Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 3
Planning @ 3
Product Management @ 3
Claude Code @ 3
AI @ 3
Prompt Engineering @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
(Posting location headers: "San Francisco, CA | New York City, NY"; note the posting also states "San Francisco and Seattle only" later in the listing.)
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 / Qualifications
- 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
Compensation
Annual Salary: $305,000 - $460,000 USD
Logistics
- Minimum education: Bachelor’s degree or 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! The posting states they will make every reasonable effort to get you a visa and retain an immigration lawyer to help with this.
How we're different / Company culture
Anthropic emphasizes large-scale, high-impact AI research pursued as cohesive teams. The company values collaboration, communication, and empirical approaches to AI research. The listing references recent research directions and encourages reading their published research to understand their focus.
Benefits / Other
The company offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space to collaborate with colleagues. The job application includes candidate AI usage guidance and various application questions.