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You&#39;ll solve the critical problem of how to modernize our brand and produce world-class creatives at scale, ensuring every visual builds trust with our users.</p>\n<p><strong>Key responsibilities:</strong></p>\n<ul>\n<li>Set the Vision: Define and execute the strategy to evolve our visual language from 2D to a premium, sophisticated 3D motion system that stands out.</li>\n</ul>\n<ul>\n<li>Architect the System: Design, document, and maintain a reusable motion/3D framework (rules, templates, primitives) that empowers other designers to produce consistent, high-quality work with speed and ease.</li>\n</ul>\n<ul>\n<li>Lead with Craft: Get hands on to create stunning 3D product animations, from modeling and lighting to the final render, for our key marketing touchpoints, setting the quality bar for the entire organization.</li>\n</ul>\n<ul>\n<li>Pioneer Smart Automation: Integrate AI powered tools and automated workflows into our creative process to eliminate repetitive manual work, allowing us to scale excellence, not just output.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Master of 3D craft: Expert level, hands on proficiency in modeling, shading, lighting, and rendering products with photorealistic materials and studio grade quality.</li>\n</ul>\n<ul>\n<li>Deep knowledge of premium motion: A portfolio that shows your experience in camera movement, timing, and easing to create calm, sophisticated motion without visual noise.</li>\n</ul>\n<ul>\n<li>Proven system-builder: You can define, document, and scale a reusable motion design system. You think in frameworks, not just one off projects.</li>\n</ul>\n<ul>\n<li>AI-first mindset: You possess a forward thinking approach to integrating AI workflows into the design process to boost efficiency and amplify creative quality.</li>\n</ul>\n<ul>\n<li>True ownership mentality: You&#39;re a proactive problem solver who can identify strategic gaps and build a structured plan to execute a creative vision.</li>\n</ul>\n<p><strong>Your space to perform</strong></p>\n<p>We give you the space and the tools you need to succeed</p>\n<ul>\n<li>Great, international colleagues who share your mindset</li>\n</ul>\n<ul>\n<li>Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.</li>\n</ul>\n<ul>\n<li>We support growth with bunq Academy and €1500 annual learning budget</li>\n</ul>\n<ul>\n<li>A massive discount with Urban Sports Club for your wellbeing (in the Netherlands)</li>\n</ul>\n<ul>\n<li>A Multisport gym card for your health and wellbeing (in Turkey)</li>\n</ul>\n<ul>\n<li>Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.</li>\n</ul>\n<ul>\n<li>Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ) (In Turkey and Netherlands)</li>\n</ul>\n<ul>\n<li>Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration</li>\n</ul>\n<ul>\n<li>We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.</li>\n</ul>\n<ul>\n<li>A MacBook so you can Get Shit Done with us</li>\n</ul>\n<ul>\n<li>Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options</li>\n</ul>\n<ul>\n<li>An optional pension plan with monthly contribution from bunq (in Netherlands)</li>\n</ul>\n<ul>\n<li>Private health insurance, just in case (in Turkey or Bulgaria)</li>\n</ul>\n<ul>\n<li>Monthly contribution to your phone and internet bills (in Turkey and Netherlands)</li>\n</ul>\n<ul>\n<li>Friday drinks and other celebrations - bunq style</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_12b2d8b6-d4c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/3d-motion-designer","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["3D modeling","Shading","Lighting","Rendering","Motion design","AI-powered tools","Automated workflows"],"x-skills-preferred":[],"datePosted":"2026-04-19T13:26:43.861Z","employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"3D modeling, Shading, Lighting, Rendering, Motion design, AI-powered tools, Automated workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9de1b371-f53"},"title":"Transaction Review Lead","description":"<p>We believe that a user-centric banking experience should always be underpinned by trust, compliance, and regulatory excellence.</p>\n<p>As a Transaction Review Lead, your mission is to strengthen our regulatory framework and ensure that our services meet local laws and global standards. Your efforts will play a vital role in safeguarding user trust and helping us deliver on our promise to Make Life Easy for our users.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Use data-driven approaches to prioritise, refine, and improve compliance models and processes without compromising efficiency</li>\n<li>Collaborate with key stakeholders (such as first-line teams, risk, and audit) and support the presentation, creation, development, and implementation of AML/CFT and Sanctions regulation requirements</li>\n<li>Ensure internal policies and guidelines are comprehensive, up-to-date, and adapted to comply with evolving local laws and regulations</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Previous experience in AML and KYC and within the financial services sector</li>\n<li>In-depth understanding of financial regulations, sanctions screening, and compliance auditing across multiple jurisdictions</li>\n<li>Exceptional communication skills in English, with the ability to translate complex regulations into actionable processes</li>\n<li>Strong attention to detail with the ability to successfully manage data and compliance processes using a solution-oriented mindset</li>\n<li>Proven experience leading teams in high-volume operational environments, ensuring efficiency and scalability</li>\n<li>Hands-on expertise in designing and managing AI-driven workflows that meet AML regulations</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great, international colleagues who share your mindset</li>\n<li>Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly</li>\n<li>We support growth with bunq Academy and €1500 annual learning budget</li>\n<li>A massive discount with Urban Sports Club for your wellbeing (in the Netherlands)</li>\n<li>A Multisport gym card for your health and wellbeing (in Turkey)</li>\n<li>Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle, including Multisport card, food and fuel vouchers and more</li>\n<li>Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ) (In Turkey and Netherlands)</li>\n<li>Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration</li>\n<li>We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.</li>\n<li>A MacBook so you can Get Shit Done with us</li>\n<li>Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options in the Netherlands and in Turkey and lunch allowance in Bulgaria</li>\n<li>An optional pension plan with monthly contribution from bunq (in Netherlands)</li>\n<li>Private health insurance, just in case (in Turkey or Bulgaria)</li>\n<li>Monthly contribution to your phone and internet bills (in Turkey and Netherlands)</li>\n<li>Friday drinks and other celebrations - bunq style</li>\n</ul>\n<p>All new hires are subject to Pre-employment Screening (PES), which includes checks conducted by our third-party partner, DISA. This is part of our commitment to a secure and trustworthy workplace</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_9de1b371-f53","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/transaction-review-lead-4","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AML","KYC","Financial regulations","Sanctions screening","Compliance auditing","Data-driven approaches","Solution-oriented mindset","AI-driven workflows"],"x-skills-preferred":[],"datePosted":"2026-04-19T13:26:29.873Z","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"AML, KYC, Financial regulations, Sanctions screening, Compliance auditing, Data-driven approaches, Solution-oriented mindset, AI-driven workflows"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_771f732e-6fb"},"title":"Head of Organic Growth","description":"<p>Ready to build the engine that drives bunq&#39;s future?</p>\n<p>We&#39;re not looking for a traditional SEO manager who just follows a playbook. We&#39;re looking for a strategic leader who lives and breathes AI-driven growth. Your mission is to build a sophisticated, self-improving organic growth engine, centered on our websites, that will become the primary driver of new users for bunq. This isn&#39;t about fragmented channels or theoretical strategy. It&#39;s about taking ownership of the entire organic ecosystem,from technical foundations to AI-powered content and conversion,and building a compounding flywheel that positions us to win the future of search.</p>\n<p>Take Ownership</p>\n<p>As our Head of Organic Growth, you are the architect of our website growth. You will:</p>\n<p>Bridge Strategy and Execution: You won&#39;t just create plans, you&#39;ll build the system. You are technically proficient enough to guide on-site optimization but strategic enough to design a cohesive, multi-year growth plan.</p>\n<p>Build a Closed Loop Website Growth Engine: Own the integration of our organic channels, focused exclusively on bunq.com and tricount.com. You will connect technical SEO, AI driven content, paid signals, and conversion optimization into a single, unified engine that learns from every interaction.</p>\n<p>Innovate Beyond the SEO Playbook: Move beyond outdated tactics. You will architect and implement a modern growth strategy that leverages AI for programmatic content, workflow automation, and preparing our web properties for the next generation of AI driven search.</p>\n<p>Lead a High-Performance, AI First Team: Lead, and scale a lean, high output team. Your focus is to 10x impact by replacing manual work with intelligent systems and clear frameworks, ensuring you deliver measurable results, not just reports.</p>\n<p><strong>Requirements</strong></p>\n<p>This challenge is for you if...</p>\n<p>You are a strategic doer, not just a manager or a technician. You have a history of building growth systems from the ground up.</p>\n<p>You think in systems, not just channels. You have proven expertise in designing AI driven growth loops that integrate SEO, content, and conversion into a compounding engine.</p>\n<p>You are a master of modern, website centric SEO strategy and are obsessed with technical excellence, structured data, and what it takes to win in an AI search world.</p>\n<p>You reject old playbooks and constantly seek innovative ways to drive growth, with a deep understanding of how AI is transforming organic discovery.</p>\n<p>You have a get shit done mentality and thrive on taking ownership, moving fast, and driving projects to completion in a high-performance environment.</p>\n<p>Curious to see how we make life easy? - try the bunq app, it only takes 5 minutes to sign up.</p>\n<p>Your space to perform</p>\n<p>We give you the space and the tools you need to succeed</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_771f732e-6fb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"bunq","sameAs":"https://careers.bunq.com","logo":"https://logos.yubhub.co/careers.bunq.com.png"},"x-apply-url":"https://careers.bunq.com/o/head-of-organic-growth-1","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI-driven growth","organic growth engine","technical SEO","AI powered content","conversion optimization"],"x-skills-preferred":["programmatic content","workflow automation","structured data"],"datePosted":"2026-04-19T13:26:03.983Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI-driven growth, organic growth engine, technical SEO, AI powered content, conversion optimization, programmatic content, workflow automation, structured data"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_90e98ed7-b06"},"title":"Analyst – Asset Based Finance","description":"<p>We are seeking an Analyst – Asset Based Finance to join our Trading department. As an Analyst – Asset Based Finance, you will work directly with Portfolio Managers to evaluate new opportunities for asset-based finance, asset based lending and corporate lending transactions. You will be responsible for financial and cash flow modelling of collateral from a broad spectrum of industries for suitability for asset-oriented facilities.</p>\n<p>Key responsibilities include: Preparing internal documentation to evaluate new opportunities, including pre-screens and final approval documentation. Supporting investment team members by gathering data on potential investment opportunities and developing recommendations. Collaborating with team members to develop, enhance and manage investment cash flow models that support scenario analysis and return objectives across a diverse and evolving set of asset classes. Drafting sections of investment memos and compiling reporting materials under supervision. 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Prioritisation.</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_90e98ed7-b06","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Strategic Management","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755955623024","x-work-arrangement":null,"x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["asset-based finance","asset based lending","corporate lending","cash flow modelling","financial modelling","portfolio management","prioritisation"],"x-skills-preferred":[],"datePosted":"2026-04-18T22:14:35.498Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas, Texas, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"asset-based finance, asset based lending, corporate lending, cash flow modelling, financial modelling, portfolio management, prioritisation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bd2d1b2-84f"},"title":"Senior Machine Learning Researcher","description":"<p>We are seeking a senior machine learning researcher to join our Core AI team.</p>\n<p>As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.</p>\n<p>You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.</p>\n<p>You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.</li>\n</ul>\n<ul>\n<li>Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.</li>\n</ul>\n<ul>\n<li>Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.</li>\n</ul>\n<ul>\n<li>Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.</li>\n</ul>\n<ul>\n<li>Research and stay updated with the latest advancements in machine learning and AI technologies.</li>\n</ul>\n<ul>\n<li>Participate in code reviews, technical discussions, and knowledge sharing sessions.</li>\n</ul>\n<ul>\n<li>Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.</li>\n</ul>\n<p>Required Skills &amp; Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s with 10+ years, Master&#39;s with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.</li>\n</ul>\n<ul>\n<li>Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.</li>\n</ul>\n<ul>\n<li>Hands-on experience with data processing, experimentation, and exploration.</li>\n</ul>\n<ul>\n<li>Strong programming skills in Python.</li>\n</ul>\n<ul>\n<li>Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills and attention to detail.</li>\n</ul>\n<ul>\n<li>Strong communication skills to collaborate with technical and non-technical stakeholders.</li>\n</ul>\n<ul>\n<li>Ability to work independently and collaboratively.</li>\n</ul>\n<p>Additional Preferred Skills &amp; Qualifications:</p>\n<ul>\n<li>Understanding of the financial markets, including experience with financial datasets, is strongly preferred.</li>\n</ul>\n<ul>\n<li>Experience with ML frameworks such as PyTorch, TensorFlow.</li>\n</ul>\n<ul>\n<li>Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.</li>\n</ul>\n<ul>\n<li>Previous experience working in an Agile environment.</li>\n</ul>\n<p>Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1bd2d1b2-84f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"IT - Artificial Intelligence","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954012324","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$175,000 to $250,000","x-skills-required":["Python","Machine Learning","NLP","GenAI","Agentic technologies","Data processing","Experimentation","Exploration","Cloud platforms (AWS, Azure, GCP)","Problem-solving skills","Communication skills"],"x-skills-preferred":["PyTorch","TensorFlow","MLOps practices and tools (SageMaker, MLflow, Airflow)","Agile environment"],"datePosted":"2026-04-18T22:14:27.951Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, NLP, GenAI, Agentic technologies, Data processing, Experimentation, Exploration, Cloud platforms (AWS, Azure, GCP), Problem-solving skills, Communication skills, PyTorch, TensorFlow, MLOps practices and tools (SageMaker, MLflow, Airflow), Agile environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":175000,"maxValue":250000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d96db681-39c"},"title":"Operations Control Specialist","description":"<p>We are building a specialized team within Operations focused on designing and implementing controls and analytics for trade surveillance and trade processing.