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At bunq, we&#39;re not just building a banking app , we&#39;re redefining what financial freedom means, and making sure people across Europe (and beyond) truly experience it.</p>\n<p>As Senior Director of User Engagement, you own the entire user journey from first touch to loyal, monthly active user. You&#39;ll lead the teams responsible for activation, onboarding, retention, and CRM lifecycle management , turning awareness into long-term usage at scale.</p>\n<p>This role is about ownership, impact, and execution. 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This is a high-impact, high-visibility role at the center of capital strategy, corporate tax, M&amp;A, investor relations, and strategic project coordination.</p>\n<p>You will work directly with the CFO and founders to shape Holidu&#39;s financial architecture and capital allocation, ensuring the company is optimally structured to support growth, operational efficiency, and future financing initiatives.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Capital structure and treasury: Optimize capital structure, cash planning and debt financing (including working capital facilities) to drive long-term financial sustainability</li>\n<li>M&amp;A: Lead financial and tax due diligence and support post-acquisition financial integrations</li>\n<li>Corporate tax strategy: Oversee corporate tax planning together with external advisors; oversee transfer pricing policies and intercompany structures (including VAT treatment)</li>\n<li>Investor and board reporting: Support investor/board materials preparation and fundraising</li>\n<li>Drive strategic initiatives: Partner with management on high-impact strategic projects including M&amp;A (post-merger financial integration, tax structuring), strategic partnerships, business model innovation, and international expansion (legal entity setup, local compliance, and contracting)</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>8+ years of experience in corporate finance, investment banking, or VC/PE, and ideally within high-growth companies</li>\n<li>Strong commercial acumen applied to financial decision-making</li>\n<li>Exceptional financial modeling, valuation, and scenario analysis skills, with the ability to influence management and cross-functional stakeholders through clear, data-driven insights</li>\n<li>Experience coordinating cross-functional projects including significant external advisor involvement</li>\n<li>Business proficiency in English (written and spoken)</li>\n<li>Experience supporting or leading fundraising and/or M&amp;A transactions is valued</li>\n<li>Experience in procurement is valued</li>\n<li>Experience in a tech scale-up or SaaS business model is valued</li>\n</ul>\n<p>Our adventure includes:</p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. 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As we move towards ambitious objectives, we are looking for individuals who focus on innovation to maintain a sustainable risk position against an evolving threat landscape, who recognise that adversaries may include organised crime syndicates or state-sponsored attackers, and who understand attackers&#39; motivations and ways of working.</p>\n<p>In this role, you will operate within AstraZeneca&#39;s global cybersecurity organisation, collaborating with and influencing multiple functions across China, India, Mexico, Sweden, the US and the UK. Ready to help defend a global enterprise where technology directly supports life-changing medicines?</p>\n<p>Accountabilities</p>\n<p>In this role, you will engineer cybersecurity solutions across cloud, on-premises and third-party collaboration environments, with a predominant focus on cloud and data. You will collaborate with other teams to perform, assess and evolve IT processes that intersect our cybersecurity priorities, ensuring security is embedded into how work gets done. You will map governance and compliance frameworks and their controls to technical implementation, shifting hardening processes as far left as possible in the lifecycle. You will leverage deep understanding of threats, weaknesses and vulnerabilities around cloud and data to help other areas respond promptly and effectively to contain breaches or address areas of concern. You will also contribute to continuous improvement by analysing incidents, refining standards and influencing architectural decisions that balance risk, performance and usability.</p>\n<p>How will you use your expertise to raise the bar?</p>\n<p>Essential Skills/Experience</p>\n<ul>\n<li>Minimum 10 years of experience</li>\n<li>Bachelor&#39;s Degree</li>\n<li>Must have broad enterprise IT experience with significant cloud and data exposure.</li>\n<li>Must have in-depth understanding of security and networking protocols, cryptography, and modern authentication and authorization protocols.</li>\n<li>Must have experience designing, deploying, and operating secure networks, systems, application and security architectures at scale.</li>\n<li>Must have experience configuring and managing cloud security services in an AWS, Azure and GCP at organisation at scale.</li>\n<li>Must have experience researching, designing, and implementing security policies, standards, and procedures, including those in cybersecurity frameworks such as MITRE ATT&amp;CK, NIST CSF, NIST SP.800- 53, and NIST SP.800-61, as well as implementing cloud security reference architectures.</li>\n<li>Should have experience working in a software development and systems administration organisation, implementing DevSecOps and process automation.</li>\n<li>Should have the ability to conduct post-mortem on security incidents and take post-mortem data to drive uplift in policies, procedures, standards.</li>\n<li>Familiarity with CSPM, CNAPP, and Cloud EDR platforms</li>\n<li>Expertise with Microsoft Defender, Sentinel and Splunk</li>\n</ul>\n<p>Desirable Skills/Experience</p>\n<ul>\n<li>Identify and articulate architectural trade-offs.</li>\n<li>Embed process, governance and security into workflow and technology.</li>\n<li>Design and implement software tools and services using modern programming languages.</li>\n<li>Manage and lead projects delivering prioritised initiatives at challenging deadlines.</li>\n<li>Exert positive influence in a matrixed organisation to drive technology evolution.</li>\n<li>Drive efforts to achieve process and technology improvement at scale.</li>\n</ul>\n<p>The annual base pay for this position ranges from 136,044.00 - 204,066.00 USD Annual (80% - 120%). Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualised factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive programme (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).</p>\n<p>Benefits offered included a qualified retirement programme [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an &#39;at-will position&#39; and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.</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&#39;s why we work, on average, a minimum of three days per week from the office. But that doesn&#39;t mean we&#39;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>AstraZeneca offers an environment where cybersecurity work has real-world impact on patients&#39; lives, not just systems and data. Here, technology experts collaborate with scientists and business teams to unlock the potential of data, analytics, AI and machine learning, constantly experimenting with new approaches while keeping critical platforms secure. There is strong investment in digital capabilities, room to explore modern tools through initiatives like hackathons, and a culture that values curiosity, coaching and continuous learning so that every day brings opportunities to grow skills and shape both personal development and the future of healthcare technology.</p>\n<p>If this role matches your skills and ambitions, apply now and help protect the digital foundations that enable life-changing medicines!</p>\n<p>Date Posted 17-Apr-2026 Closing Date 03-May-2026</p>\n<p>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_6964b8e4-caf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cyber Security Engineering Cloud/Data","sameAs":"https://astrazeneca.eightfold.ai","logo":"https://logos.yubhub.co/astrazeneca.eightfold.ai.png"},"x-apply-url":"https://astrazeneca.eightfold.ai/careers/job/563877689899183","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Minimum 10 years of experience","Bachelor's Degree","Broad enterprise IT experience with significant cloud and data exposure","In-depth understanding of security and networking protocols, cryptography, and modern authentication and authorization protocols","Experience designing, deploying, and operating secure networks, systems, application and security architectures at scale","Experience configuring and managing cloud security services in an AWS, Azure and GCP at organisation at scale","Experience researching, designing, and implementing security policies, standards, and procedures, including those in cybersecurity frameworks such as MITRE ATT&CK, NIST CSF, NIST SP.800- 53, and NIST SP.800-61, as well as implementing cloud security reference architectures","Experience working in a software development and systems administration organisation, implementing DevSecOps and process automation","Ability to conduct post-mortem on security incidents and take post-mortem data to drive uplift in policies, procedures, standards","Familiarity with CSPM, CNAPP, and Cloud EDR platforms","Expertise with Microsoft Defender, Sentinel and Splunk"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:13:02.185Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gaithersburg, Maryland, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Minimum 10 years of experience, Bachelor's Degree, Broad enterprise IT experience with significant cloud and data exposure, In-depth understanding of security and networking protocols, cryptography, and modern authentication and authorization protocols, Experience designing, deploying, and operating secure networks, systems, application and security architectures at scale, Experience configuring and managing cloud security services in an AWS, Azure and GCP at organisation at scale, Experience researching, designing, and implementing security policies, standards, and procedures, including those in cybersecurity frameworks such as MITRE ATT&CK, NIST CSF, NIST SP.800- 53, and NIST SP.800-61, as well as implementing cloud security reference architectures, Experience working in a software development and systems administration organisation, implementing DevSecOps and process automation, Ability to conduct post-mortem on security incidents and take post-mortem data to drive uplift in policies, procedures, standards, Familiarity with CSPM, CNAPP, and Cloud EDR platforms, Expertise with Microsoft Defender, Sentinel and Splunk"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f2cb60f-80a"},"title":"Senior Genome Editing Digital Enablement","description":"<p>At Bayer, we&#39;re seeking a Senior Genome Editing Digital Enablement Scientist to join our team. As a key partner and enabler of multi-disciplinary teams, you will design large-scale data systems and analytical pipelines that power our gene editing efforts. You will develop analytical tools that connect biological and operations data to support more efficient and accurate decisions across the gene editing pipeline. Your expertise in both computational biology and genetics will be essential in driving and coordinating multi-functional teams to enable robust data connectivity and interoperability across the editing pipeline.</p>\n<p>In this role, you will lead cross-functional projects with IT, Data Engineering, Genome Editing, and other partner teams to automate decision making and connect data to accelerate development of gene-edited products. You will translate complex biological processes into scalable digital workflows that support decision making, advancement, and prioritization within the gene editing program. Your strong ability to collaborate and lead in cross-functional, multi-disciplinary teams will be crucial in influencing without authority and aligning diverse stakeholders around shared digital solutions.</p>\n<p>As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while sharing best practices with others. You will serve as a key communicator and thought partner on digital enablement strategy, clearly articulating requirements, trade-offs, and opportunities to scientific and non-scientific stakeholders.</p>\n<p>We seek an incumbent who possesses a PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or another relevant scientific field with a minimum of 6 years of relevant experience, or an MS with 10+ years of experience developing data systems and analytics pipelines that enable product delivery using genetic and computational biology datasets.