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Product Manager, Claude Science

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$305k - $385kFull-timePosted 1mo ago

About the role

Product Manager responsible for owning a major area of the Claude Science roadmap, collaborating with research and enterprise teams to bring new scientific capabilities to market, and ensuring trusted, enterprise-ready deployment in regulated research environments.

Responsibilities

  • Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined
  • Spend meaningful time with working scientists and synthesize findings into priorities, requirements, and success metrics
  • Partner with research to define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes, and feed them back into model development
  • Drive model and feature launches end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs
  • Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, building a business case from user usage data and landscape
  • Prototype ideas with Claude to validate them before committing engineering time
  • Work with safeguards, policy, security, and GTM partners to responsibly deliver capabilities, including in enterprise and regulated settings
  • Drive enterprise readiness — security, compliance, admin and deployment controls, procurement considerations for pharma/biotech
  • Prioritize across broad surface areas and make clear MVP vs ideal state decisions
  • Define success metrics for AI R&D products (adoption, retention, time-to-result, trust) and steer planning
  • Maintain current view of AI-for-science ecosystem, models, tools, benchmarks, and competitors

Qualifications

  • Have product management experience shipping technical products with engineering and design, or equivalent experience as founder/engineer/scientist
  • Scientific or deeply technical background to reason with domain experts and diagnose model performance on scientific tasks
  • Strong grasp of AI and LLM concepts; comfortable with model behavior, prompting, evaluation methodologies
  • Data-driven prioritization using usage data, eval results, and user evidence
  • Strong user empathy; synthesize vague/contradictory feedback from expert users into actionable priorities
  • Ability to navigate ambiguity and think from first principles across scientific domains
  • Clear written communication to align research, engineering, and GTM stakeholders through influence
  • Consider the risks/benefits of deploying frontier scientific capabilities beyond checklists

Skills

Required:Product managementScientific/technical backgroundAI/LLM conceptsData-driven decision making

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration
Last updated Sep 2, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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