</p>\n<p>The Operations Control Specialist will combine technical skills and business knowledge to build control metrics, dashboards, and automated checks on surveillance and trade data.</p>\n<p>This role offers exposure to products across multiple asset classes, trading platforms, exchange symbology, and global markets.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, implement, and automate reconciliations and health checks across large trade and surveillance datasets (e.g., OMS and upstream/downstream systems).</li>\n</ul>\n<ul>\n<li>Build monitoring dashboards and control indicators (metrics/KPIs) to validate that trades are correctly generated, routed, and reported.</li>\n</ul>\n<ul>\n<li>Develop and maintain data quality checks (completeness, accuracy, timeliness) and automated exception reporting for trade and alert data.</li>\n</ul>\n<ul>\n<li>Partner with Technology on system migrations and application redesign, defining control requirements and validating outcomes through testing and analytics.</li>\n</ul>\n<ul>\n<li>Support data governance efforts by identifying data issues, documenting data lineage, and contributing to standards for critical trade and surveillance data.</li>\n</ul>\n<ul>\n<li>Design and automate reporting using data analytics, automation, and AI-enabled tools to reduce manual processes and improve transparency.</li>\n</ul>\n<ul>\n<li>Collaborate with Operations, Compliance, and Middle Office stakeholders to understand workflows, refine control logic, and address issues identified by analytics.</li>\n</ul>\n<p>Qualifications &amp; 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Rankings & Recommendations (all genders)","description":"<p>Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers.</p>\n<p>You will join a cross-functional Product team, Search Intelligence, which is responsible for optimizing ranking and recommendations for users visiting our website.</p>\n<p>You&#39;ll be part of the broader Data Science team, which operates across cross-functional domain teams - giving you access to shared knowledge, best practices, and collaboration opportunities beyond your domain.</p>\n<p>You’ll collaborate daily with Data Engineers, Analysts, Product Managers, and Back-end Engineers.</p>\n<p>You’ll report to the Team Lead, Data Science.</p>\n<p>Together, we turn data into actionable insights and innovative technology that powers how millions of guests find and book their perfect holiday home.</p>\n<p><strong>Our Tech Stack</strong></p>\n<ul>\n<li>Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow</li>\n</ul>\n<p>The Ranking challenge at Holidu</p>\n<p>Holidu lists over 4 million vacation rental properties. 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How do we surface quality properties before we have behavioral data?</li>\n</ul>\n<p><strong>Your role in this journey</strong></p>\n<p>You&#39;ll shape the ranking and recommendation systems that millions of guests rely on to find their holiday home. With access to extensive datasets and modern ML infrastructure, you&#39;ll work end-to-end - from identifying opportunities and prototyping new approaches to shipping models to production and measuring their impact.</p>\n<ul>\n<li>Develop high-impact models and improvements for our ranking, recommendation, and personalization systems - with the freedom to explore new, creative approaches.</li>\n</ul>\n<ul>\n<li>Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.</li>\n</ul>\n<ul>\n<li>Design and run A/B tests as a core part of ranking development; success is measured by successful experiments per quarter and time-to-decision.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Product Managers and Software Engineers to identify, prioritize, and ship ranking improvements.</li>\n</ul>\n<ul>\n<li>Ensure model reliability in production, measured by online/offline agreement, model and data drift KPIs, latency and uptime SLAs, and automated monitoring coverage.</li>\n</ul>\n<ul>\n<li>Advance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.</li>\n</ul>\n<ul>\n<li>Demonstrate leadership in data science projects by driving technical direction, scoping initiatives, and guiding the team&#39;s prioritization and project execution.</li>\n</ul>\n<p><strong>Your backpack is filled with</strong></p>\n<ul>\n<li>5+ years of experience as a Data Scientist, with a proven track record of applying ML models to solve real business problems.</li>\n</ul>\n<ul>\n<li>Experience working on ranking models or recommender systems is a strong advantage.</li>\n</ul>\n<ul>\n<li>A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.</li>\n</ul>\n<ul>\n<li>Strong foundations in statistics, predictive modeling, and machine learning techniques, with hands-on experience using Python and SQL.</li>\n</ul>\n<ul>\n<li>Experience with Airflow and dbt is a plus.</li>\n</ul>\n<ul>\n<li>Solid understanding of business operations and the ability to translate data insights into clear, actionable outcomes.</li>\n</ul>\n<ul>\n<li>A collaborative mindset and enthusiasm for using data to build world-class products that make a real impact.</li>\n</ul>\n<ul>\n<li>AI Proficiency: You are comfortable using AI to enhance coding, planning, and monitoring. This includes successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.</li>\n</ul>\n<p><strong>Our adventure includes</strong></p>\n<ul>\n<li>Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.</li>\n</ul>\n<ul>\n<li>Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.</li>\n</ul>\n<ul>\n<li>Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. 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Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!</p>\n<p><strong>Want to travel with us?</strong></p>\n<p>Apply online on our careers page! 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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.</p>\n<p>You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</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_1d67909d-97e","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/4631848005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$240,450-$300,300 USD (San Francisco, New York, Seattle) $216,300-$269,850 USD (Washington DC, Texas, Colorado, Hawaii)","x-skills-required":["Python","TensorFlow","PyTorch","Computer Vision","Deep Learning","Reinforcement Learning","NLP","Algorithms","Data Structures","Object-Oriented Programming"],"x-skills-preferred":["Graduate Degree in CS, ML, or AI","Cloud Experience (AWS, GCP)","Model Deployment Experience"],"datePosted":"2026-04-18T16:00:58.976Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TensorFlow, PyTorch, Computer Vision, Deep Learning, Reinforcement Learning, NLP, Algorithms, Data Structures, Object-Oriented Programming, Graduate Degree in CS, ML, or AI, Cloud Experience (AWS, GCP), Model Deployment Experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216300,"maxValue":300300,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e38a1075-88d"},"title":"Staff Technical Product Manager","description":"<p>We&#39;re looking for a Staff Technical Product Manager to own critical product areas within Scale&#39;s Global Defense business, serving allied defense and national security customers. 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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; 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projects, scope, skillset, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cc75c6b0-4db","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://humanfrontiercollective.com/","logo":"https://logos.yubhub.co/humanfrontiercollective.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4661650005","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"contract","x-salary-range":null,"x-skills-required":["Python","PyTorch","TensorFlow","AWS","Docker","Langchain"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:39.412Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, TensorFlow, AWS, Docker, Langchain"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b68ff4cc-e74"},"title":"Data Engineer, Safeguards","description":"<p><strong>About the role</strong></p>\n<p>Anthropic is looking for a Data Engineer to join the Safeguards team and build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being.</p>\n<p>You&#39;ll design and build the data pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale. You&#39;ll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement.</p>\n<p>This is a high-impact role where your work will directly support Anthropic&#39;s mission to develop AI that is safe and beneficial.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows</li>\n<li>Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data</li>\n<li>Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes</li>\n<li>Collaborate with engineers to integrate data from multiple sources , including model outputs, user reports, and automated classifiers , into a unified analytical layer</li>\n<li>Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data</li>\n<li>Partner with research teams to surface data insights that inform model improvements and safety interventions</li>\n<li>Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently</li>\n<li>Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 3+ years of experience in data engineering, analytics engineering, or a related role</li>\n<li>Are proficient in SQL and Python, with experience building and maintaining ETL/ELT pipelines</li>\n<li>Have hands-on experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks</li>\n<li>Have worked with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)</li>\n<li>Are comfortable building dashboards and data visualizations using tools like Looker, Tableau, or Metabase</li>\n<li>Communicate clearly and can translate complex data concepts for both technical and non-technical audiences</li>\n<li>Are results-oriented, flexible, and willing to pick up slack even when it falls outside your job description</li>\n<li>Care about the societal impacts of AI and are motivated by safety work</li>\n</ul>\n<p><strong>Strong candidates may have:</strong></p>\n<ul>\n<li>Experience with trust &amp; safety, integrity, fraud, or abuse detection data systems</li>\n<li>Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)</li>\n<li>Built data infrastructure that supports ML model monitoring or evaluation</li>\n<li>A background in statistical analysis, or experience collaborating closely with data scientists</li>\n<li>Developed internal tooling or self-service analytics platforms</li>\n</ul>\n<p><strong>Strong candidates need not have:</strong></p>\n<ul>\n<li>A formal degree in Computer Science or a related field , we value practical experience and demonstrated ability over credentials</li>\n<li>Prior experience in AI or machine learning , you&#39;ll learn the domain-specific context on the job</li>\n<li>Previous experience at an AI safety or research organization</li>\n<li>Deep expertise across every tool listed above , familiarity with a subset and a willingness to learn is enough</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. 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><strong>How we&#39;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. 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. 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><strong>Come work with us!</strong></p>\n<p>Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b68ff4cc-e74","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/5156057008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"£170,000-£220,000 GBP","x-skills-required":["SQL","Python","ETL/ELT pipelines","dbt","Airflow","Spark","cloud data platforms","BigQuery","Redshift","Snowflake","Looker","Tableau","Metabase"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:33.960Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, ETL/ELT pipelines, dbt, Airflow, Spark, cloud data platforms, BigQuery, Redshift, Snowflake, Looker, Tableau, Metabase","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dab43521-cfa"},"title":"Software Engineer, Robotics & Autonomous Systems","description":"<p>In this role, you&#39;ll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and systems for robotics data collection, teleoperation, and model evaluation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Building real-time systems for robotic control, sensor fusion, and perception pipelines</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data 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systems"],"datePosted":"2026-04-18T15:59:33.174Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, React, C++, ROS/ROS2, simulation environments, AV systems, distributed systems, workflow orchestration, cloud infrastructure, databases, data processing, robotics hardware platforms, computer vision, SLAM, motion planning, imitation learning, autonomous vehicle data, lidar technologies, 3D data processing, ML model deployment, serving frameworks, teleoperation systems, VR interfaces, workflow orchestration systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":180000,"maxValue":225000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d6fc00c5-564"},"title":"Software Engineer, Robotics","description":"<p>We&#39;re seeking a skilled Software Engineer to join our Robotics business unit, focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. 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. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.</p>\n<p>We&#39;re looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.</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_d6fc00c5-564","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/4612282005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript/Node.js","React","Concurrent and real-time systems","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing at large scale"],"x-skills-preferred":["C++","Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment and serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:59:19.712Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Argentina; Uruguay"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript/Node.js, React, Concurrent and real-time systems, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing at large scale, C++, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment and serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f6f3674-ac6"},"title":"Director, Enterprise Machine Learning & Research","description":"<p>The Enterprise ML team at Scale works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale&#39;s proprietary research, data, and infrastructure.</p>\n<p>As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.</p>\n<p>This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives</li>\n<li>Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution</li>\n<li>Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes</li>\n<li>Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally</li>\n<li>Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent</li>\n</ul>\n<p>Core qualifications include:</p>\n<ul>\n<li>8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains</li>\n<li>A strong track record of research excellence, including publications in top-tier ML/AI venues</li>\n<li>Experience leading or managing research teams</li>\n<li>Excellent written and verbal communication skills</li>\n</ul>\n<p>Nice-to-have qualifications include:</p>\n<ul>\n<li>Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments</li>\n<li>Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale</li>\n<li>Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes</li>\n</ul>\n<p>Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0f6f3674-ac6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4679727005","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$289,800-$362,250 USD","x-skills-required":["machine learning","deep learning","generative models","agent/RL systems","research leadership","team management","communication","public speaking","writing","open-source contributions"],"x-skills-preferred":["hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments","prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale","proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes"],"datePosted":"2026-04-18T15:59:19.457Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, deep learning, generative models, agent/RL systems, research leadership, team management, communication, public speaking, writing, open-source contributions, hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale, proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":289800,"maxValue":362250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e531ea80-a7c"},"title":"Security Risk & Compliance, HIPAA","description":"<p><strong>About the Role</strong></p>\n<p>As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers, and industry norms. The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Operate Anthropic&#39;s HIPAA compliance review program, executing on HIPAA obligations across the product portfolio.