Engineering Manager, Agent Prompts & Evals
About Anthropic Anthropic’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.
What this role actually needs.
About Anthropic Anthropic’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. Responsibilities: - Lead and grow a team of prompt engineers and platform software engineers - 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 - 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 — these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic - 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 - Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Engineering Manager, Agent Prompts & Evals role.
- Lead and grow a team of prompt engineers and platform software engineers
- 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
- 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 — these are the team’s highest-stakes operational moments and the EM is the backstop when things get chaotic
- 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
- Recruit, close, and retain engineers who want to work at the intersection of product engineering and model behavior
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: job-boards.greenhouse.io · Source ID: 5159608008 · Confidence: 97/100 · Last checked: May 7, 2026
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