# Product Manager, Claude Science

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $305,000-$385,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5394887008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_63219f47-4ba

## Description

## 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

## Skills

### Required
- AI
- LLM
- product management
- scientific background
- data-driven decision making

### Nice to have
- biology
- chemistry
- physics
- materials science
- computational biology
- cheminformatics
- lab informatics
- simulation
- scientific data platforms

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