</li>\n<li>Run a dedicated HIPAA review track in parallel with the Product Security Review (PSR) process, applying compliance checklist to every in-scope change and recording a complete, auditable disposition before release.</li>\n<li>Build and maintain change monitoring mechanisms to catch HIPAA-relevant changes , including default setting changes and incremental updates.</li>\n<li>Partner with product and engineering teams upstream to ensure HIPAA considerations are built into first releases rather than addressed as post-launch remediations.</li>\n<li>Assess and document PHI data flows, infrastructure boundaries, and control coverage across Anthropic&#39;s cloud-native product environments.</li>\n<li>Write, update, and enact HIPAA policies, checklists, deployment guides, and audit evidence packages.</li>\n<li>Manage Business Associate Agreement (BAA) obligations and coordinate with legal and external counsel on PHI determination questions and emerging regulatory requirements.</li>\n<li>Contribute to Anthropic&#39;s broader compliance program, including adjacent frameworks (SOC 2, ISO 27001, NIST 800-53) where they intersect with HIPAA obligations.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3+ years of progressive experience in compliance roles, including direct ownership of a HIPAA compliance program at a technology company</li>\n<li>Evaluated PHI data flows and infrastructure boundaries in cloud-native environments (AWS, GCP, or Azure) and can assess HIPAA exposure without always needing to escalate to legal</li>\n<li>Designed and operated a compliance review mechanism integrated into a product development or release process</li>\n<li>Translate HIPAA technical compliance requirements into actionable workstreams for engineering and product teams</li>\n<li>Deliver clear, precise compliance documentation , policies, checklists, audit evidence, deployment guides , for both technical and non-technical audiences</li>\n<li>Thrive in fast-paced, ambiguous environments where you&#39;re expected to build processes from scratch and keep them working under rapid product change</li>\n<li>Energized by being the organizational expert who educates and influences rather than only advises</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Worked in AI/ML or developer-platform companies and understand the unique challenges of PHI exposure in model inference and API environments</li>\n<li>HITRUST CSF experience or experience mapping HIPAA requirements to HITRUST controls</li>\n<li>Implemented or significantly contributed to compliance automation or GRC tooling integrations</li>\n<li>Relevant certifications (CHPC, HCISPP, CISA, CISM, CISSP, or equivalent)</li>\n</ul>\n<p><strong>What We Offer</strong></p>\n<ul>\n<li>Annual compensation range: $255,000-$255,000 USD</li>\n<li>Minimum education: Bachelor&#39;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><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our website. 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 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_e531ea80-a7c","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/5160757008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$255,000-$255,000 USD","x-skills-required":["HIPAA compliance","compliance review program","change monitoring mechanisms","PHI data flows","infrastructure boundaries","control coverage","Business Associate Agreement","legal and external counsel","compliance program"],"x-skills-preferred":["AI/ML","developer-platform","HITRUST CSF","compliance automation","GRC tooling integrations","relevant certifications"],"datePosted":"2026-04-18T15:59:18.315Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"HIPAA compliance, compliance review program, change monitoring mechanisms, PHI data flows, infrastructure boundaries, control coverage, Business Associate Agreement, legal and external counsel, compliance program, AI/ML, developer-platform, HITRUST CSF, compliance automation, GRC tooling integrations, relevant certifications","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":255000,"maxValue":255000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5aa5b947-f4d"},"title":"Staff Machine Learning Research Scientist/ Engineer, Agents","description":"<p>About Scale AI</p>\n<p>At Scale AI, our mission is to accelerate the development of AI applications. This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation.</li>\n<li>Contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.</li>\n<li>A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.).</li>\n<li>At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.</li>\n<li>Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.</li>\n<li>Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.</li>\n<li>Familiarity with agentic reasoning methods such as STaR and PLANSEARCH</li>\n<li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$259,200-$324,000 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_5aa5b947-f4d","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/4488520005","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$259,200-$324,000 USD","x-skills-required":["Pytorch","Jax","Tensorflow","LLMs","Agent frameworks","Agentic reasoning methods","Cloud technology stack"],"x-skills-preferred":["Open source LLM fine-tuning","Bespoke LLM fine-tuning projects"],"datePosted":"2026-04-18T15:59:17.656Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Pytorch, Jax, Tensorflow, LLMs, Agent frameworks, Agentic reasoning methods, Cloud technology stack, Open source LLM fine-tuning, Bespoke LLM fine-tuning projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":259200,"maxValue":324000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb1f459e-b3a"},"title":"Machine Learning Research Scientist / Engineer, Reasoning","description":"<p>About Scale</p>\n<p>At Scale, our mission is to accelerate the development of AI applications. We&#39;re looking for a Machine Learning Research Scientist/Engineer to join our team and help us shape the future of AI.</p>\n<p>This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning.</p>\n<p>Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents</li>\n<li>Shape Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning</li>\n<li>Contribute to impactful research on language model reasoning</li>\n<li>Collaborate with external researchers</li>\n<li>Work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow</li>\n<li>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.)</li>\n<li>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning</li>\n<li>Strong written and verbal communication skills, along with the ability to work effectively across teams</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX</li>\n<li>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents</li>\n<li>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar</li>\n<li>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH</li>\n<li>Proficiency in cloud-based ML development, with experience in AWS or GCP environments</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$252,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fb1f459e-b3a","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/4605596005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["PyTorch","JAX","TensorFlow","Large Language Models (LLMs)","Planning Algorithms","Agentic Reasoning","Data Generation","Model Interaction","Evaluation"],"x-skills-preferred":["Agent Frameworks","Cloud-Based ML Development","AWS","GCP","STaR","PLANSEARCH"],"datePosted":"2026-04-18T15:59:07.207Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, JAX, TensorFlow, Large Language Models (LLMs), Planning Algorithms, Agentic Reasoning, Data Generation, Model Interaction, Evaluation, Agent Frameworks, Cloud-Based ML Development, AWS, GCP, STaR, PLANSEARCH","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_76c9a01c-58a"},"title":"Data Center Portfolio Planning & Execution Lead","description":"<p>We&#39;re looking for a Data Center Portfolio Planning &amp; Execution Lead to drive the planning and framework that ensures every site moves smoothly from the front-end phases through design, construction, equipment delivery, commissioning, and operational readiness.</p>\n<p>This role owns the portfolio-level operating system: translating capacity supply pipeline into integrated project plans that span every phase of delivery, building the tooling and automation that runs it at scale, and maintaining Anthropic&#39;s datacenter capacity catalog , a lifecycle view of our fleet that supports both execution orchestration and steady-state capacity planning.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Manage the integrated master plan for each site across the portfolio , stitching power ramp, design, construction, sourcing, deployment, and operations readiness into a single coordinated schedule with clear milestones and dependencies</li>\n<li>Develop and maintain Anthropic&#39;s datacenter catalog for deployed and in-progress capacity. Manage the portfolio-level view of physical infrastructure &amp; cluster interfaces across all sites and partners to enable planning decisions such as equipment fungibility, accelerator platforms, tech insertion, or workload allocation</li>\n<li>Define and run the stage gates and decision locks for cluster delivery , from lease execution to design lock through procurement, construction, equipment installation, commissioning, and handover</li>\n<li>Drive gate reviews, manage exceptions, and track the downstream impact of deviations across the portfolio</li>\n<li>Manage portfolio reviews and risk tracking for DC Infra leadership and Compute Supply</li>\n</ul>\n<p>Tooling &amp; process:</p>\n<ul>\n<li>Develop tooling and automation to enable cross-functional planning flow-down from datacenter capacity availability dates</li>\n<li>Partner with Design, Supply Chain, Construction, and DC Ops program leads to drive cross-pillar process improvements as portfolio scales</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Are familiar with the full datacenter buildout lifecycle: pipeline → design → sourcing → construction → Cx → deployment</li>\n<li>Have run integrated portfolio or master-schedule planning across a fleet of capital projects (datacenter, energy, fab, or similar) where multiple functional orgs each own a phase</li>\n<li>Have built a stage-gate or decision-lock system from scratch and gotten functional leads to adopt it</li>\n<li>Have re-architected a deployment or delivery process at scale and can point to the cycle-time or throughput result</li>\n<li>Build the tooling yourself using AI-assisted development , stand up planning dashboards, schedule automation, and data pipelines from Smartsheet/P6/partner systems</li>\n<li>Proactively surface schedule risk across functions , comfortable flagging a problem in someone else&#39;s domain before it becomes a slip</li>\n<li>Track record of driving outcomes through influence with cross-functional partners</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience building a portfolio planning and execution function from scratch at a hyperscaler or large industrial owner</li>\n<li>Exposure to capacity planning or S&amp;OP processes that connect demand forecast to physical build</li>\n<li>Experience product-managing internal planning, workflow, or scheduling systems</li>\n</ul>\n<p>The annual compensation range for this role is $365,000-$485,000 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_76c9a01c-58a","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/5188939008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$365,000-$485,000 USD","x-skills-required":["data center portfolio planning","execution lead","portfolio-level operating system","capacity supply pipeline","integrated project plans","tooling and automation","datacenter capacity catalog","lifecycle view of fleet","execution orchestration","steady-state capacity planning","stage gates","decision locks","cluster delivery","lease execution","design lock","procurement","construction","equipment installation","commissioning","handover","cross-functional planning","flow-down","datacenter capacity availability dates","cross-pillar process improvements","AI-assisted development","planning dashboards","schedule automation","data pipelines","Smartsheet","P6","partner systems","schedule risk","cross-functional partners","portfolio planning","execution function","hyperscaler","large industrial owner","capacity planning","S&OP processes","demand forecast","physical build","internal planning","workflow","scheduling systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:03.702Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data center portfolio planning, execution lead, portfolio-level operating system, capacity supply pipeline, integrated project plans, tooling and automation, datacenter capacity catalog, lifecycle view of fleet, execution orchestration, steady-state capacity planning, stage gates, decision locks, cluster delivery, lease execution, design lock, procurement, construction, equipment installation, commissioning, handover, cross-functional planning, flow-down, datacenter capacity availability dates, cross-pillar process improvements, AI-assisted development, planning dashboards, schedule automation, data pipelines, Smartsheet, P6, partner systems, schedule risk, cross-functional partners, portfolio planning, execution function, hyperscaler, large industrial owner, capacity planning, S&OP processes, demand forecast, physical build, internal planning, workflow, scheduling systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":365000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28d86251-85e"},"title":"Senior Data Analyst, Marketing Analytics","description":"<p>As a Senior Data Analyst, Marketing Analytics at GitLab, you&#39;ll serve as a strategic analytics partner to Marketing leadership and help shape how we measure, model, and improve marketing performance.</p>\n<p>Reporting to the Senior Manager of Marketing Analytics, you&#39;ll take ownership of high-impact analytical work across attribution, inbound funnel analysis, target setting, and campaign measurement.</p>\n<p>You&#39;ll work across the full data lifecycle, from building and maintaining dbt models in Snowflake that power business intelligence, to delivering executive-ready insights, to partnering cross-functionally to support important business decisions.</p>\n<p>In this role, you&#39;ll use a modern analytics and AI-enabled workflow that includes Snowflake, Claude with MCP connections, and GitLab Duo Agent Platform in git-based team workflows.</p>\n<p>This is a high-visibility role for someone with strong SQL skills, sound judgment in B2B software marketing analytics, and the ability to turn complex data into clear stories for senior stakeholders in our all-remote, values-driven environment.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Serve as a trusted advisor to senior Marketing and Developer Relations leaders, providing data-driven insights that inform marketing strategy, product development, and go-to-market decisions.</li>\n</ul>\n<ul>\n<li>Establish and scale proactive insights across the Marketing function, including experimentation and connecting marketing credit from initial touchpoints to annual recurring revenue.</li>\n</ul>\n<ul>\n<li>Measure the impact of community programs, developer advocacy, and evangelism efforts on awareness, adoption, and pipeline.</li>\n</ul>\n<ul>\n<li>Evaluate the effectiveness of demand generation programs, including trial conversion analysis across segments, lead scoring optimization, and outreach platform performance.</li>\n</ul>\n<ul>\n<li>Partner closely with Analytics Engineering and Data Platform teams to translate business questions into clear technical requirements and support reliable delivery in the analytics stack.</li>\n</ul>\n<ul>\n<li>Help evolve GitLab&#39;s multi-touch attribution approach, including attributed metric definitions and implementation across reporting.</li>\n</ul>\n<ul>\n<li>Contribute to annual planning cycles through partnership with Sales, Finance, and Product leadership.</li>\n</ul>\n<ul>\n<li>Use AI-enabled analytics workflows through GitLab Duo Agent Platform, Claude with MCP integrations, and Glean within GitLab to improve how insights are developed and shared.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>5+ years of experience in a data analyst or analytics engineer role, preferably in B2B software marketing analytics or in a large-scale analytics consultancy supporting similar companies.