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Anthropic Posted 30+ days ago

Product Manager, Claude Science

Location

San Francisco

Contract

Permanent

Full-time

Salary

$305–385k

Gross per year

Experience

8+ years

Lead level

Job summary

Responsibilities

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.

  • 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 — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities…
  • Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real…
  • Drive model and feature launches in your area 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, and build the case with evidence from users, usage data, and the…

What they're looking for

  • Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder…
  • Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a…
  • Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology
  • Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone
  • Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities

Read the full job posting

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