</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_3f2cb60f-80a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop 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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. 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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_683a40cb-69e"},"title":"Machine Learning Research Scientist / Research Engineer, Post-Training","description":"<p>We are seeking a Research Scientist/Research Engineer to join our team. As a Research Scientist/Research Engineer, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.</li>\n<li>Design and experiment new approaches to preference optimization.</li>\n<li>Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.</li>\n<li>Publish research findings in top-tier AI conferences.</li>\n</ul>\n<p>Ideal Candidate:</p>\n<ul>\n<li>Ph.D. or Master&#39;s degree in Computer Science, Machine Learning, AI, or a related field.</li>\n<li>Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.</li>\n<li>Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals</li>\n<li>Previous experience in a customer-facing role.</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_683a40cb-69e","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/4528009005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["deep learning","reinforcement learning","large-scale model fine-tuning","post-training techniques","RLHF","preference modeling","instruction tuning"],"x-skills-preferred":["published research","customer-facing role"],"datePosted":"2026-04-18T15:59:43.190Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, reinforcement learning, large-scale model fine-tuning, post-training techniques, RLHF, preference modeling, instruction tuning, published research, customer-facing role","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d9da00f5-0b0"},"title":"Transformative AI Research Economist, Economic Research","description":"<p>As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent.\\n\\nYou will ground projections in microeconomic signals from the Anthropic Economic Index , usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement , so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity.\\n\\nOur 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.\\n\\nResponsibilities:\\n\\n<em> Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution\\n</em> Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories\\n<em> Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation\\n</em> Analyze questions of income distribution and economic governance under transformative-AI scenarios\\n<em> Contribute to the development of AI-powered research tools for economics\\n</em> Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise\\n<em> Build and maintain relationships with academic institutions, policy think tanks, and other research partners\\n</em> Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders\\n\\nYou May Be a Good Fit If You Have:\\n\\n<em> PhD in Economics, or an exceptional candidate close to completion\\n</em> Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics\\n<em> A research record that engages seriously with the possibility of transformative AI , you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against\\n</em> Relevant experience in some of:\\n\\n<em> Macroeconomic modeling and structural estimation\\n</em> Scenario-based and time-series forecasting\\n<em> Task-based approaches to technological change\\n</em> Computational methods, agent-based modeling, or large-scale simulation\\n<em> Income distribution and inequality\\n</em> Using large language models in the research workflow\\n<em> Technical skills including:\\n\\n</em> Proficiency in Python, Julia, or similar for computational economics\\n<em> Facility with AI coding agents as part of a research workflow\\n</em> Comfort learning new technical tools and frameworks\\n<em> Demonstrated ability to:\\n\\n</em> Lead research projects from conception to publication\\n<em> Ship on tight timelines and revise in public as new data arrives\\n</em> Communicate technical findings to diverse audiences\\n<em> Strong interest in ensuring AI development benefits humanity\\n\\nSome Examples of Our Recent Work:\\n\\n</em> Labor market impacts of AI: A new measure and early evidence\\n<em> Anthropic Economic Index Report: Economic Primitives\\n</em> Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption\\n<em> Estimating AI productivity gains from Claude conversations\\n</em> The Anthropic Economic Index\\n\\nAdditional Information:\\n\\nFor this role, we&#39;re looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession&#39;s usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.\\n\\nDeadline to apply: None. Applications are reviewed on a rolling basis\\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: $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_d9da00f5-0b0","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/5149802008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$405,000 USD","x-skills-required":["Python","Julia","macroeconomic modeling","structural estimation","scenario-based forecasting","time-series forecasting","task-based approaches to technological change","computational methods","agent-based modeling","large-scale simulation","income distribution","inequality","large language models"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:25.435Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Julia, macroeconomic modeling, structural estimation, scenario-based forecasting, time-series forecasting, task-based approaches to technological change, computational methods, agent-based modeling, large-scale simulation, income distribution, inequality, large language models","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_f7115379-504"},"title":"Robotics Operations Manager","description":"<p>The Robotics Operations Manager holds primary accountability for the facility&#39;s performance during their assigned shift. Managing an organization of up to 100 personnel, this role ensures the seamless integration of human capital, robotic systems, and data integrity.</p>\n<p>You will:</p>\n<ul>\n<li>Provide strategic and tactical direction to a shift organization of 100 people, including Operations Supervisors, Robotics Technicians, and Data Collection Associates.</li>\n<li>Serve as the guardian of the workplace experience, proactively identifying the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.</li>\n<li>Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.</li>\n<li>Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.</li>\n<li>Partner with the Robotics Technical team to ensure maximum equipment uptime, serving as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.</li>\n<li>Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site&#39;s daily objectives.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Experience: 6+ years in high-volume manufacturing, automated logistics, or technical operations.</li>\n<li>Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.</li>\n<li>Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.</li>\n<li>Education: Bachelor&#39;s degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; 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The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline.</p>\n<p>You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimising the platform to enable our next generation LLM training, inference and data curation.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building, profiling and optimising our training and inference framework.</li>\n<li>Collaborating with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.</li>\n<li>Researching and integrating state-of-the-art technologies to optimise our ML system.</li>\n</ul>\n<p>The ideal candidate will have:</p>\n<ul>\n<li>Passionate about system optimisation.</li>\n<li>Experience with multi-node LLM training and inference.</li>\n<li>Experience with developing large-scale distributed ML systems.</li>\n<li>Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.</li>\n<li>Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.</li>\n</ul>\n<p>Nice to haves include demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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As a key contributor, you&#39;ll own and architect large-scale data processing pipelines, build ML training and fine-tuning pipelines, and develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.</p>\n<p>In this role, you&#39;ll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You&#39;ll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.</p>\n<p>To succeed, you&#39;ll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. 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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_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 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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. 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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>Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</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_840bab06-7be","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/4534631005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["System Optimization","Multi-node LLM Training and Inference","Large-Scale Distributed ML Systems","CUDA","Pytorch","Transformers","Flash Attention"],"x-skills-preferred":["Post-Training Methods","Next Generation Use Cases for Large Language Models","Instruction Tuning","RLHF","Tool Use","Reasoning","Agents","Multimodal"],"datePosted":"2026-04-18T15:58:47.020Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"System Optimization, Multi-node LLM Training and Inference, Large-Scale Distributed ML Systems, CUDA, Pytorch, Transformers, Flash Attention, Post-Training Methods, Next Generation Use Cases for Large Language Models, Instruction Tuning, RLHF, Tool Use, Reasoning, Agents, Multimodal","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_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. 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As a key member of our engineering team, you will be responsible for developing and hardening the runtime enforcement layer for Unity Catalog, ensuring secure and consistent authorization and data access across Databricks compute, engines, and clouds.</p>\n<p>This role requires a strong technical background in building and supporting large-scale distributed systems, with a focus on security and cross-org leadership. 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In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.</p>\n<p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. 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You will be responsible for envisioning, championing, and supporting the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.</p>\n<p>Requirements:</p>\n<ul>\n<li>PhD/Master&#39;s degree in Computer Science or equivalent experience</li>\n<li>6/9+ years of ML engineering experience with ownership responsibility over large-scale software systems</li>\n<li>Background in the design and development of AI and ML systems and services</li>\n<li>Experience with LLM driven chatbot and Agentic AI products is a plus</li>\n<li>Excellent communication skills and the ability to work well within a team and with teams across the engineering, product &amp; design organizations</li>\n</ul>\n<p>Our Commitment to Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. 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It is ideal for a design leader who cares deeply about craft, is comfortable tackling technical challenges, has led teams that have shipped exceptional enterprise AI user experiences, and is motivated to develop people to do the best work of their careers.</p>\n<p>At Everlaw, our mission is to promote justice by illuminating truth. 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$440,000 USD</p>\n<p>Base salary is just one part of our total rewards package at X, 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_22bcbb50-ef4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.x.com/","logo":"https://logos.yubhub.co/x.