</li>\n</ul>\n<ul>\n<li>Strong proficiency in SQL, including the ability to connect disparate data sources and build a clear view of marketing program performance in a cloud data warehouse, ideally Snowflake.</li>\n</ul>\n<ul>\n<li>Experience working with senior leaders and tailoring data-driven narratives to support decision-making.</li>\n</ul>\n<ul>\n<li>Hands-on experience with dbt for data transformation, testing, and documentation.</li>\n</ul>\n<ul>\n<li>Strong understanding of B2B marketing funnel metrics, including marketing qualified leads, sales accepted opportunities, pipeline, multi-touch attribution, and conversion rate analysis.</li>\n</ul>\n<ul>\n<li>Experience working with marketing automation platforms such as Marketo and customer relationship management systems such as Salesforce, including data integration patterns and sync logic.</li>\n</ul>\n<ul>\n<li>Proficiency with a business intelligence and visualization tool, with Tableau preferred.</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, with the ability to distill complex analysis into clear narratives for technical and non-technical 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As a key contributor, you&#39;ll build production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You&#39;ll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>\n<li>Building ML training and fine-tuning pipelines using Scale&#39;s robotics data</li>\n<li>Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>\n<li>Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation</li>\n<li>Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>\n<li>Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>3+ 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</li>\n<li>Strong programming skills in Python and TypeScript/Node.js for production systems</li>\n<li>Experience with React and modern frontend development for 3D interfaces</li>\n<li>Concurrent and real-time systems, with special attention to timing constraints</li>\n<li>Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)</li>\n<li>Experience with databases (MongoDB, PostgreSQL) and data processing at large scale</li>\n<li>Track record of working with cross-functional teams including ML engineers, researchers, and customers</li>\n<li>Strong communication skills and ability to operate with high autonomy</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with C++</li>\n<li>Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization</li>\n<li>Background in computer vision, SLAM, motion planning, or imitation learning</li>\n<li>Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing</li>\n<li>Experience with ML model deployment and serving frameworks</li>\n<li>Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces</li>\n<li>Experience with workflow orchestration systems (Temporal, Airflow)</li>\n<li>Published research or open-source contributions in robotics or autonomous systems</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ef6605f2-fe0","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/4655050005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","Node.js","C++","React","Distributed systems","Workflow orchestration","Cloud infrastructure","Databases","Data processing"],"x-skills-preferred":["Robotics hardware platforms","Computer vision","SLAM","Motion planning","Imitation learning","Autonomous vehicle data","Lidar technologies","3D data processing","ML model deployment","Serving frameworks","Teleoperation systems","VR interfaces","Workflow orchestration systems"],"datePosted":"2026-04-18T15:58:47.535Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, Node.js, C++, React, Distributed systems, Workflow orchestration, Cloud infrastructure, Databases, Data processing, Robotics hardware platforms, Computer vision, SLAM, Motion planning, Imitation learning, Autonomous vehicle data, Lidar technologies, 3D data processing, ML model deployment, Serving frameworks, Teleoperation systems, VR interfaces, Workflow orchestration systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c681a3c3-626"},"title":"Technical Support Engineer (London, United Kingdom)","description":"<p>We are looking for a Technical Support Engineer to join our Product Support team. As a Technical Support Engineer, you will be responsible for troubleshooting complex bugs and working closely with internal teams to elevate the Figma experience for all customers.</p>\n<p>You will deliver the kind of experiences that build trust throughout the Figma community, from customers to key internal partners such as Product and Engineering. We are looking for a Technical Support Engineer who will advocate for quality improvements that enable great end-to-end experiences for the people and businesses using Figma.</p>\n<p>The ideal candidate will have a technical troubleshooting background, be comfortable collaborating in a fast-paced and often ambiguous environment, and demonstrate leadership, technical competence, and a passion for quality.</p>\n<p>This role will be a full-time position, contracted working schedule is Saturday to Wednesday based from our London, UK hub.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop expertise in Figma&#39;s products and customer journeys, from Product Designers to Developers, to accurately diagnose sophisticated bugs</li>\n<li>Interact with Figma customers daily via support channels such as chat, email, or video calls, taking ownership over complex problems</li>\n<li>Contribute to social support efforts by engaging with customers and users on social media and community platforms</li>\n<li>Own end-to-end troubleshooting of complex technical issues as the primary point of contact, partnering with Engineering and Product to report bugs, drive resolution, and maintain clear, proactive communication to improve customer satisfaction</li>\n<li>Adapt to supporting customers across multiple products, including assisting with billing and account management issues as needed. 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You can translate complex concepts into concise explanations and summarize customer issues to technical and non-technical audiences</li>\n<li>Resilience and adaptability, you’re motivated by experimentation, building, and collaborating both within and beyond your team, and remain confident through times of change and ambiguity</li>\n<li>Hands-on experience debugging REST APIs, OAuth authentication flows, and third-party plugins or integrations</li>\n<li>Working knowledge of React and core web technologies (JavaScript/TypeScript, HTML, CSS)</li>\n<li>Ability to diagnose complex issues end to end and clearly explain troubleshooting approach and technical reasoning</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Experience working with design tools like Figma, Adobe Suite, Sketch, Framer</li>\n<li>Ability to read and write Spanish, Portuguese, Japanese, Korean, German, or French</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’re excited about this role but your past experience doesn’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>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law.</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_c681a3c3-626","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/5708436004","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["troubleshooting","debugging","REST APIs","OAuth authentication flows","third-party plugins or integrations","React","core web technologies","JavaScript","TypeScript","HTML","CSS"],"x-skills-preferred":["design tools","Figma","Adobe Suite","Sketch","Framer","Spanish","Portuguese","Japanese","Korean","German","French"],"datePosted":"2026-04-18T15:58:42.224Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"troubleshooting, debugging, REST APIs, OAuth authentication flows, third-party plugins or integrations, React, core web technologies, JavaScript, TypeScript, HTML, CSS, design tools, Figma, Adobe Suite, Sketch, Framer, Spanish, Portuguese, Japanese, Korean, German, French"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_edaa2bc6-0fe"},"title":"Senior Gameplay Programmer","description":"<p>Our mission at Duolingo is to develop the best education in the world and make it universally available.</p>\n<p>We&#39;re looking for a Senior Gameplay Programmer with a Unity background to help us implement our new music course. 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Your goal is to eliminate fragmentation and enable every function to move faster by deploying internal AI agents that reduce manual work and surface actionable insights.</p>\n<p>Key Responsibilities</p>\n<ul>\n<li>Enterprise Application Strategy: Own the full lifecycle of our application ecosystem, including ERP (Finance), CRM (GTM), HRIS (People), and specialized AI tools. Ensure these systems converge into a secure, scalable backbone.</li>\n</ul>\n<ul>\n<li>AI Agent Deployment: Identify opportunities to replace manual workflows with AI/LLM-powered agents. Build and manage &#39;internal agents&#39; that automate forecasting, revenue capture, and employee self-service.</li>\n</ul>\n<ul>\n<li>Cross-Functional Partnership: Serve as the primary technology partner to the leadership team. Align system roadmaps with departmental goals to ensure seamless data flow from production to the back office.</li>\n</ul>\n<ul>\n<li>Operational Excellence: Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements.</li>\n</ul>\n<ul>\n<li>Team Leadership: Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity.</li>\n</ul>\n<p>Ideally, you have:</p>\n<ul>\n<li>10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment.</li>\n</ul>\n<ul>\n<li>Technical Depth: Strong functional understanding of Salesforce (or equivalent CRM), NetSuite (or equivalent ERP), and Workday (or equivalent HRIS).</li>\n</ul>\n<ul>\n<li>AI/Automation Mindset: Proven track record of designing and deploying AI/LLM-powered workflows or agentic systems to improve business efficiency.</li>\n</ul>\n<ul>\n<li>Architecture Skills: Ability to design scalable data flows and APIs that link disparate SaaS tools into a cohesive ecosystem.</li>\n</ul>\n<ul>\n<li>Stakeholder Mastery: Experience influencing C-level executives and translating complex technical needs into business outcomes.</li>\n</ul>\n<ul>\n<li>Skilled in Python or SQL to personally audit or prototype automation logic.</li>\n</ul>\n<ul>\n<li>Extensive experience and In-depth knowledge of the functionality of the ERP modules with emphasis on Sales – Order to Cash &amp; Sales Audit, Purchasing – Direct &amp; Indirect and Finance - General Ledger, AP &amp; AR, Procure to Pay, Sales Audit, Fixed Assets, International Consolidations &amp; Reporting.</li>\n</ul>\n<ul>\n<li>Experience with GTM systems such as, HubSpot, Outreach, Clari, CPQ (e.g., Salesforce CPQ), and similar tools.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>The base salary range for this full-time position in the location of San Francisco is: $235,200-$294,000 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_b02d4cf4-599","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/4657910005","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$235,200-$294,000 USD","x-skills-required":["Salesforce","NetSuite","Workday","Python","SQL","AI/LLM-powered workflows","Scalable data flows","APIs","Disparate SaaS tools","C-level executives","Business outcomes","ERP modules","GTM systems","HubSpot","Outreach","Clari","CPQ"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:33.977Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Salesforce, NetSuite, Workday, Python, SQL, AI/LLM-powered workflows, Scalable data flows, APIs, Disparate SaaS tools, C-level executives, Business outcomes, ERP modules, GTM systems, HubSpot, Outreach, Clari, CPQ","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":235200,"maxValue":294000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4f808d6c-a4e"},"title":"Machine Learning Research Engineer, GenAI Applied ML","description":"<p><strong>About This Role</strong></p>\n<p>Lead applied ML engineering on Scale&#39;s Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and deploy multi-agent systems for agentic reasoning validation</li>\n<li>Develop pipelines to detect errors and scale human judgment</li>\n<li>Combine classical ML, LLMs, and multi-agent techniques for reliability</li>\n<li>Lead research into agent failure modes and ship fixes</li>\n<li>Use AI tools to speed prototyping and iteration</li>\n<li>Build data-driven evaluations and deploy rapid improvements</li>\n<li>Integrate systems into Scale&#39;s platform</li>\n</ul>\n<p><strong>Ideal Candidate</strong></p>\n<ul>\n<li>PhD or MSc in Computer Science, Mathematics, Statistics, or related field</li>\n<li>3+ years shipping scaled production ML systems</li>\n<li>Demonstrated real-world impact</li>\n<li>Mastery of PyTorch, TensorFlow, JAX, or scikit-learn</li>\n<li>Deep expertise in agentic LLMs and multi-agent systems</li>\n<li>Strong software engineering and microservices (AWS/GCP)</li>\n<li>Rapid, data-driven iteration</li>\n<li>Proficiency using AI tools to accelerate work</li>\n<li>Strong research depth with practical bias</li>\n<li>Excellent cross-functional communication</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience prototyping agent evaluation/reliability systems</li>\n<li>Human-in-the-loop or annotation pipeline work</li>\n<li>Open-source contributions in agents, evaluation, or alignment</li>\n<li>Publications on agent reliability (NeurIPS, ICML, ICLR)</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&#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><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4f808d6c-a4e","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/4490301005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,600-$237,000 USD","x-skills-required":["PyTorch","TensorFlow","JAX","scikit-learn","Agentic LLMs","Multi-agent systems","Software engineering","Microservices","Data-driven iteration","AI tools"],"x-skills-preferred":["Experience prototyping agent evaluation/reliability systems","Human-in-the-loop or annotation pipeline work","Open-source contributions in agents, evaluation, or alignment","Publications on agent reliability"],"datePosted":"2026-04-18T15:58:33.354Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, TensorFlow, JAX, scikit-learn, Agentic LLMs, Multi-agent systems, Software engineering, Microservices, Data-driven iteration, AI tools, Experience prototyping agent evaluation/reliability systems, Human-in-the-loop or annotation pipeline work, Open-source contributions in agents, evaluation, or alignment, Publications on agent reliability","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_e02069ef-36a"},"title":"Member of Technical Staff (Storage)","description":"<p><strong>Job Title: Member of Technical Staff (Storage)</strong></p>\n<p>We&#39;re looking for a talented software engineer to join our Storage team at Cockroach Labs. As a member of our team, you will contribute to the growth of CockroachDB by bringing your expertise and commitment to excellence to help build a database that makes data easy for everyone.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop in Go, but if you don&#39;t know it, you&#39;ll learn while you&#39;re here.</li>\n<li>Improve the performance of CockroachDB.</li>\n<li>Work closely with other engineers and product managers across both the cloud and database teams.</li>\n<li>Work in an environment in which access to state-of-the-art AI-assisted planning and development is provided.</li>\n<li>Take part in a collaborative culture and exchange knowledge with a highly experienced technical organization.</li>\n<li>Ensure that CockroachDB remains scalable, survivable, and consistent as we continue to grow as a company.</li>\n</ul>\n<p><strong>Expectations</strong></p>\n<p>In your first 30 days, you will become an integrated member of our engineering team. You’ll spend time learning about the Storage team’s domain, processes and people, as well as learning about CockroachDB and CockroachDB Cloud. After 3 months, you will be fully integrated into the team and comfortable contributing to the Storage team’s execution in partnership with Product and Design. After 6 months, you’ll be fully integrated into the Storage team and have a deep understanding of the tech stack and other areas of the Engineering organization.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Experience working on complex technical products and have exposure to distributed systems, concurrency control, file systems, data replication, or memory management.</li>\n<li>Comfort using programming languages like Go, C/C++, Java, and Python. 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Based in Seattle with his family, Andy enjoys hiking, playing badminton, and spending quality time with his children outside of work.