Product Manager, Claude Code Model Performance

Anthropic$305K — $460K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of product management or engineering experience
  • Hands-on experience building agentic evals (SWE-bench-style task suites)
  • Deep understanding of AI concepts including model behavior and evaluation methodologies
  • Proficient in prompt engineering and translating user feedback into product improvements
  • Experience launching products in research-oriented, ambiguous environments
  • Strong systems thinker with a creative problem-solving mentality
  • Frequent user of Claude Code with a critical understanding of its functionalities

Responsibilities

  • Plan and execute model launches for Claude Code, ensuring clean integration with developers
  • Design and implement agentic evals that accurately measure coding performance
  • Drive the evaluation roadmap for engineering teams to enhance theoretical frameworks
  • Collaborate with researchers to define desired model behaviors based on real-world data
  • Engage with users, analyze usage transcripts to identify capability gaps, and integrate research into product enhancements
  • Aggregate insights from internal users and competitive analyses to set clear product priorities

Benefits

  • Visa sponsorship assistance available
  • Hybrid work policy with at least 25% in-office presence required
  • Encouragement for diverse candidates to apply, emphasizing representation in AI systems
  • Supportive resources aimed at navigating application challenges for underrepresented groups
Full Job Description
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. Annual Salary: $305,000-$460,000 USD 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: 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. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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