Anthropic is hiring an Engineering Manager to lead the Agent Prompts & Evals team. The team owns the infrastructure that enables safe and reliable model and prompt changes, including evaluation frameworks, dashboards, bulk runners, CI integrations, and system prompt pipelines. The role requires building and growing a mixed engineering team, owning product‑side eval platforms, collaborating with product and research groups, recruiting top talent, and shaping the future of evaluation, launch automation, and prompt engineering.
Engineering Manager, Agent Prompts & Evals at Anthropic
Hybrid - San Francisco, CA, United States
More jobs at AnthropicSalary
USD 320,000 - 405,000
Requirements
Skills
- 8+ years in software engineering with 3+ years managing engineering teams, including experience leading a platform, infra, or developer-tooling team where customers were other engineers
- 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 details
- Comfort managing a team with mixed charter: platform ownership, service-to-other-teams, launch-driven operational rhythm
- Technical depth to engage on system design, review pipeline architecture, and be credible in debates with strong ICs; ability to read and review code and leverage Claude
- Product mindset and willingness to wear multiple hats
- Demonstrated ability to build and maintain peer relationships with partner orgs
- Experience recruiting and closing senior ICs in a competitive market
- Prior exposure to LLM evals, ML experimentation platforms, or model quality work
- Experience with A/B testing infrastructure, feature flagging, or gradual rollout systems
- Background in devtools, CI/CD platforms, or testing infrastructure at scale
- History of managing teams that sit between two larger orgs and make that position an asset rather than a liability
- Interest in AI safety and alignment
Responsibilities
- Lead and grow a team of prompt engineers and platform software engineers
- Own the product-side eval platform: frameworks, dashboards, bulk runners, and CI integrations that product teams use to measure Claude’s behavior and catch regressions before they ship
- 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
- Be a steady hand through model launches — the team’s highest-stakes operational moments
- Build durable collaboration with other evals groups across the company; work on ownership boundaries, shared roadmaps, and avoiding tragedy-of-the-commons on shared eval infrastructure
- Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior
- Shape where the team invests next: frontier eval development, model launch automation, and deeper prompt engineering support
- Push the team toward measuring things that are hard to measure — behavioral drift, prompt quality, harness parity
Technologies
CI/CDA/B testingFeature flaggingPrompt engineeringModel evaluation frameworksRegression detection systemsSystem prompt pipelinesClaude (AI model)AI model monitoring
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