</p>\n<p>Jordan Lewis - VP of Engineering</p>\n<p>Jordan is the Head of Engineering for Cockroach Labs. He’s responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs’ most demanding customer base. He joined Cockroach Labs as a Database Engineer in 2016 when it was just 25 people before moving into engineering leadership leading the Global Engineering organization. Jordan lives in his hometown of Brooklyn NY with his wife. 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Over time, you&#39;ll also identify and drive improvements to the systems and workflows you operate in , embedding approved deal structures into Salesforce, improving CPQ configurations, and helping build the operational infrastructure that lets a lean team support enterprise deal volume at scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Quarterback deals through internal processes , CPQ quote-building, approval routing, contract execution , ensuring accurate, timely completion</li>\n<li>Own Anthropic’s deal-making execution processes, ensuring that all commercial workflows can seamlessly navigate internal processes</li>\n<li>Build AI-native tooling with internal teams to meaningfully scale our commercial processes</li>\n<li>Optimise operational workflows that reduce friction in the sales cycle and accelerate time-to-close</li>\n<li>Act as the bridge between Sales and supporting teams, maintaining contract and compliance management systems and ensuring agreement terms align with company standards</li>\n<li>Maintain visibility on high-priority deals, providing appropriate escalation paths when commercial terms require executive input</li>\n<li>Collaborate with Legal teams to validate that agreements reflect the correct commercial intent and approvals</li>\n<li>Track and analyse deal patterns to identify bottlenecks and propose data-driven improvements to our sales operations</li>\n<li>Maintain and improve deal documentation: approval policies, pricing guidelines, SKU guidance, and process playbooks</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>Have 3+ years of experience in deal desk, sales strategy, commercial operations, or related roles, preferably in a high-growth technology environment</li>\n<li>Are comfortable both executing within existing systems (CPQ, SFDC, contract platforms) and improving those systems as you go</li>\n<li>Bring a detail-oriented, process-improvement mindset: you notice when something is manual or error-prone and you want to fix it</li>\n<li>Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments</li>\n<li>Strong project management skills with experience juggling multiple critical initiatives</li>\n<li>Bias toward action and comfort operating in ambiguity</li>\n<li>Have experience with CRM systems, CPQ tools, and contract management platforms</li>\n<li>Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Experience with Salesforce, CPQ tools (Nue, Apttus, Steelbrick), or contract management platforms (Ironclad, Docusign CLM)</li>\n<li>Background in project management, sales strategy, or commercial operations, where you’ve balanced operational excellence with building scaled systems</li>\n<li>Experience with deal operations at companies with subscription and/or consumption-based business models</li>\n<li>Knowledge of enterprise software contract terms and industry-standard commercial practices</li>\n<li>Understanding of AI business models and the unique commercial considerations</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_439d1407-722","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/5153390008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["CPQ","Contract Management","Salesforce","CRM Systems","Project Management","Communication","Stakeholder Management","Process Improvement","Detail-Oriented"],"x-skills-preferred":["Sales Strategy","Commercial Operations","Deal Desk","AI-Native Tooling","Operational Workflows","Contract and Compliance Management","Data Analysis","Deal Documentation"],"datePosted":"2026-04-18T15:58:15.870Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"CPQ, Contract Management, Salesforce, CRM Systems, Project Management, Communication, Stakeholder Management, Process Improvement, Detail-Oriented, Sales Strategy, Commercial Operations, Deal Desk, AI-Native Tooling, Operational Workflows, Contract and Compliance Management, Data Analysis, Deal Documentation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a5f5654f-dec"},"title":"Technical Enablement Lead, Claude Code","description":"<p>We&#39;re looking for a Technical Enablement Lead to curate &amp; 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Regular travel is expected for in-person training delivery and field events.</p>\n<p>Annual compensation range for this role is $270,000-$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_a5f5654f-dec","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/5185501008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$270,000-$310,000 USD","x-skills-required":["software engineering","solutions engineering","developer advocacy","technical enablement","AI coding tools","programming skills"],"x-skills-preferred":["public speaking","conference presentations","community-facing developer advocacy","enterprise developer workflows"],"datePosted":"2026-04-18T15:58:13.845Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, solutions engineering, developer advocacy, technical enablement, AI coding tools, programming skills, public speaking, conference presentations, community-facing developer advocacy, enterprise developer workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":270000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_12a4cdb3-95b"},"title":"Senior Marketing Operations Manager, B2B Sales","description":"<p>We&#39;re looking for a Senior Marketing Operations Manager to architect and optimize our B2B sales-led and channel-driven GTM engine. This role will define and maintain the systems, processes, and operational rigor that align Marketing, SDR, Sales, and Partner teams.</p>\n<p>The ideal candidate will have hands-on experience administering Marketo, Salesforce, and LeanData, and deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and evolve the GTM systems architecture, ensuring Salesforce, Marketo, LeanData, ZoomInfo, Qualified, Outreach, and Clay.io work together as a best-in-class, integrated ecosystem.</li>\n<li>Lead the design, governance, and optimization of data orchestration workflows using LeanData, including routing, prioritization, handoffs, and conversion logic across Marketing, SDR, and Sales teams.</li>\n<li>Design and execute a future-state operational roadmap focused on scaling B2B demand generation, ABM, and partner-led growth through automation, improved data flows, 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evaluate new tools, AI capabilities, and operational improvements that elevate our GTM infrastructure.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years in Marketing Operations or Revenue Operations supporting B2B sales-led funnels.</li>\n<li>Hands-on experience administering Marketo, Salesforce, and LeanData.</li>\n<li>Deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.</li>\n<li>Proven ability to design automated workflows, operational processes, and scalable cross-system integrations.</li>\n<li>Experience using AI-driven tools or agentic workflows to automate SDR tasks, enrich lead data, or accelerate GTM execution.</li>\n<li>Strong analytical, system design, and documentation skills; able to translate business needs into scalable technical workflows.</li>\n<li>Experience collaborating with Sales, SDR, RevOps, and System/Engineering teams.</li>\n</ul>\n<p>Bonus 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href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_12a4cdb3-95b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Brex","sameAs":"https://brex.com/","logo":"https://logos.yubhub.co/brex.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/brex/jobs/8380680002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$134,696 - $168,370","x-skills-required":["Marketo","Salesforce","LeanData","Lead routing","Lead-to-account matching","Data orchestration workflows","AI-driven tools","Agentic workflows","Automation","Improved data flows","AI-powered insights","Cross-system integrations","Strong analytical skills","System design","Documentation skills"],"x-skills-preferred":["FinTech","Enterprise B2B SaaS","Conversational marketing/ABM platforms","Paid funnel operations","Partner/VAR operational workflows","Scalable 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regulatory guidance and internal standards</li>\n<li>Partner with Clinical Pharmacology and Clinical Development on study design inputs, sampling strategies, analyte panels, and interpretation of exposure and immunogenicity implications</li>\n<li>Coordinate with Clinical Operations on sample logistics (kits, handling, stability, chain of custody, reconciliation) and resolution of operational issues impacting bioanalysis</li>\n<li>Collaborate with Regulatory Affairs by drafting/reviewing submission components and providing technical input to support IND/CTA and NDA/BLA/MAA activities</li>\n<li>Align with DMPK/Nonclinical on bioanalytical approaches across studies and support translational PK needs</li>\n<li>Work with Biostatistics/Data Science to enable clean data transfers, consistent formats/metadata, and analysis-ready datasets</li>\n<li>Support diligence and asset evaluation by reviewing bioanalytical packages, identifying gaps/risks, and proposing pragmatic remediation plans</li>\n<li>Contribute to Trial Engine scaling by helping standardize templates, workflows, and reporting conventions that improve speed and consistency across programs</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>PhD in a relevant field with 7+ years of bioanalytical experience in biopharma, including clinical-stage support, or a relevant undergraduate degree with 10+ years of experience</li>\n<li>Lead bioanalytical strategy and execution for assigned preclinical and clinical programs across small molecules and biologics</li>\n<li>Deep LC–MS/MS expertise for PK/TK, troubleshooting, and ISR</li>\n<li>Familiar with biologics bioanalysis and immunogenicity (ADA/NAb) approaches and interpretation</li>\n<li>Strong working knowledge of bioanalytical regulatory expectations and submission-quality documentation</li>\n<li>Lead CRO/vendor execution for assigned workstreams; support partner selection and governance as needed</li>\n<li>Comfortable operating in a fast-paced, cross-functional environment with multiple concurrent priorities</li>\n<li>Clear communicator who can translate technical detail into program-relevant recommendations</li>\n<li>Preferred: Experience functioning as part of a clinical study team to integrate tradeoffs between vendor selection, development speed, assay quality and performance, and applicability of method to deliver value to program overall</li>\n<li>Preferred: Familiarity with GCP/GCLP expectations and audit/inspection readiness for clinical bioanalysis</li>\n<li>Preferred: Experience shaping sample logistics (kits, stability, chain of custody) and data flow into filings</li>\n</ul>\n<p><strong>Total Compensation Range</strong></p>\n<p>$177,500 - $232,000</p>\n<p><strong>Compensation</strong></p>\n<p>Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn&#39;t match your expectations, we still encourage you to apply!</p>\n<p><strong>Where We Hire</strong></p>\n<p>Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.</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_d9e05746-2aa","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Formation Bio","sameAs":"https://www.formation.bio/","logo":"https://logos.yubhub.co/formation.bio.png"},"x-apply-url":"https://job-boards.greenhouse.io/formationbio/jobs/7530453","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,500 - $232,000","x-skills-required":["PhD in a relevant field","Bioanalytical experience in biopharma","LC–MS/MS expertise","Biologics bioanalysis and immunogenicity","Bioanalytical regulatory expectations"],"x-skills-preferred":["Experience functioning as part of a clinical study team","Familiarity with GCP/GCLP expectations","Experience shaping sample logistics and data flow"],"datePosted":"2026-04-18T15:58:11.388Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in a relevant field, Bioanalytical experience in biopharma, LC–MS/MS expertise, Biologics bioanalysis and immunogenicity, Bioanalytical regulatory expectations, Experience functioning as part of a clinical study team, Familiarity with GCP/GCLP expectations, Experience shaping sample logistics and data flow","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177500,"maxValue":232000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe2cd7cf-b63"},"title":"Partner Operations Manager, Recruitment & Activation","description":"<p>We are seeking a Partner Operations Manager to own the recruitment and activation engine of our partner ecosystem. 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This is a detail-oriented yet strategic role for someone who thrives on building clean processes, exercising sound judgment on partner fit, and delivering a high-quality partner experience at every stage.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Application screening &amp; admissions: owning the partner application pipeline from intake to decision, ensuring timely and consistent triage of all incoming applications,</li>\n<li>Developing and maintaining evaluation criteria and scoring frameworks to assess partner fit, capability, and alignment with program goals,</li>\n<li>Conducting qualification reviews and, where needed, introductory calls to inform admission decisions,</li>\n<li>Maintaining clear documentation of admissions policies, eligibility criteria, and decision rationale,</li>\n<li>Tracking and reporting on application volumes, conversion rates, and pipeline health,</li>\n<li>Partner recruitment: proactively identifying and recruiting partner prospects that align with program priorities across target segments, regions, or verticals,</li>\n<li>Building and maintaining a healthy inbound and outbound pipeline of qualified partner applicants,</li>\n<li>Collaborating with internal stakeholders to align recruitment efforts with business goals and partner program strategy,</li>\n<li>Partner activation &amp; onboarding: facilitating structured onboarding programs that equip newly admitted partners with the tools, knowledge, and resources they need to get started,</li>\n<li>Coordinating across Partner Enablement, Partner Success, and relevant internal teams to ensure seamless handoffs and a cohesive onboarding experience,</li>\n<li>Monitoring onboarding progress and partner engagement, identifying and resolving blockers early,</li>\n<li>Continuously improving onboarding workflows, materials, and timelines based on partner feedback and activation data,</li>\n<li>Operations &amp; program infrastructure: designing and optimizing the systems and workflows that support a scalable admissions and activation process,</li>\n<li>Maintaining accurate partner records and status tracking across relevant tools and platforms,</li>\n<li>Defining SLAs and contributing to reporting on partner program health and operational efficiency.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>3–6 years of experience in partner operations, channel programs, or ecosystem management,</li>\n<li>Strong process orientation with the ability to build and improve workflows from the ground up,</li>\n<li>Experience with partner onboarding, qualification, or admissions processes,</li>\n<li>High attention to detail with strong organizational and project management skills,</li>\n<li>Clear communication skills and the ability to manage multiple stakeholders across functions,</li>\n<li>Familiarity with CRM and partner management tools such as Salesforce, Impartner, Crossbeam, or similar.</li>\n</ul>\n<p>Annual compensation range for this role is $170,000-$215,000 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_fe2cd7cf-b63","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/5164597008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$170,000-$215,000 USD","x-skills-required":["partner operations","channel programs","ecosystem management","process orientation","workflow improvement","partner onboarding","qualification","admissions processes","organizational skills","project management","communication skills","CRM","partner management tools"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:02.281Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"partner operations, channel programs, ecosystem management, process orientation, workflow improvement, partner onboarding, qualification, admissions processes, organizational skills, project management, communication skills, CRM, partner management tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8d9fca0b-5eb"},"title":"Technical Support Engineer","description":"<p>As a Technical Support Engineer at Dialpad, you will play a critical role in supporting our cloud-based communications platform and ensuring a seamless customer experience. You&#39;ll act as a key partner across Engineering, Product, and Sales, owning complex technical issues and driving them through to resolution.