\\n- Develop and retain a strong existing team, and hire against the bar described above: people who can go to the OS and framework level when the problem demands it, and who care about production reliability\\n- Coach engineers through a roadmap where priorities shift with model launches, new hardware, and scaling demands. We pair a lot here , you&#39;ll help make that collaboration pattern productive\\n- Pick up slack when it matters. This is a small team in a critical path; sometimes the EM is the one unblocking a stuck deploy or synthesizing a design debate\\n\\n## You may be a good fit if you:\\n- Have 5+ years of engineering management experience, ideally with at least part of that leading teams on critical-path production infrastructure at scale\\n- Have a deep systems background , load balancing, scheduling, cache-coherent distributed state, high-performance networking, or similar. You need enough depth to make architectural calls about routing and efficiency, and to evaluate candidates who go to the kernel and framework level\\n- Have shipped performance improvements in large-scale systems and can explain, with numbers, what the impact was\\n- Have run production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline\\n- Are results-oriented with a bias toward impact, and comfortable working in a space where throughput, latency, stability, and feature velocity all pull in different directions\\n- Build strong relationships across team boundaries , this is a seam role, and much of the job is making sure other teams can rely on yours\\n- Are curious about machine learning systems. You don&#39;t need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems\\n\\nStrong candidates may also have:\\n- Experience with LLM inference serving , KV caching, continuous batching, request scheduling, prefill/decode disaggregation\\n- Background in cluster schedulers, load balancers, service meshes, or coordination planes at scale\\n- Familiarity with heterogeneous accelerator fleets (GPU/TPU/Trainium) and how hardware differences affect workload placement\\n- Experience with GPU/accelerator programming, ML framework internals, or OS-level performance debugging , enough to follow and evaluate the technical work, not necessarily to do it daily\\n- Led teams at supercomputing or hyperscaler infrastructure scale\\n- Led teams through rapid-growth periods where hiring and onboarding competed with roadmap delivery\\n\\nThe annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\nAnnual Salary: $405,000-$485,000 USD</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ac45e205-e7d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5155391008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000-$485,000 USD","x-skills-required":["engineering management","distributed systems","load balancing","scheduling","cache-coherent distributed state","high-performance networking","machine learning systems"],"x-skills-preferred":["LLM inference serving","cluster schedulers","load balancers","service meshes","coordination planes","heterogeneous accelerator fleets","GPU/TPU/Trainium","GPU/accelerator programming","ML framework internals","OS-level performance debugging"],"datePosted":"2026-04-18T15:56:48.587Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"engineering management, distributed systems, load balancing, scheduling, cache-coherent distributed state, high-performance networking, machine learning systems, LLM inference serving, cluster schedulers, load balancers, service meshes, coordination planes, heterogeneous accelerator fleets, GPU/TPU/Trainium, GPU/accelerator programming, ML framework internals, OS-level performance debugging","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac82fe49-5bc"},"title":"Technical Deployment, Applied AI","description":"<p>As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries.</p>\n<p>This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.</p>\n<p>You&#39;ll own engagements end-to-end, from SOW through production deployment. You&#39;ll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.</li>\n</ul>\n<ul>\n<li>Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.</li>\n</ul>\n<ul>\n<li>Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.</li>\n</ul>\n<ul>\n<li>Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.</li>\n</ul>\n<ul>\n<li>Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic&#39;s technical credibility with senior business and engineering leaders.</li>\n</ul>\n<ul>\n<li>Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.</li>\n</ul>\n<ul>\n<li>Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.</li>\n</ul>\n<ul>\n<li>Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.</li>\n</ul>\n<ul>\n<li>Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.</li>\n</ul>\n<ul>\n<li>Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.</li>\n</ul>\n<ul>\n<li>Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).</li>\n</ul>\n<p>You May Be a Good Fit If You:</p>\n<ul>\n<li>Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.</li>\n</ul>\n<ul>\n<li>Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.</li>\n</ul>\n<ul>\n<li>Have experience in a specialised vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).</li>\n</ul>\n<ul>\n<li>Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won&#39;t write production code, but you will own the technical direction of engagements alongside FDEs.</li>\n</ul>\n<ul>\n<li>Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making , ideally across multiple workstreams in regulated industries.</li>\n</ul>\n<ul>\n<li>Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.</li>\n</ul>\n<ul>\n<li>Thrive in ambiguity and bring structure where none exists.</li>\n</ul>\n<ul>\n<li>Have a builder&#39;s mindset , you&#39;re here to create a function, not join one.</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>For sales roles, the range provided is the role&#39;s On Target Earnings (&#39;OTE&#39;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $200,000-$345,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ac82fe49-5bc","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5017903008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$200,000-$345,000 USD","x-skills-required":["AI","Machine Learning","Agentic Solutions","Enterprise Customers","Regulated Industries","Technical Playbooks","Solution Architecture","Customer Relationship Management","Value Measurement","ROI","Reusable Delivery Assets","Solution Patterns","Evaluation Frameworks","Enterprise and Regulatory Complexity","Security Reviews","Legal Approvals","Procurement Processes","Compliance Requirements","Organisational Dynamics","Scope and Change Management","Evolving Requirements","Contract Modifications","Risk Identification","Escalation","Delivery Operations","Sprint Ceremonies","Milestone Reviews","Progress Reporting","Travel to Customer Sites","Relationship Building","Delivery Acceleration"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:48.402Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin, TX; Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Agentic Solutions, Enterprise Customers, Regulated Industries, Technical Playbooks, Solution Architecture, Customer Relationship Management, Value Measurement, ROI, Reusable Delivery Assets, Solution Patterns, Evaluation Frameworks, Enterprise and Regulatory Complexity, Security Reviews, Legal Approvals, Procurement Processes, Compliance Requirements, Organisational Dynamics, Scope and Change Management, Evolving Requirements, Contract Modifications, Risk Identification, Escalation, Delivery Operations, Sprint Ceremonies, Milestone Reviews, Progress Reporting, Travel to Customer Sites, Relationship Building, Delivery Acceleration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":345000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c274c48e-f39"},"title":"AI Deployment Strategist Intern","description":"<p>As an AI Deployment Strategist Intern, you will work alongside our DSG team, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries.</p>\n<p>You will support deployment success and contribute foundational industry knowledge to our team, helping turn bold ideas into real impact and ensuring engagements run smoothly. In this role, you will work directly with data, engineering, business, and AI leaders at some of the world&#39;s top Enterprises.</p>\n<p>Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery.</p>\n<p>The outcome of a DSG Intern&#39;s time at Scale should include tangible contributions to live enterprise accounts and the creation of structured intelligence artifacts that benefit the Enterprise Business Unit.</p>\n<p>Interns will also participate in weekly sessions with DSG leaders, gain exposure to cross-functional teams across Engineering, Product, and GTM, and receive structured feedback throughout the program.</p>\n<p>This is a fast-moving, high-impact internship that provides exposure to customer strategy, operations, product strategy and execution. You will work closely with DSGs who serve as the voice of the customer and support the execution of customer projects.</p>\n<p>During the internship, you will contribute to:</p>\n<p>Client Leadership &amp; Growth: Support DSGs in managing relationships with enterprise customers and help ensure engagements run smoothly and deliver value Flawless Delivery &amp; Execution: Support delivery across workstreams by helping track timelines, deployment milestones, and operational processes Strategic Account Expansion: Conduct research and analysis to help identify new opportunities within verticals and existing accounts that may drive business impact Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations teams while supporting operational improvements and delivery processes Strategic Feedback Loop: Prepare structured insights and executive-ready materials that help inform product strategy and enterprise delivery approaches Mastering Complexity &amp; Ambiguity: Help bring structure and clarity to complex projects through research, analysis, and structured deliverables Industry &amp; Vertical Intelligence: Conduct outside-in research to develop structured insights on enterprise industries and AI opportunities, producing briefs that support account strategy and go-to-market efforts</p>\n<p>Ideally, you&#39;d have:</p>\n<p>Currently pursuing an MBA or graduate degree with prior experience in consulting (MBB), banking, private equity, technology, or a related analytical field. Prior 4+ years of work experience in high-growth, high-ambiguity environments A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field) Exposure to GenAI solutions via your current role or personal projects A proven track record in building and expanding client relationships Ability to understand core AI / ML concepts and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communication skills A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results</p>\n<p>Nice to have:</p>\n<p>Exposure to enterprise AI or data infrastructure products Deeper industry knowledge in healthcare, consumer, financial services</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c274c48e-f39","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4677519005","x-work-arrangement":null,"x-experience-level":"internship","x-job-type":"internship","x-salary-range":"$15,000 per month","x-skills-required":["GenAI solutions","Machine Learning","Engineering","Finance","Data analysis","Research","Structured insights","Executive-ready materials","Product strategy","Enterprise delivery"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:47.164Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"GenAI solutions, Machine Learning, Engineering, Finance, Data analysis, Research, Structured insights, Executive-ready materials, Product strategy, Enterprise delivery","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":15000,"maxValue":15000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4c483d6-b25"},"title":"Research Operations, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.</p>\n<p>Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn&#39;t just talent: it&#39;s the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.</p>\n<p>This role sits at the intersection of research operations, technical program management, and product strategy. You&#39;ll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels</li>\n<li>Run research partnerships with external partners, from scoping through delivery</li>\n<li>Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned</li>\n<li>Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.</li>\n<li>Support recruiting efforts.</li>\n<li>Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials</li>\n<li>Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect</li>\n<li>Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in research operations, technical program management, or a related role in a fast-moving technical environment</li>\n<li>Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)</li>\n<li>Have a technical background, with experience in software development, machine learning, or biology R&amp;D.</li>\n<li>Are comfortable working directly with research scientists and engineers,you ask good questions, you don&#39;t need things explained twice, and you know when to escalate vs. when to handle it yourself</li>\n<li>Have a track record of building systems and processes from scratch rather than inheriting them</li>\n<li>Bring strong written communication skills and can represent the team accurately in external-facing materials</li>\n<li>Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality</li>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n<li>Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains</li>\n<li>Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall</li>\n<li>Experience contributing to product development or product strategy, not just operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e4c483d6-b25","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5188237008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$210,000-$310,000 USD","x-skills-required":["research operations","technical program management","software development","machine learning","biology R&D","contractor management","external partner management","written communication","project coordination","team logistics"],"x-skills-preferred":["expert contractor network management","ML research workflows","product development","product strategy"],"datePosted":"2026-04-18T15:56:46.902Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"research operations, technical program management, software development, machine learning, biology R&D, contractor management, external partner management, written communication, project coordination, team logistics, expert contractor network management, ML research workflows, product development, product strategy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":310000,"unitText":"YEAR"}}}]}