Anthropic is seeking a Product Manager to lead the Claude Code model performance team. The role involves driving model launches from ideation to deployment, creating and executing agentic evaluation suites, and collaborating closely with researchers and engineering to translate improvements into developer-facing outcomes. Candidates should have product management experience, engineering background, deep AI knowledge, and a systems-thinking mindset.
Product Manager, Claude Code Model Performance at Anthropic
Hybrid - San Francisco, CA; Seattle, WA
More jobs at AnthropicSalary
USD 305,000 - 460,000
Requirements
Skills
- Have personally built agentic evals (e.g. SWE-bench-style task suites)
- Are a daily Claude Code user and can articulate what behaviors you’d want to change or add to the model
- Have an engineering background and 2+ years in product management, or equivalent experience driving product direction as an engineer
- Have a deep grasp of AI concepts and are comfortable going deep on model behavior, prompt engineering, and evaluation methodology
- Are a systems thinker: when you find a problem, you build the infrastructure that prevents its whole class
- Have launched products or capabilities in ambiguous, research-adjacent environments
- Have a creative, hacker spirit and love solving puzzles
Responsibilities
- Own model launch planning and execution for Claude Code: define readiness criteria, coordinate across research and product engineering, and ensure launches land cleanly with developers
- Design and implement agentic evals that measure real-world coding performance
- Drive the engineering team's eval roadmap
- Partner with researchers working on coding capabilities to define target behaviors and influence model development with evidence from real usage
- Talk with users and analyze transcripts to understand capability gaps and turn research progress into shipped improvements
- Synthesize signal from internal users, external developers, and competitive benchmarks into clear priorities
Technologies
Claude CodeSWE-benchAI evaluation frameworksPrompt engineeringAI concepts
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