</p>\n<p>This role is ideal for someone who thrives in a fast-paced environment, enjoys problem-solving, and is passionate about delivering exceptional customer experiences.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing carrier escalations, trouble tickets, and interoperability issues across telco networks.</li>\n<li>Monitoring network performance, conducting DID probes and test calls, and proactively identifying potential issues.</li>\n<li>Supporting customers across a range of inquiries,from basic product questions to complex technical troubleshooting.</li>\n<li>Diagnosing and resolving technical issues, escalating bugs, and partnering cross-functionally to drive timely resolution.</li>\n<li>Maintaining and exceeding established service levels and productivity standards.</li>\n<li>Collaborating closely with Sales, Engineering, and Product teams to improve the customer experience.</li>\n<li>Identifying opportunities to enhance support processes, educate users, and scale our support model.</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>3+ years of experience in Customer Support within telecom, carrier, or VoIP environments.</li>\n<li>A strong understanding of LAN/WAN networking and cloud-based technologies.</li>\n<li>Experience with VoIP, SIP environments, and desk phone provisioning.</li>\n<li>Solid troubleshooting and problem-solving skills with the ability to navigate complex technical issues.</li>\n<li>Strong written and verbal communication skills.</li>\n<li>A self-starter mindset with a strong sense of ownership and a team-oriented approach.</li>\n</ul>\n<p>Familiarity with Contact Center IVR workflows and 3rd party CRM integrations is a plus.</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_8d9fca0b-5eb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8483987002","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$71,000-$89,750 CAD","x-skills-required":["LAN/WAN networking","cloud-based technologies","VoIP","SIP environments","desk phone provisioning","troubleshooting","problem-solving","written communication","verbal communication"],"x-skills-preferred":["Contact Center IVR workflows","3rd party CRM integrations"],"datePosted":"2026-04-18T15:58:02.014Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kitchener, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LAN/WAN networking, cloud-based technologies, VoIP, SIP environments, desk phone provisioning, troubleshooting, problem-solving, written communication, verbal communication, Contact Center IVR workflows, 3rd party CRM integrations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":71000,"maxValue":89750,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ee4a7c0a-eb7"},"title":"Senior Software Engineer, Builder Tools","description":"<p>Join our Builder Tools Team as a Senior Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized ecosystem of core engineering tools.</p>\n<p>As a Senior Software Engineer, you will build and maintain internal engineering tooling that improves builder flow and reduces friction across the company. You will provide guidance, best practices, and automation to support adoption of AI agentic coding tools.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building and maintaining internal engineering tooling that improves builder flow and reduces friction across the company.</li>\n<li>Providing guidance, best practices, and automation to support adoption of AI agentic coding tools.</li>\n<li>Developing and operating internally facing agents.</li>\n<li>Implementing and improving developer workflows, including guardrails, evaluation approaches, and guidance that enables safe adoption of new tooling.</li>\n<li>Owning development and operation of our internal agent platform.</li>\n<li>Partnering with teams across Engineering, Product, Sales, and G&amp;A to understand where AI could accelerate their work or improve the quality of outcomes.</li>\n<li>Building measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact and guide iteration.</li>\n<li>Owning documentation and enablement materials that help builders succeed using the paved roads.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling.</li>\n<li>Experience leveraging modern agentic coding tools such as Codex and Claude Code.</li>\n<li>Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java.</li>\n<li>Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar).</li>\n<li>Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability.</li>\n<li>Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions.</li>\n<li>Ability to use data and qualitative feedback together to prioritize and measure impact.</li>\n<li>Clear written communication, including documentation that enables self-service.</li>\n</ul>\n<p>Nice to haves include experience building internal agents and operating an agent platform, familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics.</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_ee4a7c0a-eb7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Temporal","sameAs":"https://temporal.io/","logo":"https://logos.yubhub.co/temporal.io.png"},"x-apply-url":"https://job-boards.greenhouse.io/temporaltechnologies/jobs/5111582007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$176,000 - $237,600","x-skills-required":["Software engineering fundamentals","AI agentic coding tools","Internal engineering tooling","Developer workflows","Measurement and feedback loops","Documentation and enablement materials"],"x-skills-preferred":["Experience building internal agents and operating an agent platform","Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics"],"datePosted":"2026-04-18T15:58:01.523Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States, Remote Opportunity"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering fundamentals, AI agentic coding tools, Internal engineering tooling, Developer workflows, Measurement and feedback loops, Documentation and enablement materials, Experience building internal agents and operating an agent platform, Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":237600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1b98506e-104"},"title":"Senior Manager, Supply Tech","description":"<p>We&#39;re seeking a Senior Manager, Supply Tech to lead a geographically distributed team while driving strategic initiatives across our business verticals.</p>\n<p>As a Senior Manager, Supply Tech, you will reimagine our GTM technology ecosystem to drive productivity for sales and account management teams and operations teams. You&#39;ll ensure we have the right, intelligent technology to help our teams that support hosts through their journeys.</p>\n<p>This is a role where you&#39;ll balance building and developing talent with solving complex business problems at scale. You&#39;ll own unified program roadmaps across Homes, Hotels, Experiences, and Services while partnering cross-functionally to deliver innovative technology and process solutions that keep our teams focused on hosts, not stuck in ineffective tools.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and develop a distributed team across multiple verticals, driving talent transformation from enablement-focused to product owner mindset through hiring, performance management, and strategic transitions of contingent workers</li>\n<li>Establish team success and accountability by defining metrics, measuring program outcomes, and building strong stakeholder relationships that enable your team to drive strategy</li>\n<li>Create growth pathways for team members at various career stages while managing geographically distributed teams and technology partners</li>\n</ul>\n<p>Strategic Work:</p>\n<ul>\n<li>Design and execute a unified roadmap strategy across acquisition and account management systems for all supply verticals, with deep hands-on focus on Homes account management</li>\n<li>Lead cross-functional delivery by coordinating complex initiatives across Supply, Operations, Product Marketing, Engineering, and Analytics teams while serving as a thought partner to senior stakeholders on behalf of Supply Tech</li>\n<li>Influence technical architecture by partnering with Business Technology, Platform and Engineering teams to pressure-test business requirements, evaluate build vs. buy decisions, and challenge solutions business success in mind</li>\n<li>Solve complex business problems by evaluating technology solutions from CRM to custom builds without ego, focusing on capability density and keeping teams focused on hosts rather than ineffective tools</li>\n<li>Partner proactively with Advanced Analytics, various technical teams and other Supply Tech functions to identify collaboration opportunities across shared customer bases</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>12+ years in business systems, GTM product ownership, or technical program management with 3+ years managing distributed teams</li>\n<li>Deep expertise in go-to-market systems, particularly acquisition and account management workflows, with strong understanding of Salesforce capabilities, limitations, and alternatives</li>\n<li>Proven track record building and transforming teams</li>\n<li>hiring, developing talent across experience levels, and managing performance through ambiguity while balancing IC work with management responsibilities</li>\n<li>Strategic problem-solving focused on business outcomes with platform-agnostic thinking and strong build vs. buy framework expertise</li>\n<li>Strong technical aptitude - can engage in architecture discussions, and engineering decisions with data-driven insights, and serve as technical consultant for non-technical audiences</li>\n<li>Exceptional stakeholder management and negotiation skills with VP and Director-level partners, influencing Product and Engineering teams unfamiliar with Sales and Operations organizations</li>\n<li>Executive communication skills for high-stakes presentations and ability to articulate complex technical concepts to diverse audiences</li>\n<li>Comfortable with ambiguity, complex stakeholder management, and identifying partnership opportunities across functions</li>\n</ul>\n<p>Preferred:</p>\n<ul>\n<li>SQL proficiency for analysis and requirements definition</li>\n<li>Experience managing contingent workforce alongside FTE teams</li>\n<li>Background in marketplaces, multi-sided platforms, or B2B2C business models</li>\n<li>Familiarity with GTM productivity tools and change management for internal systems adoption</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. 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.</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_1b98506e-104","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/7768834","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$204,000-$249,000 USD","x-skills-required":["business systems","GTM product ownership","technical program management","distributed teams","go-to-market systems","acquisition and account management workflows","Salesforce capabilities","SQL proficiency","contingent workforce management","marketplaces","multi-sided platforms","B2B2C business models","GTM productivity tools","change management"],"x-skills-preferred":["experience managing contingent workforce alongside FTE teams","background in marketplaces, multi-sided platforms, or B2B2C business models","familiarity with GTM productivity tools and change management for internal systems adoption"],"datePosted":"2026-04-18T15:58:01.026Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"business systems, GTM product ownership, technical program management, distributed teams, go-to-market systems, acquisition and account management workflows, Salesforce capabilities, SQL proficiency, contingent workforce management, marketplaces, multi-sided platforms, B2B2C business models, GTM productivity tools, change management, experience managing contingent workforce alongside FTE teams, background in marketplaces, multi-sided platforms, or B2B2C business models, familiarity with GTM productivity tools and change management for internal systems adoption","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":204000,"maxValue":249000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_184d1c95-aae"},"title":"AI Research Intern","description":"<p>The Basics</p>\n<p>Taniam is seeking an AI Research Scientist Intern for Summer 2026. This role reports to our Staff Data Scientist leading AI design, prototyping, and experimentation across Tanium products and solutions.</p>\n<p>As an AI Research Scientist Intern, you will have the opportunity to work on challenging real-world problems, gain hands-on experience, and contribute to building intelligent systems that will shape the future of autonomous IT across endpoint management, exposure management, and security operations.</p>\n<p>This is a hybrid position, which will require in person attendance several days each week in Durham, NC OR Emeryville, CA.</p>\n<p>The hourly rate for this internship is $55 to $60 per hour. This hourly rate is an estimate for what Tanium will pay an intern. The actual rate offered may be adjusted based on a variety of factors, including but not limited to, education, skills, training, and experience.</p>\n<p>In addition to an hourly rate, interns will be eligible for a housing stipend, 401k matching, and a monthly allowance for communications reimbursement.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Collaborate with data science and engineering teams to design and implement AI and machine learning (ML) algorithms that improve Tanium’s autonomous IT capabilities.</li>\n</ul>\n<ul>\n<li>Develop and evaluate ML models across a wide variety of use cases, including anomaly detection, threat identification, and performance optimization.</li>\n</ul>\n<ul>\n<li>Analyze large-scale endpoint data to extract meaningful insights and develop predictive models.</li>\n</ul>\n<ul>\n<li>Assist in building data pipelines to efficiently process and analyze endpoint data at scale.</li>\n</ul>\n<ul>\n<li>Conduct exploratory data analyses and visualizations to communicate findings and inform product development decisions.</li>\n</ul>\n<ul>\n<li>Document research, methodologies, and results to contribute to Tanium’s knowledge base.</li>\n</ul>\n<ul>\n<li>Stay up to date with the latest advancements in AI, ML, and endpoint management technologies.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Strong foundation in machine learning, data analysis, and statistics.</li>\n</ul>\n<ul>\n<li>Proficiency in Python.</li>\n</ul>\n<ul>\n<li>Familiarity with machine learning frameworks and libraries (e.g., PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas).</li>\n</ul>\n<ul>\n<li>Experience working with large datasets.</li>\n</ul>\n<ul>\n<li>Knowledge in one or more of the following areas:</li>\n</ul>\n<ul>\n<li>Statistics</li>\n</ul>\n<ul>\n<li>Anomaly detection</li>\n</ul>\n<ul>\n<li>Machine learning (classification/regression)</li>\n</ul>\n<ul>\n<li>Internals of large language models (LLMs)</li>\n</ul>\n<ul>\n<li>Agentic AI</li>\n</ul>\n<ul>\n<li>Strong problem-solving skills and the ability to work independently and collaboratively.</li>\n</ul>\n<ul>\n<li>Excellent communication skills and the ability to present complex ideas clearly.</li>\n</ul>\n<ul>\n<li>Passion for technology, cybersecurity, and autonomous systems.</li>\n</ul>\n<p>Other qualifications:</p>\n<ul>\n<li>Authorized to work in the U.S. now and in the future</li>\n</ul>\n<ul>\n<li>Available to work full-time from June 8, 2024 to August 14, 2025</li>\n</ul>\n<ul>\n<li>A currently enrolled Master’s/ PhD degree candidate ideally studying Statistics, Machine Learning, or a related field with a 3.5+ GPA</li>\n</ul>\n<ul>\n<li>Graduating Spring 2027 or Fall 2026</li>\n</ul>\n<ul>\n<li>In accordance with Department of Defense requirements, applicants for this role must be a U.S. citizen, national, or resident pursuant to 8 U.S.C. 1101(a)(20) and 8 U.S.C. 1324b(a)(3)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_184d1c95-aae","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Tanium","sameAs":"https://www.tanium.com","logo":"https://logos.yubhub.co/tanium.