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4803862007","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","Go","Scala","Kafka","Flink","Spark","Trino","Hadoop","distributed systems","stream processing","large-scale data platforms"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:30.705Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Rust, Go, Scala, Kafka, Flink, Spark, Trino, Hadoop, distributed systems, stream processing, large-scale data platforms","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_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_7e28478b-c37"},"title":"Research, Audio Expertise","description":"<p>We&#39;re seeking a researcher to advance the frontier of audio capabilities. 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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_c788df23-065"},"title":"Senior Staff Software Engineer - Delta","description":"<p>We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. 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engineers</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>6+ years of industry experience</li>\n<li>Experience leading large multi-quarter efforts with a demonstrated customer or business impact</li>\n<li>Experience developing large-scale distributed systems from scratch</li>\n<li>Comfortable working towards a multi-year vision with incremental deliverables</li>\n<li>Motivated by delivering customer value</li>\n<li>Familiarity with server-side web technologies is a plus</li>\n<li>Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability</li>\n<li>Experience building large-scale products</li>\n<li>Experience working on a SaaS platform or with Service-Oriented Architectures</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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listen actively and help achieve organizational goals\\n\\n\\nStrong candidates may have:\\n\\nIn-house platform or API counsel experience at a cloud/SaaS company\\n\\nExperience structuring developer terms, marketplace licensing, or enterprise data-processing agreements\\n\\nExperience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures\\n\\n\\nApplication Deadline: 4pm PT on May 4, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.\\n\\nRole-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.\\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: $265,000-$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_58cb69be-2eb","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/5191775008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$265,000-$320,000 USD","x-skills-required":["JD from an accredited law school","Active membership in at least one U.S. state bar","Relevant legal experience in API/platform, cloud-marketplace, or tech-transactions work","Working knowledge of legal frameworks relevant to developer platforms and B2B AI products","Strong technical fluency across cloud computing, APIs, and software development"],"x-skills-preferred":["AI tools to scale legal practice","Exceptional communication skills","Empathy and strong service orientation"],"datePosted":"2026-04-18T15:57:14.512Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"JD from an accredited law school, Active membership in at least one U.S. state bar, Relevant legal experience in API/platform, cloud-marketplace, or tech-transactions work, Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, Strong technical fluency across cloud computing, APIs, and software development, AI tools to scale legal practice, Exceptional communication skills, Empathy and strong service orientation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":265000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fd6d120d-6ff"},"title":"Senior Platform Software Engineer, Transport","description":"<p>About Us</p>\n<p>We&#39;re looking for a Senior Platform Software Engineer to join our Transport team, which is at the core of our evolution towards a resilient and scalable cloud future. As a member of this team, you&#39;ll design, build, and operate the foundational platform that allows our services to run in an isolated, highly available, and globally distributed fashion.</p>\n<p>As a Senior Platform Software Engineer, you&#39;ll have an outsized impact on every dbt Labs customer, tackling complex distributed systems problems while collaborating across product engineering, security, and infrastructure teams. This is a hands-on role where whatever you work on touches all of dbt Cloud and all of our customers at the same time.</p>\n<p>In this role, you can expect to:</p>\n<ul>\n<li>Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels.</li>\n</ul>\n<ul>\n<li>Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles.</li>\n</ul>\n<ul>\n<li>Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale.</li>\n</ul>\n<ul>\n<li>Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust.</li>\n</ul>\n<ul>\n<li>Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments.</li>\n</ul>\n<ul>\n<li>Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform.</li>\n</ul>\n<ul>\n<li>Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers.</li>\n</ul>\n<ul>\n<li>Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.</li>\n</ul>\n<p>You are a good fit if you have:</p>\n<ul>\n<li>Worked asynchronously as part of a fully-remote, distributed team</li>\n</ul>\n<ul>\n<li>Are an experienced backend or platform engineer, proficient in languages like Go or Python, with a history of building large-scale distributed systems.</li>\n</ul>\n<ul>\n<li>Have deep expertise in modern cloud infrastructure, including extensive hands-on experience with a major cloud provider (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).</li>\n</ul>\n<ul>\n<li>Thrive at the intersection of product and infrastructure, with a passion for building internal platforms and automation that enhance developer productivity and platform reliability.</li>\n</ul>\n<ul>\n<li>Bring familiarity with cloud networking concepts, including load balancing, DNS, VPCs, proxies, and service mesh technologies , or have a strong desire to learn and grow in this domain.</li>\n</ul>\n<ul>\n<li>Take strong ownership of your work from end-to-end, demonstrating a systematic, customer-focused approach to problem-solving and a track record of contributing to complex technical projects.</li>\n</ul>\n<ul>\n<li>Are a proactive and collaborative communicator, skilled at articulating technical concepts to both technical and non-technical partners and working effectively across team boundaries.</li>\n</ul>\n<p>You&#39;ll have an edge if you have:</p>\n<ul>\n<li>Direct experience with cell-based or multi-tenant architectures, particularly with building tooling for large-scale account migrations.</li>\n</ul>\n<ul>\n<li>A proven track record of building internal developer platforms or self-service infrastructure that empowers other engineers.</li>\n</ul>\n<ul>\n<li>Hands-on experience with cloud networking tools such as nginx, Istio, Envoy, AWS Transit Gateway, PrivateLink, or Kubernetes CNI/service mesh implementations.</li>\n</ul>\n<ul>\n<li>Deep expertise in multi-cloud strategies, including tools for cross-cloud management and cost optimization.</li>\n</ul>\n<ul>\n<li>Advanced proficiency with our core technologies, including extensive professional experience with both Go and Python, and an interest in or exposure to Rust.</li>\n</ul>\n<ul>\n<li>Advanced industry certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Advanced Networking Specialty, Certified Kubernetes Administrator) or contributions to open-source cloud-native projects.</li>\n</ul>\n<p>Qualifications</p>\n<ul>\n<li>5+ years of professional software engineering experience, particularly in platform, infrastructure, or backend roles supporting SaaS applications.</li>\n</ul>\n<ul>\n<li>A Bachelor&#39;s degree in Computer Science or a related technical field is preferred, though equivalent practical experience or bootcamp completion with relevant work history will be considered.</li>\n</ul>\n<p><strong>Compensation &amp; Benefits</strong></p>\n<p>Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs&#39; total rewards during your interview process.</p>\n<p>In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.</p>\n<ul>\n<li>The typical starting salary range for this role is: $147,000 - $178,000 USD</li>\n</ul>\n<ul>\n<li>The typical starting salary range for this role in the select locations listed is: $163,000 - $198,000 US</li>\n</ul>\n<p>Equity Stake Benefits</p>\n<ul>\n<li>dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!</li>\n</ul>\n<ul>\n<li>Equity or comparable benefits may be offered depending on the legal limitations</li>\n</ul>\n<p><strong>Our Hiring Process (All Video Interviews)</strong></p>\n<ul>\n<li>Interview with a Talent Acquisition Partner (30 Mins)</li>\n</ul>\n<ul>\n<li>Technical Interview with Hiring Manager (60 Mins)</li>\n</ul>\n<ul>\n<li>Team Interviews with Cross Collaborators (4 rounds, 45 Mins each)</li>\n</ul>\n<ul>\n<li>Final Values Interview (30 Mins)</li>\n</ul>\n<p>dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. 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We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.\\n\\nAs a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.\\n\\nStrong candidates may also have experience with:\\n\\n- High-performance, large-scale distributed systems\\n\\n- Implementing and deploying machine learning systems at scale\\n\\n- Load balancing, request routing, or traffic management systems\\n\\n- LLM inference optimization, batching, and caching strategies\\n\\n- Kubernetes and cloud infrastructure (AWS, GCP)\\n\\n- Python or Rust\\n\\nYou may be a good fit if you:\\n\\n- Have significant software engineering experience, particularly with distributed systems\\n\\n- Are results-oriented, with a bias towards flexibility and impact\\n\\n- Pick up slack, even if it goes outside your job description\\n\\n- Want to learn more about machine learning systems and infrastructure\\n\\n- Thrive in environments where technical excellence directly drives both business results and research breakthroughs\\n\\n- Care about the societal impacts of your work\\n\\nRepresentative projects across the org:\\n\\n- Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators\\n\\n- Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads\\n\\n- Building production-grade deployment pipelines for releasing new models to millions of users\\n\\n- Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage\\n\\n- Contributing to new inference features (e.g., structured sampling, prompt caching)\\n\\n- Supporting inference for new model architectures\\n\\n- Analyzing observability data to tune performance based on real-world production workloads\\n\\n- Managing multi-region deployments and geographic routing for global customers\\n\\nDeadline to apply: None. Applications will be reviewed on a rolling basis.\\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:€295.000-€355.000 EUR\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\n\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\n\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\n\\nLocation-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.\\n\\nVisa 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.\\n\\nWe 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. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour 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.\\n\\nHow we&#39;re different\\n\\nWe 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.\\n\\nThe 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.\\n\\nCome work with us!\\n\\nAnthropic 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. 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_c38cbb6f-4b7","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/5150472008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"€295.000-€355.000 EUR","x-skills-required":["performance optimization","distributed systems","large-scale service orchestration","intelligent request routing","LLM inference optimization","batching strategies","multi-accelerator deployments","Kubernetes","cloud infrastructure","Python","Rust"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:00.340Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"performance optimization, distributed systems, large-scale service orchestration, intelligent request routing, LLM inference optimization, batching strategies, multi-accelerator deployments, Kubernetes, cloud infrastructure, Python, Rust"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a2ea62c-943"},"title":"Research Engineer, Infrastructure, RL Systems","description":"<p>We&#39;re looking for an infrastructure research engineer to design and build the core systems that enable scalable, efficient training of large models through reinforcement learning.</p>\n<p>This role sits at the intersection of research and large-scale systems engineering: a builder who understands both the algorithms behind RL and the realities of distributed training and inference at scale. 