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It’s a platform team whose platform is model behavior itself.</p>\n<p>The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. The pace is set by the model release cadence, and the team operates as both a platform owner and a hands-on partner during launch periods.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead and grow a team of prompt engineers and platform software engineers</li>\n<li>Own the product-side eval platform: the frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship</li>\n<li>Own system prompt infrastructure: versioning, deployment, rollback, and review tooling for the prompts that run in production across claude.ai, the API, and agentic surfaces</li>\n<li>Be a steady hand through model launches , these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic</li>\n<li>Build durable collaboration with other evals groups across the company; this means real work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure</li>\n<li>Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior</li>\n<li>Shape where the team invests next: there are credible paths into frontier eval development, model launch automation, and deeper prompt engineering support, and part of the job is sequencing them</li>\n<li>Push the team toward measuring things that are hard to measure , behavioral drift, prompt quality, harness parity , not just things that are easy</li>\n</ul>\n<p><strong>You May Be a Good Fit If You Have</strong></p>\n<ul>\n<li>8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where your customers were other engineers</li>\n<li>A track record of building “pits of success” , tooling and process that made it easy for other teams to do the right thing without needing to understand all the details</li>\n<li>Comfort managing a team with a mixed charter: platform ownership, service-to-other-teams, and a launch-driven operational rhythm, all at once</li>\n<li>Enough technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs , you don’t need to be writing code by hand every day, but you should be able to read it, review it, and be comfortable leveraging Claude to understand, design, and occasionally build.</li>\n<li>A product mindset and willingness to wear multiple hats when the work calls for it</li>\n<li>Demonstrated ability to build and maintain peer relationships with partner orgs that have different cultures and incentives , negotiating ownership, aligning roadmaps, and holding ground when it matters without being territorial about it</li>\n<li>Experience recruiting and closing senior ICs in a competitive market</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Prior exposure to LLM evals, ML experimentation platforms, or model quality work , even tangentially</li>\n<li>Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems</li>\n<li>Background in devtools, CI/CD platforms, or testing infrastructure at scale</li>\n<li>A history of managing teams that sit between two larger orgs and making that position an asset rather than a liability</li>\n<li>Interest in AI safety and alignment , not required, but it makes the “why” of the work land harder</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. 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We’re an extremely collaborative group, and we host frequent research discussions</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_d08d38d2-b72","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/5159608008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["software engineering","team management","platform ownership","service-to-other-teams","launch-driven operational rhythm","system design","pipeline architecture","product mindset","recruiting and closing senior ICs"],"x-skills-preferred":["LLM evals","ML experimentation platforms","model quality work","A/B testing infrastructure","feature flagging","gradual rollout systems","devtools","CI/CD platforms","testing infrastructure at scale"],"datePosted":"2026-04-18T15:54:35.018Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, team management, platform ownership, service-to-other-teams, launch-driven operational rhythm, system design, pipeline architecture, product mindset, recruiting and closing senior ICs, LLM evals, ML experimentation platforms, model quality work, A/B testing infrastructure, feature flagging, gradual rollout systems, devtools, CI/CD platforms, testing infrastructure at scale","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7a3f562b-768"},"title":"Senior Staff Software Engineer, API","description":"<p>About Anthropic\\n\\nAnthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nAbout the role\\n\\nAnthropic is seeking an exceptional Senior Staff Software Engineer to join the Claude Developer Platform team and serve as the senior-most individual contributor across API Engineering. Since launch, the Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. The API serves as the primary channel for safely and broadly distributing AI&#39;s benefits across all sectors of the economy.\\n\\nThis role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic&#39;s ambitions.\\n\\nResponsibilities\\n\\n- Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.\\n\\n- Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.\\n\\n- Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.\\n\\n- Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.\\n\\n- Mentor and develop Staff-level engineers across the org.\\n\\n- Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.