Product Manager, Claude Code Model Performance
Drive end-to-end model launches for Claude Code, build agentic evals measuring real-world coding performance, and partner with researchers to translate model improvements into developer outcomes. Requires engineering background, 2+ years PM experience, daily Claude Code usage, and experience building agentic evaluations.
About the job
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
Requirements
- 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
Nice-to-Haves
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Skills
Agentic Evals, Swe-Bench, Prompt Engineering, Model Evaluation, Ai Concepts, Systems Thinking, Product Launch Planning, User Research, Transcript Analysis, Competitive Benchmarking
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