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You&#39;ll be responsible for leading &amp; growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.</p>\n<p>In collaboration with the Sales, Partnerships, Product, and Engineering teams, you&#39;ll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike.</p>\n<p>You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Team Leadership &amp; Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output</li>\n</ul>\n<ul>\n<li>Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets</li>\n</ul>\n<ul>\n<li>Partner Ecosystem Enablement: Embed your team 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: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets</li>\n</ul>\n<ul>\n<li>Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes 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 international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions</li>\n</ul>\n<ul>\n<li>Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies</li>\n</ul>\n<ul>\n<li>Product Feedback: Validate and gather feedback on Anthropic&#39;s products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy</li>\n</ul>\n<ul>\n<li>Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>7+ 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>5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.</li>\n</ul>\n<ul>\n<li>Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets</li>\n</ul>\n<ul>\n<li>Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale</li>\n</ul>\n<ul>\n<li>Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering &amp; IT teams, and partner leadership</li>\n</ul>\n<ul>\n<li>Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment</li>\n</ul>\n<ul>\n<li>Have excellent communication, collaboration, and coaching abilities</li>\n</ul>\n<ul>\n<li>Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments</li>\n</ul>\n<ul>\n<li>Strong executive presence and ability to foster deep relationships with technical leaders and partner engineering teams</li>\n</ul>\n<ul>\n<li>Have at least a high-level familiarity with the architecture and operation of large language models and/or ML in general</li>\n</ul>\n<ul>\n<li>Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Have a passion for making powerful technology safe and societally beneficial</li>\n</ul>\n<ul>\n<li>Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks</li>\n</ul>\n<p>Strong candidates may have:</p>\n<ul>\n<li>Partner SA Leadership at Scale: 5+ years leading partner-facing solution architect teams through hypergrowth, with direct experience managing both senior SAs and developing junior talent in complex partner ecosystem environments</li>\n</ul>\n<ul>\n<li>AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders and partner leadership in large-scale technical evaluations and joint GTM motions</li>\n</ul>\n<ul>\n<li>GSI Practice Building: Experience helping GSIs or consultancies build or scale their AI/ML practices, including enablement programs, certification paths, and joint solution development</li>\n</ul>\n<p>Annual compensation range for this role is £170,000-£215,000 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_890da396-bd8","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/5146999008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£170,000-£215,000 GBP","x-skills-required":["Technical customer-facing/partner-facing roles","Solutions Architect","Sales Engineer","Partner Sales Engineer","Technical Account Manager","Technical go-to-market management","Enterprise AI deployments","API integrations","Production LLM use cases","Large language models","ML in general","Prompt engineering","LLM evaluation","Architecting AI-powered systems"],"x-skills-preferred":["Partner SA Leadership at Scale","AI/ML Technical Depth + Executive Engagement","GSI Practice Building"],"datePosted":"2026-04-18T15:56:55.674Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical customer-facing/partner-facing roles, Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager, Technical go-to-market management, Enterprise AI deployments, API integrations, Production LLM use cases, Large language models, ML in general, Prompt engineering, LLM evaluation, Architecting AI-powered systems, Partner SA Leadership at Scale, AI/ML Technical Depth + Executive Engagement, GSI Practice Building","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e998910e-d8f"},"title":"Senior Machine Learning Engineer","description":"<p>We&#39;re looking for a Senior Machine Learning Engineer to join our Ads Engineering team. As a Senior Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems. You&#39;ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Designing, building, and deploying production-grade machine learning models and systems at scale</li>\n<li>Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring</li>\n<li>Building scalable data and model pipelines with strong reliability, observability, and automated retraining</li>\n<li>Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems</li>\n<li>Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions</li>\n</ul>\n<p>You&#39;ll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.</p>\n<p>To be successful in this role, you&#39;ll need:</p>\n<ul>\n<li>3-5+ years of experience building, deploying, and operating machine learning systems in production</li>\n<li>Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals</li>\n<li>ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)</li>\n<li>Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li>\n<li>Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure</li>\n<li>Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions</li>\n</ul>\n<p>Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.</p>\n<p>At Reddit, we&#39;re committed to building a workforce representative of the diverse communities we serve. We&#39;re proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.</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_e998910e-d8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://www.redditinc.com","logo":"https://logos.yubhub.co/redditinc.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/reddit/jobs/6960833","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Java","Go","PyTorch","TensorFlow","XGBoost","Random Forests","Regressions","Transformers","CNNs","GNNs"],"x-skills-preferred":["Recommender systems","Search/ranking systems","Advertising/auction systems","Large-scale 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strategy for the global system integrator ecosystem\\n\\n</em> Serve as the enablement lead for a portfolio of strategic global SIs, accountable for practitioner readiness and certification outcomes\\n\\n<em> Build and scale the SI enablement function, including team, operating model, and coverage approach across partner segments\\n\\n</em> Design and operationalize repeatable programs across onboarding, technical workshops, train-the-trainer, hackathons, and product launches\\n\\n<em> Develop partner learning pathways and certification delivery models that scale across large practitioner populations\\n\\n</em> Create high-quality enablement content such as playbooks, solution guides, and technical assets\\n\\n<em> Enable Anthropic sellers and partner managers to engage, position, and co-sell effectively with SIs\\n\\n</em> Partner cross-functionally to align priorities, share infrastructure, and ensure consistent execution across partner-facing initiatives\\n\\n<em> Establish metrics and reporting to track partner activation, certification progress, pipeline contribution, and program effectiveness\\n\\n</em> Build feedback loops that bring partner insights back into enablement, product, and GTM strategy\\n\\nYou might thrive in this role if you:\\n\\n<em> 7-10+ years of Partner Enablement, Alliance or Sales experience\\n\\n</em> Have built and scaled partner enablement or practice development programs in high-growth technology environments\\n\\n<em> Have deep experience working with or inside large global system integrators and understand how they build, staff, and grow a technology practice\\n\\n</em> Bring existing senior relationships across the SI ecosystem and the executive presence to influence practice and alliance leadership\\n\\n<em> Turn complex product and GTM strategy into clear, scalable programs\\n\\n</em> Are an effective operator who can lead cross-functional initiatives across complex organizations\\n\\n<em> Thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1\\n\\n</em> Think in systems, operating models, and tiered coverage rather than one-off efforts\\n\\n<em> Are technically curious about AI and credible with both business and technical partner audiences\\n\\nStrong candidates may also have:\\n\\n</em> Experience building or running an authorized training partner or certified instructor network\\n\\n<em> Prior ownership of, or close partnership with, a technology certification program\\n\\n</em> Time spent inside a GSI&#39;s AI, data, or cloud practice, or on a hyperscaler&#39;s SI alliance team\\n\\n<em> A track record connecting enablement activity to pipeline and revenue outcomes\\n\\n</em> Experience scaling programs across multiple regions, including offshore delivery centers\\n\\n* People management experience with distributed or matrixed teams\\n\\nLogistics:\\n\\nThis role must be based in one of our hubs: San Francisco, New York, or London.\\n\\nWe operate a hybrid model and expect regular time onsite with partners and at Anthropic offices.\\n\\nExpect roughly 25-35% travel.\\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: $190,000-$310,000 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_1011c7e0-900","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/5188391008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$310,000 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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. 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.</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>We&#39;re looking for seasoned full-stack software engineers to join the teams behind Gusto&#39;s payments and risk platforms to serve small business owners every day. 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As a Payments Engineer, you&#39;ll build new payments capabilities across US and international markets, and help rearchitect our payments platform to scale for the future.</p>\n<p>Risk – The Risk team builds best-in-class experiences that protect Gusto and our customers from financial and reputational harm. As a Risk Engineer, you&#39;ll develop infrastructure for two core areas: bad actor prevention , stopping fraudsters from abusing Gusto&#39;s platform while reducing false positives , and credit underwriting and collections, enabling faster, broader access to credit while minimizing financial loss.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>Design, build, and test Gusto core money movement or risk platform services – payment rails, ledgering, wallets, fraud, decisioning engine, KYC, AML, and compliance capabilities, among others</li>\n<li>Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale</li>\n<li>Help scale one of the largest Ruby/Rails and Javascript/React applications in the world</li>\n<li>Collaborate with our Product Engineering, Product Management, Data, Design, and financial operations teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch</li>\n<li>Build platforms that engineering teams rely on, and trust to deliver products that our customers genuinely love</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>Successful applicants typically have 8+ years of software development experience</li>\n<li>Passion for creating scalable, efficient money movement platforms for users</li>\n<li>Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new platform capabilities</li>\n<li>Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams</li>\n<li>Experience owning multi-quarter projects that solve complex engineering problems and make measurable user impact at scale</li>\n<li>Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your platform area</li>\n<li>Ability to mentor engineers to maximize their performance and impact</li>\n</ul>\n<p>Others:</p>\n<ul>\n<li>Experience in, or interest working in, Ruby on Rails</li>\n<li>Appreciation for a collaborative, test-driven environment</li>\n<li>Ability to build well-structured, maintainable, well-documented code</li>\n<li>Ability to effectively communicate across engineering teams and with business stakeholders</li>\n</ul>\n<p>Do you prefer a non-payments or risk-specific platform role instead? Check out our Staff Software Engineer, Core Platforms job listing. Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.