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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Claude is used by millions of people every day through our web, mobile, and desktop applications. As these products scale, so does the complexity of coordinating across engineering teams and cross-functional partners. We need an experienced Technical Program Manager to drive critical initiatives across our product engineering organisation.</p>\n<p>You&#39;ll be instrumental in coordinating high-complexity cross-team efforts, driving launch readiness, and ensuring seamless execution across platform and product teams. This role is critical as our products grow in scale and complexity.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead cross-team engineering initiatives, coordinating between platform, product, and infrastructure teams to deliver high-quality releases</li>\n<li>Drive program execution for major product features, ensuring alignment across engineering, legal, policy, and other cross-functional partners</li>\n<li>Partner with engineering leadership to improve development velocity, manage dependencies, and remove blockers</li>\n<li>Build and maintain relationships across engineering teams to understand technical requirements, constraints, and tradeoffs</li>\n<li>Create comprehensive program documentation including roadmaps, status reports, risk assessments, and communication plans</li>\n<li>Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues</li>\n<li>Establish processes and frameworks for scaling product development and improving engineering excellence</li>\n<li>Drive launch readiness across teams, ensuring predictable and well-communicated releases</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs</li>\n<li>Have experience with web, mobile, or client application development and the ability to engage meaningfully with frontend and backend engineers</li>\n<li>Have experience coordinating across multiple engineering teams and cross-functional partners (legal, policy, etc.) simultaneously</li>\n<li>Are highly organised and can manage multiple parallel workstreams effectively across distributed teams</li>\n<li>Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations</li>\n<li>Have excellent written and verbal communication skills, with the ability to influence without authority</li>\n<li>Have a track record of building trust with technical teams and driving change through influence</li>\n<li>Are passionate about Anthropic&#39;s mission and interested in the challenges of bringing AI capabilities to users safely and reliably</li>\n<li>Have experience with high-growth products serving large user bases (preferred but not required)</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None, applications will be received on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</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>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>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><strong>Your safety matters to us.</strong></p>\n<p>To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><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</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_8d715def-b40","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5062968008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000 - $365,000 USD","x-skills-required":["Technical Program Management","Web Development","Mobile Development","Client Application Development","Frontend Engineering","Backend Engineering","Cross-functional Team Management","Program Execution","Launch Readiness","Engineering Excellence"],"x-skills-preferred":["High-growth Products","Large User Bases","AI Research","Steerable AI","Trustworthy AI","Empirical Science","Collaborative Teamwork"],"datePosted":"2026-03-08T13:51:05.142Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Technical Program Management, Web Development, Mobile Development, Client Application Development, Frontend Engineering, Backend Engineering, Cross-functional Team Management, Program Execution, Launch Readiness, Engineering Excellence, High-growth Products, Large User Bases, AI Research, Steerable AI, Trustworthy AI, Empirical Science, Collaborative Teamwork","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":365000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dd6e85f0-7a8"},"title":"Software Engineer, Monetization AI/ML","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.</p>\n<p>Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.</p>\n<p>This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We’re looking for experienced Software Engineers to help build OpenAI’s foundational ads ranking and recommendation systems—the ML and AI platforms that determine how monetized experiences are selected, ordered, and optimized across OpenAI products.</p>\n<p>In this role, you’ll architect and implement large-scale, high-performance ML-driven systems with rigorous requirements around latency, correctness, safety, privacy, and continuous improvement. You’ll work on modern, transformer- and LLM-inspired architectures that move beyond traditional feature engineering toward more expressive, context-aware decisioning. Your work will have a direct revenue impact and make ChatGPT and other products accessible to more people with fewer usage limits or without having to pay.</p>\n<p>This is a deeply technical, 0→1 founding-stage role where you’ll operate across backend engineering, systems design, and applied AI/ML to help define the next generation of AI-native monetization and recommendation platforms.</p>\n<p>This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Architect, build, and evolve large-scale ads ranking and recommendation systems using modern ML and AI techniques</li>\n</ul>\n<ul>\n<li>Design and productionize LLM- and transformer-inspired models that leverage sequential signals, long-horizon context, and sparse or delayed feedback.</li>\n</ul>\n<ul>\n<li>Develop model-driven decision logic and inference pipelines that operate under real-world constraints around performance, reliability, and privacy.</li>\n</ul>\n<ul>\n<li>Partner closely with Product, Design, and Research to define requirements and translate ambiguous product goals into scalable ML systems.</li>\n</ul>\n<ul>\n<li>Prototype, experiment, and rapidly iterate on new model architectures and training approaches to improve relevance, quality, and efficiency.</li>\n</ul>\n<ul>\n<li>Build services and infrastructure that support training, evaluation, online inference, and continuous optimization of ML models.</li>\n</ul>\n<ul>\n<li>Establish strong measurement, experimentation, and debugging practices to understand model behavior and system-level outcomes.</li>\n</ul>\n<ul>\n<li>Contribute to technical strategy and help shape the long-term evolution of OpenAI’s monetization and recommendation stack.</li>\n</ul>\n<ul>\n<li>Embed safety, fairness, and policy considerations directly into model design and system architecture from first principles.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have 6+ years of experience building and scaling ML-powered systems in production environments.</li>\n</ul>\n<ul>\n<li>Have worked on ranking, recommendation, ads, marketplaces, or large-scale ML inference systems.</li>\n</ul>\n<ul>\n<li>Are comfortable operating across the full stack — from model development to backend services and production deployment.</li>\n</ul>\n<ul>\n<li>Enjoy deeply technical 0→1 problem spaces where architecture, strategy, and implementation overlap.</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_dd6e85f0-7a8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/a7b192bf-3d2e-4acb-9c97-fad3de0609db","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-skills-required":["Software Engineer","Machine Learning","Artificial Intelligence","Full Stack Development","Backend Engineering","Systems Design","Applied AI/ML"],"x-skills-preferred":["Transformer- and LLM-inspired architectures","Sequential signals","Long-horizon context","Sparse or delayed feedback","Model-driven decision logic","Inference pipelines","Real-world constraints","Performance","Reliability","Privacy"],"datePosted":"2026-03-06T18:24:31.168Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Machine Learning, Artificial Intelligence, Full Stack Development, Backend Engineering, Systems Design, Applied AI/ML, Transformer- and LLM-inspired architectures, Sequential signals, Long-horizon context, Sparse or delayed feedback, Model-driven decision logic, Inference pipelines, Real-world constraints, Performance, Reliability, Privacy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c224e1d4-cc6"},"title":"Backend Software Engineer (Evals)","description":"<p><strong>Location</strong></p>\n<p>San Francisco; Seattle</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Applied AI</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$230K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design eval pipelines that are reliable, reproducible, and extendable</li>\n</ul>\n<ul>\n<li>Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation</li>\n</ul>\n<ul>\n<li>Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems</li>\n</ul>\n<ul>\n<li>Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.</li>\n</ul>\n<ul>\n<li>Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows</li>\n</ul>\n<ul>\n<li>Own the full development lifecycle of new backend systems and internal platform capabilities</li>\n</ul>\n<ul>\n<li>Build with scale and maintainability in mind, while rapidly iterating on new ideas</li>\n</ul>\n<p><strong>You might be a great fit if you have:</strong></p>\n<ul>\n<li>4+ years of backend engineering experience at product-driven companies (excluding internships)</li>\n</ul>\n<ul>\n<li>Proficiency in backend technologies. 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