Product Manager, Claude Code Model Performance
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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Product Manager on Claude Code's model performance team, you will drive model launches end-to-end, build evals that measure what matters, and partner directly with researchers and product engineers to translate model improvements into developer-facing outcomes.
Claude Code is the most capable coding agent in the world but there’s much more we can do to extract the maximum performance from our models. We're looking for a PM who has personally built agentic evals, thinks in systems, uses Claude Code every day, and has refined model taste. You should be as comfortable influencing our research team as you are getting in the weeds of transcripts. You will be the connective tissue between frontier research and the millions of developers who depend on Claude Code to do their best work.
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
You might be a good fit if you
- 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
San Francisco and Seattle only
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
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
Location-based hybrid policy: Currentl…
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