Product Manager, Claude Science

About the role

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. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools , literature, specialized databases, scientific computing, analysis, and publication-ready outputs.

As a Product Manager on Claude Science, you will own a major area of the roadmap end to end , think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams , and help shape the overall product direction alongside the rest of the team.

Key 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 , in interviews, working sessions, and key customer conversations , and synthesize what you learn into clear priorities, requirements, and success metrics
• 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 usage, and feed them back into model development
• 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, and make sure launches land well with researchers
• 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 broader landscape
• Prototype ideas yourself with Claude to validate them before committing engineering time
• Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings
• Drive enterprise readiness , security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech , so large organizations can adopt it with confidence
• Prioritize ruthlessly across a broad surface , scientific domains, customer segments, and competing workflows , and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state
• Define how success is measured for AI research and development products , adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs , and use those measures to steer planning
• Maintain an objective, current view of the AI-for-science ecosystem , models, tools, benchmarks, and competitors , and of where Claude Science stands within it

Minimum qualifications

• Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist
• 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 scientific task
• 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
• Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions
• Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority
• Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks

Preferred qualifications

• 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus
• An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field , or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms)
• Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones
• Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations
• A track record of launching ambitious products that found distribution or commercial success
• Experience designing trusted-access or staged-rollout programs for sensitive capabilities
• A creative, hacker spirit and a love of solving hard puzzles