</p>\n<p>Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver &amp; most remote locations, and $197,000–$247,000 for San Francisco &amp; New York. Stock equity is additional. 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The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. 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You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide.</p>\n<p>As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone.</p>\n<p>At Databricks, we are obsessed with enabling data teams to solve the world&#39;s toughest problems, from security threat detection to cancer drug development. 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At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.</p>\n<p>The Impact you will have:</p>\n<ul>\n<li>Solve real business needs at large scale by applying your software engineering.</li>\n<li>Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers</li>\n<li>Low level systems debugging, performance measurement &amp; optimization on large production clusters.</li>\n<li>Build architecture design, influence product roadmap, and take ownership and responsibility over new projects</li>\n<li>Use your deep experience to help prevent and investigate production issues.</li>\n<li>Plan and lead complicated technical projects that work with several teams within the company.</li>\n<li>A strong influencer or driver in the organization’s roadmap and direction.</li>\n<li>Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs.</li>\n<li>Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation).</li>\n<li>Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>15+ years industry experience building and supporting large-scale distributed systems.</li>\n<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>\n<li>Motivated by delivering customer value and impact.</li>\n<li>Strong foundation in algorithms and data structures and their real-world use cases.</li>\n<li>Experience driving company initiatives towards customer satisfaction.</li>\n</ul>\n<p>About Databricks</p>\n<p>Databricks is the data and AI company. More than 10,000 organizations 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. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.</p>\n<p>Benefits</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 click here.</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. 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You will build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Providing technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.</li>\n<li>Partnering with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.</li>\n<li>Ensuring regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.</li>\n<li>Attracting and growing top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast-paced, dynamic environment.</li>\n<li>Experience building large-scale distributed systems with high availability and security requirements.</li>\n<li>Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.</li>\n<li>Proven success driving cross-functional security initiatives and influencing leaders without direct authority.</li>\n<li>Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.</li>\n<li>Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.</li>\n</ul>\n<p>Pay Range Transparency</p>\n<p>Databricks is committed to fair and equitable compensation practices. The pay range for this role is $190,000-$261,250 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_b0b4fd6a-aa2","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/8298018002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$261,250 USD","x-skills-required":["software engineering","engineering leadership","large-scale distributed systems","high availability","security requirements","team management","cross-functional security initiatives","technical direction","architecture","pragmatic execution mindset","communication","leadership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:30.708Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, engineering leadership, large-scale distributed systems, high availability, security requirements, team management, cross-functional security initiatives, technical direction, architecture, pragmatic execution mindset, communication, leadership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":261250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca221b6f-dca"},"title":"Technical Program Manager, Safeguards (Infrastructure & Evals)","description":"<p><strong>About the Role</strong></p>\n<p>Safeguards Engineering builds and operates the infrastructure that keeps Anthropic&#39;s AI systems safe in production. As a Technical Program Manager for Safeguards Infrastructure and Evals, you&#39;ll own the operational health and forward momentum of this stack.</p>\n<p>Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.</p>\n<p>Alongside that ongoing operational rhythm, you&#39;ll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.</p>\n<p>This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what&#39;s actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them.</p>\n<p>But the core of the job is keeping the machine running well and the work moving.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the Safeguards Engineering ops review</li>\n<li>Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.</li>\n<li>Drive incident tracking and post-mortem execution</li>\n<li>Establish and maintain SLOs with partner teams</li>\n<li>Maintain runbook quality and incident-ownership clarity</li>\n<li>Drive platform migrations and infrastructure projects</li>\n<li>Coordinate evals platform improvements</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Solid technical program management experience, particularly in operational or infrastructure-heavy environments</li>\n<li>Understanding of how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what&#39;s going wrong and why</li>\n<li>Ability to work effectively across team boundaries</li>\n<li>Experience with or strong interest in AI safety</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with SRE practices, incident management frameworks, or on-call operations at scale</li>\n<li>Familiarity with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents)</li>\n<li>Experience driving infrastructure migrations in complex, multi-team environments</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_ca221b6f-dca","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://anthropic.ai/","logo":"https://logos.yubhub.co/anthropic.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5108695008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$365,000 USD","x-skills-required":["Technical Program Management","Operational or Infrastructure-heavy Environments","Production ML Systems","Incident Tracking and Post-Mortem Execution","Service-Level Objectives (SLOs)","Runbook Quality and Incident-Ownership Clarity","Platform Migrations and Infrastructure Projects","Evals Platform Improvements"],"x-skills-preferred":["SRE Practices","Incident Management Frameworks","On-Call Operations at Scale","Monitoring and Alerting Tooling","Infrastructure Migrations in Complex, Multi-Team Environments"],"datePosted":"2026-04-18T15:55:20.655Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Operational or Infrastructure-heavy Environments, Production ML Systems, Incident Tracking and Post-Mortem Execution, Service-Level Objectives (SLOs), Runbook Quality and Incident-Ownership Clarity, Platform Migrations and Infrastructure Projects, Evals Platform Improvements, SRE Practices, Incident Management Frameworks, On-Call Operations at Scale, Monitoring and Alerting Tooling, Infrastructure Migrations in Complex, Multi-Team Environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5cad560f-dc3"},"title":"Engineering Manager, Cloud Networking (Brazil)","description":"<p>You will join Airbnb&#39;s mission-driven company dedicated to helping create a world where anyone can belong anywhere. As the first Network engineering lead in Airbnb&#39;s Brazil office, you will be responsible for bootstrapping and growing the networking team in our new San Paulo office.</p>\n<p>Your primary focus will be on delivering an Airbnb network platform that is flexible, efficient, always available, and scales with the needs of the business. You will work closely with peers across Cloud Infra, Security, Reliability, and many other partner teams across the company to achieve this goal.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Providing meaningful input to technical designs and direct hands-on contributions to projects in the cloud networking space</li>\n<li>Growing, leading, and managing a small team of talented engineers</li>\n<li>Supporting your team&#39;s professional growth and maintaining high performance through mentorship and coaching</li>\n<li>Working with tech leads, peers, and partners to define and execute on a coherent vision and roadmap for Airbnb&#39;s cloud network infrastructure and related components</li>\n<li>Working with open source communities (e.g. istio) to build the next generation service mesh for all Airbnb back-end services</li>\n<li>Building cross-region gateways and load balancers for global Airbnb services</li>\n<li>Working with external partners and internal engineering and security teams to deliver edge security systems that protect Airbnb services</li>\n<li>Nurturing a culture of technical quality from design, through code review, to production</li>\n<li>Building strong partnership and alignment with teams across engineering</li>\n<li>Nurturing relationships with open source communities and external service partners</li>\n</ul>\n<p>As a successful candidate, you will have a strong background in engineering management, with 2+ years of experience and 8+ years of relevant software development experience in a fast-paced tech environment. You will also have experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, as well as experience running large-scale networking systems and software (e.g. proxies, DNS, gateways).</p>\n<p>Additionally, you will have excellent communication skills and the ability to work well with teams across the engineering organization (e.g. reliability, compute, security, etc.). You will also have strong problem-solving skills and experience leading teams on-call for production infrastructure.</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_5cad560f-dc3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7381450","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Professional fluency in English","2+ years of engineering management experience","8+ years of relevant software development experience in a fast-paced tech environment","Experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings","Experience running large-scale networking systems and software (e.g. proxies, DNS, gateways)","Experience with Istio service mesh, k8s and cloud native technologies","Excellent communication skills and the ability to work well with teams across the engineering organization","Strong problem-solving skills and experience leading teams on-call for production infrastructure"],"x-skills-preferred":["Experience with open source communities (e.g. istio)","Experience building cross-region gateways and load balancers for global services","Experience working with external partners and internal engineering and security teams to deliver edge security systems"],"datePosted":"2026-04-18T15:55:03.519Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Professional fluency in English, 2+ years of engineering management experience, 8+ years of relevant software development experience in a fast-paced tech environment, Experience with a public cloud provider (AWS, GCP, Azure) and their networking service offerings, Experience running large-scale networking systems and software (e.g. proxies, DNS, gateways), Experience with Istio service mesh, k8s and cloud native technologies, Excellent communication skills and the ability to work well with teams across the engineering organization, Strong problem-solving skills and experience leading teams on-call for production infrastructure, Experience with open source communities (e.g. istio), Experience building cross-region gateways and load balancers for global services, Experience working with external partners and internal engineering and security teams to deliver edge security systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1ffc5209-001"},"title":"Design Engineer, Radar","description":"<p>About Us\\n\\nAt Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.\\n\\nWe protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.\\n\\nAvailable Locations: Lisbon, Portugal\\n\\n## About the Department\\n\\nEmerging Technologies &amp; Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.