\\n\\nYou may be a good fit if you:\\n\\n- Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.\\n\\n- Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.\\n\\n- Drive the highest-leverage technical outcomes without formal authority,you lead through influence, quality of thinking, and trust.\\n\\n- Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.\\n\\n- Are highly effective across org boundaries,you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.\\n\\n- Bring strong product instincts and a craftsperson&#39;s approach to API design; you communicate clearly with both technical and non-technical audiences.\\n\\nTechnical Stack\\n\\n- Languages: Python, TypeScript\\n\\n- Frameworks: FastAPI, React\\n\\n- Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure\\n\\n- Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore\\n\\n- Tools: Feature Flagging, Prometheus, Grafana, Datadog\\n\\nDeadline to apply: None. 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This team owns the infrastructure that lets Anthropic ship model and prompt changes with confidence , the eval frameworks, system prompt pipelines, and regression-detection systems that every model launch depends on.</p>\n<p>When a new Claude model is ready to ship, this team is the one answering “is it actually better in our products?” When a product team wants to change how Claude behaves, this team owns the tooling that tells them whether they broke something. It’s a platform team whose platform is model behavior itself.</p>\n<p>The team sits deliberately at the seam between product engineering and research. You’ll partner closely with other evals groups across the company on shared infrastructure and methodology, with product teams who are shipping features on top of Claude, and with the TPMs and research PMs driving model launches. 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The Claude API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models.</p>\n<p>This role sets the technical direction for the systems that make Claude accessible to developers, enterprises, and partners at scale. You will operate at the intersection of technical strategy and execution, partnering closely with Research, Inference, Platform, Infrastructure, and Safeguards to ensure the Claude API is reliable, capable, and positioned to grow with Anthropic&#39;s ambitions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Define and drive multi-year technical strategy for the Claude API, setting direction across API Core, Capabilities, Knowledge, Distributability, and Agents.</li>\n</ul>\n<ul>\n<li>Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.</li>\n</ul>\n<ul>\n<li>Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.</li>\n</ul>\n<ul>\n<li>Partner with Research to evaluate and integrate frontier capabilities; work with Inference and Platform for reliable delivery at scale; collaborate with Infrastructure and Safeguards for reliability, security, and responsible deployment.</li>\n</ul>\n<ul>\n<li>Mentor and develop Staff-level engineers across the org.</li>\n</ul>\n<ul>\n<li>Drive alignment across Product, GTM, Safety, and beyond while proactively identifying and addressing systemic technical risks.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have 12+ years of engineering experience with a clear track record operating at Staff or Senior Staff level.</li>\n</ul>\n<ul>\n<li>Have demonstrably shaped technical strategy for large-scale API or distributed systems platforms.</li>\n</ul>\n<ul>\n<li>Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust.</li>\n</ul>\n<ul>\n<li>Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths.</li>\n</ul>\n<ul>\n<li>Are highly effective across org boundaries—you build trust with Research, Inference, Infrastructure, Safeguards, and business stakeholders alike.</li>\n</ul>\n<ul>\n<li>Bring strong product instincts and a craftsperson&#39;s approach to API design; you communicate clearly with both technical and non-technical audiences.</li>\n</ul>\n<p><strong>Technical Stack</strong></p>\n<ul>\n<li>Languages: Python, TypeScript</li>\n</ul>\n<ul>\n<li>Frameworks: FastAPI, React</li>\n</ul>\n<ul>\n<li>Infrastructure: GCP, Kubernetes, Cloud Run, AWS, Azure</li>\n</ul>\n<ul>\n<li>Databases: PostgreSQL (AlloyDB), Vector Stores, Firestore</li>\n</ul>\n<ul>\n<li>Tools: Feature Flagging, Prometheus, Grafana, Datadog</li>\n</ul>\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</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\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. 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.</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_39fabb7f-363","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/5134895008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$405,000 - $485,000 USD","x-skills-required":["Python","TypeScript","FastAPI","React","GCP","Kubernetes","Cloud Run","AWS","Azure","PostgreSQL","Vector Stores","Firestore","Feature Flagging","Prometheus","Grafana","Datadog"],"x-skills-preferred":["Distributed systems","API architecture","Design docs","Architectural calls","Coding in critical paths"],"datePosted":"2026-03-08T14:00:58.142Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, FastAPI, React, GCP, Kubernetes, Cloud Run, AWS, Azure, PostgreSQL, Vector Stores, Firestore, Feature Flagging, Prometheus, Grafana, Datadog, Distributed systems, API architecture, Design docs, Architectural calls, Coding in critical paths","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":405000,"maxValue":485000,"unitText":"YEAR"}}}]}