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/tanium/jobs/7288542","x-work-arrangement":"hybrid","x-experience-level":"internship","x-job-type":"internship","x-salary-range":"$55 to $60 per hour","x-skills-required":["machine learning","data analysis","statistics","Python","PyTorch","scikit-learn","TensorFlow","numpy","scipy","pandas"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:58.012Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Durham, NC (Hybrid)"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, data analysis, statistics, Python, PyTorch, scikit-learn, TensorFlow, numpy, scipy, pandas"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c85087bb-6a8"},"title":"AI Tutor - Danish","description":"<p>As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI&#39;s mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts.</p>\n<p>Your work will focus on curating and annotating high-quality audio data to enhance Grok&#39;s global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI&#39;s handling of multilingual audio nuances.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.</li>\n</ul>\n<ul>\n<li>Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.</li>\n</ul>\n<ul>\n<li>Collaborate with technical staff to develop tasks that improve AI&#39;s ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.</li>\n</ul>\n<ul>\n<li>Work with technical staff to improve annotation tools for efficient audio workflows.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.</li>\n</ul>\n<ul>\n<li>Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.</li>\n</ul>\n<ul>\n<li>Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.</li>\n</ul>\n<ul>\n<li>Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.</li>\n</ul>\n<ul>\n<li>Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.</li>\n</ul>\n<ul>\n<li>Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.</li>\n</ul>\n<ul>\n<li>Commitment to developing AI that masters sophisticated multilingual audio capabilities.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.</li>\n</ul>\n<ul>\n<li>Deep understanding and taste of what good/useful Audio data is.</li>\n</ul>\n<ul>\n<li>Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.</li>\n</ul>\n<ul>\n<li>Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.</li>\n</ul>\n<ul>\n<li>Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.</li>\n</ul>\n<ul>\n<li>Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.</li>\n</ul>\n<ul>\n<li>Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.</li>\n</ul>\n<ul>\n<li>Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.</li>\n</ul>\n<ul>\n<li>Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.</li>\n</ul>\n<p>Location and Other Expectations:</p>\n<ul>\n<li>Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li>\n</ul>\n<ul>\n<li>For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.</li>\n</ul>\n<ul>\n<li>Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.</li>\n</ul>\n<ul>\n<li>For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.</li>\n</ul>\n<ul>\n<li>We are unable to provide visa sponsorship.</li>\n</ul>\n<ul>\n<li>For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.</li>\n</ul>\n<p>Compensation and Benefits:</p>\n<p>US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p>\n<p>Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview 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_c85087bb-6a8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5090189007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$35/hour - $45/hour","x-skills-required":["Multilingual audio capabilities","Proprietary software","Audio data curation","Annotation tools","Speech recognition","Auditory experiences","Diverse languages","Accents","Cultural contexts","Linguistic and prosodic details","Professional audio standards","Speech modulation","Accent variation","Noise in real-world 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audience","Clarity and recording quality"],"datePosted":"2026-04-18T15:57:57.773Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Multilingual audio capabilities, Proprietary software, Audio data curation, Annotation tools, Speech recognition, Auditory experiences, Diverse languages, Accents, Cultural contexts, Linguistic and prosodic details, Professional audio standards, Speech modulation, Accent variation, Noise in real-world recordings, Multilingual audio processing, Audio workflows, Transcription, Audio quality, Voice recordings, Feedback on audio samples, Independent judgments, Ambiguous audio scenarios, Defensible annotation decisions, Portfolio, Voice samples, Annotated transcripts, Audio-related work, Quality, Methodology, Attention to detail, Professional experience in voice, Linguistics, Speech data, Speech evaluation and research, Exceptional attention to linguistic nuance, Auditory detail, Data quality, Advanced transcription and annotation practices, Disfluencies, Prosodic features, Intonation, Stress, Rhythm, Emotion, Phonetics, Phonology, Sociolinguistics, Speech sciences, Cognitive science, Pronunciation differences, Multilingual speech patterns, Speech/audio datasets, Annotation workflows, AI training data, Training voice models, Data quality impacts model performance, Voice acting, Voice recording, Podcasting, Measurable audience, Clarity and recording quality"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9c235fca-4e3"},"title":"Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI","description":"<p>As a Senior/Staff Machine Learning Engineer on the General Agents team, you&#39;ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems.</p>\n<p>You will work across the full agent lifecycle,from model and system design to evaluation, deployment, and iteration,bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.</li>\n<li>Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.</li>\n<li>Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.</li>\n<li>Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.</li>\n<li>Productionize frontier agent 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You will communicate your findings to senior leadership and partner with others to operationalize the hypotheses and takeaways.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Corporate Long Range Financial Planning &amp; Analysis</li>\n<li>Own the long-range budgeting, forecasting, and analysis process, workstreams, and reporting for the consolidated company plan</li>\n<li>Drive cash flow forecasting and management efforts, ensuring liquidity and financial stability</li>\n<li>Develop complex financial models to assess various financial scenarios and support strategic initiatives</li>\n<li>Conduct thorough balance sheet analyses and report on key financial indicators</li>\n<li>Identify and implement process improvements to streamline FP&amp;A activities and enhance reporting accuracy</li>\n<li>Collaborate with cross-functional teams to prepare annual budgets, quarterly forecasts, and long-term financial plans</li>\n<li>Lead the development of executive-level reporting and present financial insights to senior management</li>\n<li>Drive continuous improvement in financial reporting tools, systems, and procedures</li>\n<li>Lead the SG&amp;A forecasting and planning review cycle and engage in detailed workstreams partnering with corporate functional leaders</li>\n<li>Collaborate with department leaders to provide financial insights, support decision-making, and drive accountability for spend</li>\n<li>Prepare monthly and quarterly financial reports and dashboards to communicate SG&amp;A performance to senior leadership</li>\n<li>Analyze trends and risks, offering recommendations to optimize cost structures and improve financial efficiency</li>\n<li>Headcount Planning &amp; 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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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AI experience requirements vary by role and will be assessed during the interview process.</p>\n<p>By the Numbers:</p>\n<ul>\n<li>Named #1 best software for small business of 2024 by G2</li>\n<li>2,700+ employees in the United States, Canada, Mexico, and Turkiye and growing</li>\n<li>Over $500M in annual revenue</li>\n<li>The SMB market is large (and growing!) with huge opportunities for Gusto to make an incredible impact for SMBs</li>\n<li>There are 6.2M employers in the US, 98% have fewer than 100 employees (1)</li>\n<li>550,000 new businesses are created each year in the US (1)</li>\n</ul>\n<p>What Product Management is like at Gusto:</p>\n<ul>\n<li>Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll move fast by pairing sharp product judgment with fluency in AI tools , automating what slows teams down and amplifying what makes them creative and high-performing.</li>\n<li>We’re boundaryless builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship , using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.</li>\n<li>We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners , building technology for an AI-first world that gives them the superpowers to run and grow their businesses with confidence.</li>\n<li>We’re comfortable with change. Our environment moves fast, and PMs here thrive in ambiguity , blending curiosity, experimentation, and AI-native craft to shape how products (and work itself) are built at Gusto.</li>\n</ul>\n<p>About the Team:</p>\n<p>Gusto operates a scaled, full-suite benefits brokerage and is building a Professional Employer Organization (PEO) offering to serve more complex small businesses with a bundled solution for HR, payroll, benefits, and compliance. Our existing brokerage business is among the largest in the US serving the SMB market, and our PEO bet is one of our most strategic new initiatives, with FY26 focused on developing the foundation and FY27 aimed at launching a differentiated, scalable customer experience.</p>\n<p>We&#39;re looking for a Product Manager to lead the transformation of Gusto&#39;s benefits administration platform, the product that powers benefits for tens of thousands of SMBs and their employees. This role owns what happens after benefit selections are made: implementing plans with carriers, fulfilling enrollments, and giving customers visibility into the status of their benefits. It is a broad scope, encompassing agentic workflows, customer-facing experiences, internal tooling, and carrier integrations.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>Ownership: Lead long-term strategy. This includes driving research, defining customer and market positioning, shaping product direction, and identifying the investments and internal capabilities required for success. You’ll translate this strategy into actionable guidance that informs company-wide planning and execution.</li>\n<li>North Star: Focus the organization on what matters most. Identify the highest-leverage investments and decisions across functions that will unlock long-term success, reduce ambiguity, and ensure that Gusto is building toward a cohesive and differentiated Benefits &amp; PEO offering.</li>\n<li>Collaborate: Partner across Product, Engineering, Compliance, Legal, CX, Marketing, Sales, and Operations to uncover insights, validate assumptions, and build alignment. You’ll help create shared understanding and ensure cross-functional teams are set up to deliver.</li>\n<li>Accelerate Execution: Step into the highest-priority gaps that stand in the way of success. Whether it’s clarifying requirements, kicking off strategic initiatives, or embedding with a team to drive execution, you’ll help move the work forward by creating clarity, building momentum, and enabling others to succeed.</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>8+ years of product management experience, ideally with additional professional experience in roles that involved leading large, complex, and cross-functional initiatives</li>\n<li>A systems thinker with experience in AI-driven workflows, operations platforms, and process transformation. Benefits experience is a plus, but not a requirement.</li>\n<li>Strong strategic thinking and the ability to connect work across customer needs, product design, internal operations, pricing, and go-to-market</li>\n<li>Excellent communication and storytelling skills, with a talent for making complexity understandable and actionable</li>\n<li>A bias towards action, comfort operating without a clear playbook, and a desire to drive meaningful progress on long-term company priorities</li>\n</ul>\n<p>If you don&#39;t think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we&#39;re looking for someone excited to join the team.</p>\n<p>Our cash compensation amount for this role is $179,000/yr to $224,000/yr in Denver &amp; most major metro locations, and $210,000/yr to $263,000/yr for San Francisco, Seattle &amp; New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.</p>\n<p>Where do PMs at Gusto work? We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. Our open roles will specify on the careers page and in the job description where the position is eligible for work. (1) Business Applications with Planned Wages (www.census.gov)</p>\n<p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto&#39;s subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 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We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.</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_c7120bff-b9e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/7665272","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$179,000/yr to $224,000/yr in Denver & most major metro locations, and $210,000/yr to $263,000/yr for San Francisco, Seattle & New York","x-skills-required":["product management","AI-driven workflows","operations platforms","process transformation","benefits experience","strategic thinking","communication and storytelling skills","bias towards action","leadership"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:48.299Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Software","skills":"product management, AI-driven workflows, operations platforms, process transformation, benefits experience, strategic thinking, communication and storytelling skills, bias towards action, leadership","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":179000,"maxValue":263000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_25cacbc0-046"},"title":"Senior Analyst, Legal Operations","description":"<p>We are seeking a skilled Legal Operations Senior Analyst to enhance xAI&#39;s systems and operations by providing deep expertise in assessing and handling legal requests from government entities all over the world.</p>\n<p>In this role, you will process high-volume content-removal requests under local laws (hate speech, defamation, national security, data-privacy statutes) as well as productions of user information in response to legal process (subpoenas, court orders, warrants, MLAT requests, etc.).</p>\n<p>You will leverage your expertise in legal operations, regulatory compliance, and content moderation to support both day-to-day execution and the optimization of AI-driven automation. 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agreements</li>\n<li>Partner with teammates and cross-functional stakeholders to build out governance practices as the team scales</li>\n</ul>\n<p>You May Be a Good Fit If You</p>\n<ul>\n<li>Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience</li>\n<li>5-7+ years of experience with data pipelines or data engineering workflows</li>\n<li>Background in solutions engineering, partner engineering or related role at a large tech company</li>\n<li>5+ years of experience in technical troubleshooting or writing code in one or more programming languages</li>\n<li>Proficiency in Python and SQL, including writing, debugging, and optimizing scripts and queries against large datasets</li>\n<li>Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including managing storage, configuring access, and working from the CLI</li>\n<li>Excellent problem-solving skills with a track record of debugging technical issues, whether at the code level or within a broader system</li>\n<li>Some experience interacting with external third parties delivering data</li>\n</ul>\n<p>Strong Candidates Will Have</p>\n<ul>\n<li>Experience working alongside technical teams (research, engineering, or product) to solve ambiguous problems</li>\n<li>Ability to translate technical concepts into clear, actionable guidance for non-technical stakeholders or external partners</li>\n<li>Experience owning or maintaining a production service or system with uptime expectations</li>\n<li>Familiarity with data governance, compliance, or rights management</li>\n<li>Ability to manage multiple, time-sensitive projects simultaneously and the drive to take a project from an initial idea to full completion</li>\n<li>Experience leveraging AI to automate workflows</li>\n</ul>\n<p>Candidates Need Not Have</p>\n<ul>\n<li>Deep expertise in AI or machine learning</li>\n<li>A pure software engineering background</li>\n</ul>\n<p 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As a result, they see significant improvement in performance and a decrease in spam and other attacks.