\\n\\n## About the Role\\n\\nAs a Design Engineer you’ll sit at the intersection of design, front-end engineering, and data visualization roles, working closely with product managers, engineers and also designers to craft fast, elegant, and reliable interfaces that make complex Internet trends and metrics easy to explore. You’ll be part of a growing engineering team tasked to help build and evolve projects at ETI such as Cloudflare Radar, our public data-intelligence platform, Radar Display, our large-format visualization experience optimized for big screens and live event environments, Year in Review, and other tools which are part of our ecosystem where you will be able to enrich their user experience as well.\\n\\n## What you’ll do\\n\\nWe are looking for an experienced and empathetic Design Engineer who will help build and scale the platform that empowers millions of users to be successful with Cloudflare. In this role, you’ll use your skills to ensure we have a world-class user interface that gives customers relevant and up-to-date content whenever they need it. This is a cross-functional role where you’ll work collaboratively across the product, engineering and design teams.\\n\\n- Design User experiences and UI components that scale across ETI ensuring performance on desktop, mobile, and large-format displays.\\n- Build interactive visualizations (maps, charts, dashboards) that bring global Internet data to life.\\n- Prototype high-fidelity UI/UX concepts and iterate rapidly based on user feedback and real-world data.\\n- Translate product specs into clear UI/UX design using modern design tooling (e.g., Figma, Miro).\\n- Champion design system consistency, contributing to new and reusable components to keep Radar cohesive and scalable in several distinct platforms.\\n- Ensure our products and tools meet high standards for performance, accessibility, internationalization, and responsiveness.\\n- Maintain UX/UI high quality by performing rapidly fixes and small enhancements, polishing items, and bugs reported by customers and internal teams.\\n- Support the creation and optimization of tools like the Radar Display layouts tailored for big screens (wallboards, NOCs, conferences, lobbies) and customized for diverse events.\\n\\nTechnologies We Use\\n\\n- Figma, Miro\\n- React, Tailwind, Storybook, TypeScript\\n- Git, GitLab CI/CD\\n\\nQualifications\\n\\n- 3+ years of experience in a hybrid Design Engineer, UI Engineer, or Frontend Engineer role with a strong design focus.\\n- Expertise in building modern, scalable, and responsive UI applications using React, TypeScript, and advanced CSS.\\n- A strong portfolio showcasing your ability to translate complex design concepts (Figma, Miro, etc.) into high-quality, pixel-perfect code.\\n- Hands-on experience building, maintaining, or contributing to a component library or design system (e.g., using Storybook).\\n- Excellent communication and collaboration skills, with a proven ability to work effectively with designers and product managers to scope work and find scalable solutions.\\n- A pragmatic and product-oriented mindset, capable of balancing technical debt, design intent, and development velocity.\\n\\nPreferred Skills\\n\\n- Experience with UX prototyping and iterating in both high-fidelity (Figma) and code-based tools.\\n- Experience with web accessibility (WCAG) and building inclusive interfaces.\\n- Experience working on large-scale products used by multiple teams.\\n\\nWhy Join Us?\\n\\n- Bridge the gap between design and engineering on a high-visibility, high-impact Radar team solving real problems.\\n- Directly address and solve customer pain points, improving the experience for millions of users.\\n- Shape the future of the Cloudflare UI by building its foundational patterns and exploring ambitious &quot;North Star&quot; concepts.\\n- Join a collaborative, fast-moving team that values high-quality, scalable design and rapid iteration.\\n\\nWhat Makes Cloudflare Special?\\n\\nWe’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.\\n\\nProject Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.\\n\\nAthenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.\\n\\n1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.\\n\\nSound like something you’d like to be a part of? We’d love to hear from you!\\n\\nThis position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.</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_1ffc5209-001","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7449149","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Figma","Miro","React","Tailwind","Storybook","TypeScript","Git","GitLab CI/CD","UI applications","Advanced CSS","Component library","Design system","Web accessibility","Inclusive interfaces"],"x-skills-preferred":["UX prototyping","Code-based tools","Large-scale products"],"datePosted":"2026-04-18T15:54:54.641Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Figma, Miro, React, Tailwind, Storybook, TypeScript, Git, GitLab CI/CD, UI applications, Advanced CSS, Component library, Design system, Web accessibility, Inclusive interfaces, UX prototyping, Code-based tools, Large-scale products"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_704c1e4a-ec2"},"title":"Engineering Manager, Guest & Host","description":"<p>We are seeking an experienced Engineering Manager to join our Guest &amp; Host Services team. As an Engineering Manager, you will lead a team of talented software developers to prototype, build and improve hosting services. Your responsibilities will include exploring new product experiences, leading investments into new technical capabilities, collaborating with engineers to plan and sequence the delivery of new features and capabilities, and partnering with peer engineering teams to integrate new features that impact different areas within the product.</p>\n<p>You will also be responsible for recruiting and nurturing exceptional engineering talent, fostering an inclusive team culture and environment that encourages collaboration, technical excellence, and innovation, and making sure the team&#39;s partnerships with key stakeholders in Engineering, Design, and Product are strong.</p>\n<p>To be successful in this role, you will need to have 5+ years of engineering management experience, with 9+ years of relevant software development industry experience in a fast-paced tech environment. You will also need to have deep expertise with backend systems and complex data modeling in large-scale consumer applications, excellent communication and presentation skills, and an end-to-end, product-oriented mentality that transcends team boundaries and helps find globally optimal solutions.</p>\n<p>As a member of our team, you will have the opportunity to work on a wide range of projects and contribute to the development of new features and capabilities that will help us achieve our mission of making it easier for people to host on Airbnb.</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_704c1e4a-ec2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7532824","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"£120,000-£150,000 GBP","x-skills-required":["backend systems","complex data modeling","large-scale consumer applications","engineering management","software development"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:54.506Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, United Kingdom"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"backend systems, complex data modeling, large-scale consumer applications, engineering management, software development","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":120000,"maxValue":150000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_231ce599-c30"},"title":"Staff Machine Learning Engineer, Content Quality Signals","description":"<p>We&#39;re seeking a Staff Machine Learning Engineer to join our Content Understanding team. As a key member of this team, you will lead modeling strategy for content understanding, including architecture selection, training approach, and evaluation methodology. You will design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces. The ideal candidate will have significant industry experience building software and ML pipelines/systems, including technical leadership. They will have strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals. The role requires proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies. The successful candidate will have deep hands-on experience in content understanding domains, such as computer vision, NLP, and multimodal/embedding models. They will also have experience working with large-scale datasets and distributed compute. The ideal candidate will be able to influence across teams and drive ambiguous problem areas to measurable outcomes. They will have strong applied skills in evaluation and experimentation, including defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.</p>\n<p>The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. The successful candidate will be able to provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.</p>\n<p>In addition to the above responsibilities, the successful candidate will be expected to:</p>\n<ul>\n<li>Collaborate with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).</li>\n<li>Partner with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.</li>\n<li>Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.</li>\n<li>Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.</li>\n</ul>\n<p>Nice to have: experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring; familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.</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_231ce599-c30","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/7531060","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$189,308-$389,753 USD","x-skills-required":["Python","PyTorch","TensorFlow","Computer Vision","NLP","Multimodal Embedding Models","Large-Scale Datasets","Distributed Compute"],"x-skills-preferred":["Cursor","Copilot","Codex","LLM-Powered Productivity Tools"],"datePosted":"2026-04-18T15:54:53.925Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, Computer Vision, NLP, Multimodal Embedding Models, Large-Scale Datasets, Distributed Compute, Cursor, Copilot, Codex, LLM-Powered Productivity Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189308,"maxValue":389753,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5f66d426-bea"},"title":"Principal Software Engineer, Corporate AI","description":"<p>The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization&#39;s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.</p>\n<p>The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.</p>\n<p>A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact.</p>\n<p>Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organisational objectives.</li>\n</ul>\n<ul>\n<li>Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.</li>\n</ul>\n<ul>\n<li>Lead the design, development, and deployment of high-performance AI systems, data pipelines, and intelligent services from conception through production.</li>\n</ul>\n<ul>\n<li>Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short-term delivery with long-term resilience and scalability.</li>\n</ul>\n<ul>\n<li>Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.</li>\n</ul>\n<ul>\n<li>Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de-risk decisions, or accelerate progress.</li>\n</ul>\n<ul>\n<li>Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalisation, search, and intelligent decision-making.</li>\n</ul>\n<ul>\n<li>Drive innovation in intelligence models, distributed training, optimisation techniques, and data engineering to maximise performance, quality, and business impact.</li>\n</ul>\n<ul>\n<li>Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.</li>\n</ul>\n<ul>\n<li>Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward-looking technical posture.</li>\n</ul>\n<ul>\n<li>Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.</li>\n</ul>\n<ul>\n<li>Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.</li>\n</ul>\n<ul>\n<li>Resolve conflicting requirements and priorities with sound technical judgment that favours long-term organisational outcomes over local optimisation.</li>\n</ul>\n<ul>\n<li>Advocate for intelligence-driven solutions across the organisation and influence company-wide technical priorities.</li>\n</ul>\n<ul>\n<li>Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org-wide and EPD-level strategy.</li>\n</ul>\n<ul>\n<li>Provide mentorship and technical guidance to engineers and data scientists from mid-level through senior, fostering continuous learning and technical excellence.