Product Manager, Claude Code Model Performance

About the role

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

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

Qualifications

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
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Pay

Annual Compensation Range: $305,000—$460,000 USD

Schedule

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.