</p>\n<p>Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.</p>\n<p>Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.</p>\n<p>If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.</p>\n<p>Available Locations: London</p>\n<p>About Solutions Engineering at Cloudflare</p>\n<p>The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team.</p>\n<p>The Partner Solutions Engineer is an experienced PreSales role within the Solutions Engineering team. Partner Solutions Engineers work closely with our partners to educate, empower, and ensure their success delivering Cloudflare security, reliability and performance solutions.</p>\n<p>What you&#39;ll do as a Partner Solutions Engineer</p>\n<p>Your role will be to build passionate champions within the technology ranks at your Partner accounts, aid your Partner organizations to drive sales for identified opportunities, and collaborate with your technical champions to build revenue pipeline. As the technical partner advocate within Cloudflare, you will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support.</p>\n<p>You have strong experience in large Pre-Sales partner and account management as well as excellent verbal and written communications skills in English, suited for both technical and executive-level engagement. You are comfortable speaking about the Cloudflare vision and mission with all technical and non-technical audiences. Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms.</p>\n<p>You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with partners and customers, and look forward to helping them realize the full promise of Cloudflare.</p>\n<p>On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other. Specifically, we are looking for you to:</p>\n<ul>\n<li>Build and maintain long term technical relationships with our EMEA partners to increase Cloudflare’s reputation and authority within the partner solution portfolio through demonstrating value, enablement, and uncovering new areas of potential revenue</li>\n</ul>\n<ul>\n<li>Drive technical solution design conversations and guide partners in EMEA through use case qualification and collaborative technical wins through demonstrations and proofs-of-concepts</li>\n</ul>\n<ul>\n<li>Evangelize and represent Cloudflare through technical thought leadership and expertise</li>\n</ul>\n<ul>\n<li>Be the voice of the partner internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your partner and customer needs</li>\n</ul>\n<p>Travel up to 40% throughout the quarter to support partner engagements, attend conferences and industry events, and to collaborate with your Cloudflare teammates</p>\n<p>Examples of desirable skills, knowledge and experience:</p>\n<ul>\n<li>Fluency in English (verbal and written)</li>\n</ul>\n<ul>\n<li>Experience managing technical sales within large partners and accounts:</li>\n</ul>\n<ul>\n<li>Developing champion-style relationships</li>\n</ul>\n<ul>\n<li>Driving technical wins</li>\n</ul>\n<ul>\n<li>Assisting with technical validation</li>\n</ul>\n<ul>\n<li>Experience and expertise in one or more of the core industry components of Cloudflare solutions:</li>\n</ul>\n<ul>\n<li>SASE concepts and Zero Trust Networking architectures</li>\n</ul>\n<ul>\n<li>Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management</li>\n</ul>\n<ul>\n<li>Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP</li>\n</ul>\n<ul>\n<li>Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP</li>\n</ul>\n<ul>\n<li>HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development</li>\n</ul>\n<p>What Makes Cloudflare Special?</p>\n<p>We’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.</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? We’d love to hear from you!</p>\n<p>This 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>Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person&#39;s, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.</p>\n<p>We are an AA/Veterans</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_20fef61c-c3c","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/7210482","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Fluency in English (verbal and written)","Experience managing technical sales within large partners and accounts","Developing champion-style relationships","Driving technical wins","Assisting with technical validation","SASE concepts and Zero Trust Networking architectures","Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management","Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP","Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP","HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:31.368Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid; 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comfortable learning and adopting new tooling and processes.</li>\n</ul>\n<ul>\n<li>Grit, curiosity, and the coachability to iterate quickly on feedback.</li>\n</ul>\n<ul>\n<li>Ability to learn our core systems to find targets within our existing customer database</li>\n</ul>\n<ul>\n<li>Passion for creators, video, audio, or modern content workflows is a big plus.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience selling to marketing, learning &amp; development, product, or media teams.</li>\n</ul>\n<ul>\n<li>Familiarity with audio/video creation workflows or interest in multimedia production.</li>\n</ul>\n<ul>\n<li>Prior experience in a startup or high-growth environment.</li>\n</ul>\n<ul>\n<li>Knowledge of prospecting at enterprise accounts and navigating complex buying groups.</li>\n</ul>\n<p>What success looks like (first 3–6 months):</p>\n<ul>\n<li>Consistently hitting activity and meeting targets and contributing a predictable pipeline to the AE team.</li>\n</ul>\n<ul>\n<li>Developing strong, scalable cadences that increase conversion rates from outreach → meeting → SQL.</li>\n</ul>\n<ul>\n<li>Showing strong product knowledge and independently handling discovery calls with high lead quality.</li>\n</ul>\n<p>Our hiring process:</p>\n<ul>\n<li>Manager / hiring team interview (role fit &amp; experience).</li>\n</ul>\n<ul>\n<li>Live or recorded roleplay / sales exercise.</li>\n</ul>\n<ul>\n<li>Final conversation with leadership or cross-functional partner.</li>\n</ul>\n<ul>\n<li>Offer.</li>\n</ul>\n<p>Base salary range for this role is $60,000-$120,000/year OTE.</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_1cf94d53-ff0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Descript","sameAs":"https://descript.com/","logo":"https://logos.yubhub.co/descript.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/descript/jobs/7676250003","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$60,000-$120,000/year OTE","x-skills-required":["outbound prospecting","email","phone","social media","CRM","sales engagement tools","metrics-driven approach","communication skills","coaching","learning","adoption of new tooling and processes"],"x-skills-preferred":["SaaS","AI","Investment Banking","marketing","learning & development","product","media teams","audio/video creation workflows","multimedia production","startups","high-growth environments","prospecting at enterprise accounts","complex buying groups"],"datePosted":"2026-04-18T15:56:30.599Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA or Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"outbound prospecting, email, phone, social media, CRM, sales engagement tools, metrics-driven approach, communication skills, coaching, learning, adoption of new tooling and processes, SaaS, AI, Investment Banking, marketing, learning & development, product, media teams, audio/video creation workflows, multimedia production, startups, high-growth environments, prospecting at enterprise accounts, complex buying groups","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":60000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8447826b-717"},"title":"Senior Systems Integration Engineer","description":"<p>EarnIn is scaling its systems, automations, and data capabilities to power its people and protect its information. As a Senior Systems Integration Engineer, you will be a hands-on technical lead focused on Python-driven automation, building systems integrations between HRIS, Identity Provider, SaaS, and Finance Platform, and transforming operational data into actionable insights and dashboards.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain production-grade automations and internal tools in Python to eliminate manual work across identity, endpoint, and SaaS operations.</li>\n<li>Develop resilient API integrations and event-driven workflows (webhooks, queues) with robust error handling, retries, and observability; package reusable libraries and CLIs that standardize how IT automates.</li>\n<li>Codify repeatable infrastructure with Terraform; manage changes via Git and CI/CD (e.g., GitHub Actions).</li>\n</ul>\n<ul>\n<li>Build and operate integrations between HRIS/IdP/SaaS and financial platforms (e.g., NetSuite, Carta, Expensify), ensuring data quality, lineage, and reconciliation across systems.</li>\n<li>Create and maintain lightweight services that normalize and enrich data flows to power business intelligence and compliance reporting (Tableau/Power BI/Looker Studio).</li>\n</ul>\n<ul>\n<li>Define KPIs/SLIs/SLOs for core IT services (availability, compliance, MTTR, deflection, time-to-productive-employee) and implement monitoring/alerting.</li>\n<li>Build data warehouses (e.g., Databricks) and write SQL against them (e.g., BigQuery) and build self-serve dashboards for IT, Security, Finance, People Ops, and Engineering; instrument pipelines for accuracy and freshness.</li>\n</ul>\n<ul>\n<li>Deliver repeatable, audit-ready evidence for controls via dashboards and scheduled reports.</li>\n</ul>\n<ul>\n<li>Evaluate and deploy AI tools with guardrails to boost IT productivity; automate helpdesk workflows (triage, summarization, routing, knowledge search).</li>\n<li>Define and track value metrics (adoption, deflection, CSAT, MTTR, time saved); iterate based on experiments and user feedback.</li>\n</ul>\n<ul>\n<li>Implement and sustain controls mapped to SOC 2 and PCI (as applicable) with repeatable evidence collection.</li>\n<li>Define and review SLIs/SLOs; add monitoring/alerting, config drift detection, and incident runbooks.</li>\n</ul>\n<ul>\n<li>Lead cross-functional projects with Security, People Ops, Finance, and Engineering , from design through steady state.</li>\n<li>Mentor junior engineers through design and code reviews; publish clear documentation that makes the reliable path the easy path.</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_8447826b-717","directApply":true,"hiringOrganization":{"@type":"Organization","name":"EarnIn","sameAs":"https://www.earnin.com/","logo":"https://logos.yubhub.co/earnin.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/earnin/jobs/7703637","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","API/OpenAPI","event-driven workflows","SQL","Infrastructure as Code (Terraform)","Git-based change management","security mindset"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:30.147Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote, Mexico"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, API/OpenAPI, event-driven workflows, SQL, Infrastructure as Code (Terraform), Git-based change management, security mindset"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_69e8923b-c16"},"title":"Senior Data Scientist","description":"<p>We&#39;re seeking a Senior Data Scientist to join our Research, Analytics &amp; Data Science (RAD) team. Our team uses data and insights to drive evidence-based decision-making, generating actionable insights about our customers, products, and business.</p>\n<p>As a Senior Data Scientist, you&#39;ll partner with product teams to help them identify important questions and answer those questions with data. You&#39;ll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes, and size opportunities.</p>\n<p>You&#39;ll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You&#39;ll also partner closely with product researchers to build a holistic understanding of our customers, products, and business.</p>\n<p>Increasingly, you&#39;ll use AI-assisted tools to accelerate analysis, coding, and insight generation. You&#39;ll identify opportunities to automate your own workflows and reduce time spent on repetitive tasks. 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experimentation &amp; building is encouraged &amp; celebrated</li>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen</li>\n<li>Regular compensation reviews - we reward great work</li>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents</li>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it</li>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones</li>\n<li>MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done</li>\n</ul>\n<p>Experience Level: Senior Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and equity in a fast-growing start-up Required Skills: SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, and growth mindset, experience with a scientific computing language (e.g., Python) Preferred Skills: data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow</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_69e8923b-c16","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7749323","x-work-arrangement":null,"x-experience-level":null,"x-job-type":null,"x-salary-range":null,"x-skills-required":["SQL","statistics","experience working with product teams","strong product intuition","business acumen","excellent communication skills","strong ownership","curiosity","growth mindset","experience with a scientific computing language (e.g., Python)"],"x-skills-preferred":["data modeling and ETL pipelines (esp. dbt)","building internal tools","data products","or self-serve analytics capabilities","leveraging AI across the data workflow"],"datePosted":"2026-04-18T15:56:25.055Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, England"}},"skills":"SQL, statistics, experience working with product teams, strong product intuition, business acumen, excellent communication skills, strong ownership, curiosity, growth mindset, experience with a scientific computing language (e.g., Python), data modeling and ETL pipelines (esp. dbt), building internal tools, data products, or self-serve analytics capabilities, leveraging AI across the data workflow"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0a154c39-08a"},"title":"Senior Machine Learning Platform Engineer (Platform)","description":"<p>Ready to be pushed beyond what you think you’re capable of?</p>\n<p>At Coinbase, our mission is to increase economic freedom in the world.</p>\n<p>We&#39;re seeking a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains.</p>\n<p>As a Senior Machine Learning Platform Engineer, you will:</p>\n<p>Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps. Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.</p>\n<p>What we look for in you:</p>\n<p>5+ yrs of industry experience as a Software Engineer. Strong understanding of distributed systems. Lead by example through high quality code and excellent communication skills. Great sense of design, and can bring clarity to complex technical requirements. Treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. Mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</p>\n<p>Nice to haves:</p>\n<p>Experience building ML models and working with ML systems. Experience working on a platform team, and building developer tooling. Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).</p>\n<p>Job ID: P75535</p>\n<p>Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $186,065-$225,000 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_0a154c39-08a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Coinbase","sameAs":"https://www.coinbase.com/","logo":"https://logos.yubhub.co/coinbase.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coinbase/jobs/7604203","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$186,065-$225,000 USD","x-skills-required":["distributed systems","high-quality code","excellent communication skills","design","fundamentals","generative AI tools","copilots"],"x-skills-preferred":["ML models","ML systems","platform team","developer tooling","Python","Golang","Ray","Tecton","Spark","Airflow","Databricks","Snowflake","DynamoDB"],"datePosted":"2026-04-18T15:56:24.447Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - USA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, high-quality code, excellent communication skills, design, fundamentals, generative AI tools, copilots, ML models, ML systems, platform team, developer tooling, Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, DynamoDB","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":186065,"maxValue":225000,"unitText":"YEAR"}}}]}