</li>\n</ul>\n<ul>\n<li>Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.</li>\n</ul>\n<ul>\n<li>Facilitate knowledge sharing across teams through documentation, design write-ups, technical discussions, and mentorship programs.</li>\n</ul>\n<ul>\n<li>Act as a voice for engineers by synthesising feedback, surfacing gaps and risks, and communicating them clearly to leadership.</li>\n</ul>\n<ul>\n<li>Contribute to multi-year technical vision and roadmap planning, anticipating future scale, complexity, and organisational needs.</li>\n</ul>\n<ul>\n<li>Identify architectural, operational, and security risks early and mobilise proactive mitigation plans across org boundaries.</li>\n</ul>\n<ul>\n<li>Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well-aligned.</li>\n</ul>\n<ul>\n<li>For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company-wide strategy.</li>\n</ul>\n<ul>\n<li>Lead and support critical, high-impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.</li>\n</ul>\n<ul>\n<li>Drive execution on complex projects with significant ambiguity or high cost of failure.</li>\n</ul>\n<ul>\n<li>Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.</li>\n</ul>\n<ul>\n<li>Promote a bias toward action, thoughtful experimentation, and continuous learning.</li>\n</ul>\n<ul>\n<li>Model excellence in engineering craft, collaboration, accountability, and inclusive behaviour.</li>\n</ul>\n<ul>\n<li>Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.</li>\n</ul>\n<ul>\n<li>Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise-scale AI adoption, automation, or data engineering.</li>\n</ul>\n<ul>\n<li>Proven track record of leading large-scale, multi-team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.</li>\n</ul>\n<ul>\n<li>Strong architectural judgment and systems thinking, with the ability to balance short-term delivery with long-term sustainability, scalability, and operational excellence.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision-making rather than formal authority.</li>\n</ul>\n<ul>\n<li>Experience mentoring engineers and raising the technical bar of an organisation through design reviews, code reviews, and technical guidance.</li>\n</ul>\n<ul>\n<li>Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Strong coding ability in at least one language commonly used in AI and data systems such as Python, Java, Go, or Scala, with hands-on experience building models, data pipelines, or scalable production services.</li>\n</ul>\n<ul>\n<li>Experience operating in platform, infrastructure, or internal tooling organisations, including leading or significantly influencing org-wide technical initiatives.</li>\n</ul>\n<ul>\n<li>Proven ability to navigate ambiguity and competing priorities, drive clarity, and make sound technical and product trade-offs in partnership with product managers.</li>\n</ul>\n<ul>\n<li>Experience collaborating cross-functionally with product, design, infrastructure, and legal or privacy stakeholders to deliver AI-powered or data-intensive products responsibly.</li>\n</ul>\n<ul>\n<li>Familiarity with AI-assisted development practices in large codebases, along with experience representing engineering externally through talks, blogs, or industry events when applicable.</li>\n</ul>\n<p><strong>Compensation:</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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locations"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Artificial Intelligence, Machine Learning, Automation, Data Analytics, Visualization, Python, Java, Go, Scala, Cloud Storage, File-Sharing, Software Engineering, Intelligent Workflows, Enterprise-Scale AI Adoption, Data Engineering"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4d46c846-fd6"},"title":"Sr. Manager, Engineering - AI Gateway (LLM Inference)","description":"<p>We are seeking a Sr. Manager of Engineering to lead teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business.</p>\n<p>As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products, playing a key role in defining the future of how AI and data applications are built.</p>\n<p>The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business</li>\n<li>Working closely with product and research on cutting-edge technologies</li>\n<li>Being responsible for launching and growing new products</li>\n<li>Playing a key role in defining the future of how AI and data applications are built</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>8+ years of industry experience building and supporting large-scale data or production applications</li>\n<li>Experience building classic ML or GenAI systems</li>\n<li>A passion for building and scaling early-stage products</li>\n<li>Ability to adapt in a fast-paced environment</li>\n<li>Motivated by delivering customer value and impact</li>\n<li>Experience driving company initiatives towards customer satisfaction</li>\n<li>BS/MS/PhD in Computer Science or related majors, or equivalent experience</li>\n</ul>\n<p>Pay Range Transparency: 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. 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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.</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_4d46c846-fd6","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/8491947002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$228,600-$314,250 USD","x-skills-required":["large-scale data or production applications","classic ML or GenAI systems","building and scaling early-stage products","adapting in a fast-paced environment","delivering customer value and impact","driving company initiatives towards customer satisfaction","Computer Science or related majors"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:44.993Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale data or production applications, classic ML or GenAI systems, building and scaling early-stage products, adapting in a fast-paced environment, delivering customer value and impact, driving company initiatives towards customer satisfaction, Computer Science or related majors","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":228600,"maxValue":314250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b6468802-409"},"title":"Senior Staff Software Engineer - Unity Catalog Runtime Enforcement","description":"<p>We are seeking a Senior Staff Software Engineer to lead the Unity Catalog Runtime Enforcement team. As a key member of our engineering team, you will be responsible for developing and hardening the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds.</p>\n<p>The impact you will have:</p>\n<ul>\n<li>Lead and grow an engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.</li>\n<li>Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.</li>\n<li>Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.</li>\n<li>Introduce tools to allow greater automation and operability of services.</li>\n<li>Use your deep experience to help prevent and investigate production issues.</li>\n<li>Plan and lead complicated technical projects that work with several teams within the company.</li>\n</ul>\n<p>What we look for:</p>\n<ul>\n<li>15+ years industry experience building and supporting large-scale distributed systems.</li>\n<li>Comfortable working towards a multi-year vision with incremental deliverables.</li>\n<li>Extensive experience building and maintaining distributed systems.</li>\n<li>Security first mindset.</li>\n<li>Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.</li>\n<li>Motivated by delivering customer value and impact.</li>\n<li>Experience driving company initiatives towards customer satisfaction.</li>\n<li>BS/MS/PhD in Computer Science or related majors, or equivalent experience.</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_b6468802-409","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/8422477002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["large-scale distributed systems","Unity Catalog","runtime enforcement","authorization","data access"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:40.880Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Amsterdam, Netherlands"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"large-scale distributed systems, Unity Catalog, runtime enforcement, authorization, data access"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0e7f0680-548"},"title":"Associate Solutions Consultant","description":"<p>We are looking for an Associate Solutions Consultant to support our commercial segment. This role will be dedicated to supporting our commercial teams and will be pivotal to driving Figma&#39;s growth within the region. You&#39;ll partner with established teams across our sales organization to drive value within our customer base, decreasing their time to value, and helping them sustain long-term impact.</p>\n<p>As an Associate Solutions Consultant, you will:</p>\n<ul>\n<li>Paint the vision of the Figma Platform and guide customers in realizing the value of expansion</li>\n<li>Conduct technical discovery with product teams to uncover pain points across ideation and prototyping, design systems, design-to-dev handoff, and developer workflows</li>\n<li>Create presentations and tailored demos to showcase proposed solutions</li>\n<li>Advise on deal strategy by helping AEs qualify opportunities, assess technical risk, and progress deals forward</li>\n<li>Own IT and Security relationships during the deal cycle by addressing security questionnaires and enterprise requirements, in order to help customers adopt the platform securely and at scale</li>\n<li>Collaborate with Product and Engineering to quantify customer needs and help influence the product roadmap</li>\n<li>Design and scale technical sales efforts, facilitating conversations and connections between our customers, sales and product teams</li>\n<li>Create thoughtful content to delight customers and internal partners surrounding the Figma platform</li>\n</ul>\n<p>We&#39;d love to hear from you if you have:</p>\n<ul>\n<li>4+ years professional experience including 2+ years positioning software in a presales capacity</li>\n<li>Experience selling to or working within product development teams, including design, engineering, or product</li>\n<li>Demonstrated ability to adapt to new technologies and learn quickly</li>\n</ul>\n<p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&#39;re excited about this role but your past experience doesn&#39;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</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_0e7f0680-548","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Figma","sameAs":"https://www.figma.com/","logo":"https://logos.yubhub.co/figma.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/figma/jobs/5633324004","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$115,200-$221,600 USD","x-skills-required":["software positioning","presales capacity","product development teams","design","engineering","product","technical discovery","pain points","ideation","prototyping","design systems","design-to-dev handoff","developer workflows","presentations","demos","deal strategy","AEs","opportunities","technical risk","deals forward","IT","Security","security questionnaires","enterprise requirements","customer adoption","platform security","scale","product roadmap","technical sales efforts","conversations","connections","customers","sales","product teams","content creation","customer delight","internal partners"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:39.316Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA • New York, NY • United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"software positioning, presales capacity, product development teams, design, engineering, product, technical discovery, pain points, ideation, prototyping, design systems, design-to-dev handoff, developer workflows, presentations, demos, deal strategy, AEs, opportunities, technical risk, deals forward, IT, Security, security questionnaires, enterprise requirements, customer adoption, platform security, scale, product roadmap, technical sales efforts, conversations, connections, customers, sales, product teams, content creation, customer delight, internal partners","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":115200,"maxValue":221600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cba88898-896"},"title":"Research Engineer, Infrastructure, Kernels","description":"<p>We&#39;re looking for an infrastructure research engineer to design, optimize, and maintain the compute foundations that power large-scale language model training. You will develop high-performance ML kernels (e.g., CUDA, CuTe, Triton), enable efficient low-precision arithmetic, and improve the distributed compute stack that makes training large models possible.</p>\n<p>This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You&#39;ll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You&#39;ll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.</li>\n<li>Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.</li>\n<li>Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.</li>\n<li>Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.</li>\n<li>Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.</li>\n<li>Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.</li>\n</ul>\n<p><strong>Skills and Qualifications</strong></p>\n<p>Minimum qualifications:</p>\n<ul>\n<li>Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.</li>\n<li>Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases</li>\n<li>Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.</li>\n<li>Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.</li>\n<li>A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.</li>\n<li>Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.</li>\n<li>Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.</li>\n</ul>\n<p>Preferred qualifications:</p>\n<ul>\n<li>Experience training or supporting large-scale language models with tens of billions of parameters or more.</li>\n<li>Track record of improving research productivity through infrastructure design or process improvements.</li>\n<li>Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.</li>\n<li>Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.</li>\n<li>Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).</li>\n<li>Contributions to open-source GPU, ML systems, or compiler optimization projects.</li>\n<li>Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.</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_cba88898-896","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/5013934008","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000 - 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This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.</p>\n<p>When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.</p>\n<p>The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and grow a team of prompt engineers and platform software engineers</li>\n<li>Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship</li>\n<li>Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces</li>\n<li>Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic</li>\n<li>Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure</li>\n<li>Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior</li>\n<li>Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them</li>\n<li>Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers</li>\n<li>A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details</li>\n<li>Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once</li>\n<li>Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.</li>\n<li>A product mindset and willingness to wear multiple hats when the work calls for it</li>\n<li>Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it</li>\n<li>Experience recruiting and closing senior ICs in a competitive market</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially</li>\n<li>Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems</li>\n<li>Background in devtools, CI/CD platforms, or testing infrastructure at scale</li>\n<li>A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability</li>\n<li>Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder</li>\n</ul>\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. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren’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.</li>\n</ul>\n<p><strong>How we’re different</strong></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. 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You&#39;ll act as the technical leader across our marketing and growth web surfaces, partnering with marketing, analytics, design, data science, and engineering teams to ensure our web stack is modern, performant, measurable, and delightful to build on.</p>\n<p>You&#39;ll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.</p>\n<p>As a senior technical leader, you will:</p>\n<p>Own and evolve the architecture of Intercom&#39;s web stack. Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility. 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We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.</p>\n<p>Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.</p>\n<p>Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we&#39;ve provided services to more than 425 local government election websites in 33 states.</p>\n<p>1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.</p>\n<p>Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.</p>\n<p>Sound like something you’d like to be a part of? 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As a Director of Engineering, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting, and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. 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You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives</li>\n</ul>\n<ul>\n<li>Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships</li>\n</ul>\n<ul>\n<li>Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones</li>\n</ul>\n<ul>\n<li>Support the structuring and negotiation of strategic compute deals, including financial modeling, term analysis, and vendor evaluation</li>\n</ul>\n<ul>\n<li>Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners</li>\n</ul>\n<ul>\n<li>Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility</li>\n</ul>\n<ul>\n<li>Analyze financial and operational data to inform decision-making on compute capacity planning and vendor strategy</li>\n</ul>\n<ul>\n<li>Provide clear and transparent reporting on program status, issues, and risks to leadership</li>\n</ul>\n<p>You might be a good fit if you have:</p>\n<ul>\n<li>8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies</li>\n</ul>\n<ul>\n<li>Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data center/infrastructure)</li>\n</ul>\n<ul>\n<li>Background in cloud computing, data center infrastructure, compute/silicon development, or technology-focused investment banking or consulting</li>\n</ul>\n<ul>\n<li>Familiarity with data center infrastructure, compute hardware, and/or silicon development cycles</li>\n</ul>\n<ul>\n<li>Comfort with financial analysis and modeling; experience with vendor financing arrangements is a plus</li>\n</ul>\n<ul>\n<li>Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders</li>\n</ul>\n<ul>\n<li>Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution</li>\n</ul>\n<ul>\n<li>A track record of managing cross-functional initiatives in fast-paced, scaling technology environments</li>\n</ul>\n<ul>\n<li>A passion for Anthropic&#39;s mission and ensuring safe AI development</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience managing external partnerships with large-scale cloud providers or hardware vendors</li>\n</ul>\n<ul>\n<li>Understanding of AI/ML infrastructure requirements and compute capacity planning</li>\n</ul>\n<ul>\n<li>Experience with vendor financing, equipment leasing, or infrastructure investment analysis</li>\n</ul>\n<ul>\n<li>Background in technical due diligence or technology M&amp;A</li>\n</ul>\n<p>The annual compensation range for this role is $250,000-$310,000 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<ul>\n<li>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.</li>\n</ul>\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. 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Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration</li>\n</ul>\n<ul>\n<li>Strong interest in inference</li>\n</ul>\n<ul>\n<li>Thrive in cross-functional collaboration with both internal teams and external partners</li>\n</ul>\n<ul>\n<li>Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems</li>\n</ul>\n<ul>\n<li>Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work</li>\n</ul>\n<ul>\n<li>Pick up slack, even when it goes outside your job description</li>\n</ul>\n<p>Preferred skills:</p>\n<ul>\n<li>Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings</li>\n</ul>\n<ul>\n<li>A background in building platform-agnostic tooling or abstraction layers that work across cloud providers</li>\n</ul>\n<ul>\n<li>Hands-on experience with capacity management, cost optimisation, or resource planning at scale across heterogeneous environments</li>\n</ul>\n<ul>\n<li>Strong familiarity with LLM inference optimisation, batching, caching, and serving strategies</li>\n</ul>\n<ul>\n<li>Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators</li>\n</ul>\n<ul>\n<li>Background designing and building CI/CD systems that automate deployment and validation across cloud environments</li>\n</ul>\n<ul>\n<li>Solid understanding of multi-region deployments, geographic routing, and global traffic management</li>\n</ul>\n<ul>\n<li>Proficiency in Python or Rust</li>\n</ul>\n<p>Salary Range: $300,000-$485,000 USD</p>\n<p>Experience Level: Staff</p>\n<p>Employment Type: Full-time</p>\n<p>Workplace Type: Hybrid</p>\n<p>Category: Engineering</p>\n<p>Industry: Technology</p>\n<p>Required Skills:</p>\n<ul>\n<li>High-performance, large-scale 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Our vision is to be the premier platform for businesses to transform themselves and their products with AI. This org is responsible for our APIs, self-serve developer experience, multi-cloud integrations, and agentic infrastructure. We serve a wide array of users from startups to large scale enterprises.</p>\n<p>Responsibilities:</p>\n<p>Customer Understanding &amp; Advocacy</p>\n<ul>\n<li>Deeply engage with enterprise developers and technical leaders to understand their integration needs and pain points</li>\n<li>Run regular feedback sessions and technical reviews with key enterprise customers</li>\n<li>Build strong relationships with enterprise development teams to understand their workflows and challenges</li>\n<li>Transform customer insights into actionable product requirements and priorities</li>\n</ul>\n<p>Product Strategy &amp; Vision</p>\n<ul>\n<li>Define and execute the enterprise API strategy, balancing security requirements with developer experience</li>\n<li>Develop a clear roadmap for enterprise API features including authentication, rate limiting, and compliance capabilities</li>\n<li>Identify and prioritize key enterprise integration patterns that drive organisational value</li>\n</ul>\n<p>Enterprise API Development</p>\n<ul>\n<li>Partner with engineering to build enterprise-grade API features, security controls, and deployment tools</li>\n<li>Design and implement enterprise integration frameworks and SDKs for common enterprise systems</li>\n<li>Drive development of industry-specific API features and compliance capabilities</li>\n</ul>\n<p>Cross-functional Leadership</p>\n<ul>\n<li>Partner with sales and customer success to understand enterprise requirements and support technical evaluations</li>\n<li>Work closely with security and compliance teams to meet enterprise standards</li>\n<li>Collaborate with platform teams on API architecture and scalability</li>\n<li>Engage with marketing to develop enterprise API positioning and technical materials</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 10+ years of experience in high-scale, high-reliability developer-facing software.</li>\n<li>Have 5+ years of product management experience.</li>\n<li>Have built or shipped products with a hyperscaler as a partner , you know how to align goals and deliver impact across that boundary.</li>\n<li>Have owned a revenue number, a margin target, or a channel P&amp;L , not just a product roadmap.</li>\n<li>Operate with high autonomy in ambiguous, fast-moving environments.</li>\n<li>Are an excellent written communicator and able to drive clarity out of complexity.</li>\n<li>Excel at cross-company stakeholder management and can build trusted relationships at every layer of an organisation.</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience as a founder, GM, or early-stage operator where you owned commercial outcomes, not just product outputs.</li>\n<li>Direct experience as a PM at AWS, GCP, or Azure , or at an ISV that ships through one of their marketplaces.</li>\n</ul>\n<p>The annual compensation range for this role is $305,000-$385,000 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<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. However, some roles may require more time in our offices.</li>\n<li>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.</li>\n</ul>\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. 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