Product Manager, Claude Science

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy requires staff to work from one of the offices at least 25% of the time.

Annual salary: $305,000–$385,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Own the vision, strategy, roadmap, and execution for a major area of Claude Science.
• Work with academic, biotech, pharma, and research-institute scientists to translate workflows into product priorities and requirements.
• Partner with research teams to improve scientific model behavior, define target behaviors, and build evaluations grounded in real workflows.
• Drive model and feature launches across research, engineering, design, and go-to-market, including early-access programs.
• Identify scientific domains, data sources, tools, and integrations for future product support.
• Lead enterprise readiness, including security, compliance, deployment controls, and procurement requirements for regulated research organizations.

Requirements

• Product management experience shipping technical products with engineering and design, or equivalent founder, engineering, or scientific leadership experience.
• Scientific or deeply technical background with the ability to reason about expert workflows and diagnose model limitations.
• Strong understanding of AI and LLM concepts, model behavior, prompting, and evaluation methodology.
• Data-driven prioritization skills, strong user empathy, and the ability to synthesize expert feedback into actionable priorities.
• Clear written communication and the ability to align research, engineering, and go-to-market stakeholders through influence.
• Bachelor’s degree or equivalent education, training, or experience in a field relevant to the role.

Nice to have

• 8+ years of product management or equivalent product leadership, including 0-to-1 product development and scaling.
• Advanced degree or research experience in biology, chemistry, physics, materials science, or a related field.
• Experience building model evaluations or benchmarks, especially for agentic or scientific capabilities.
• Experience shipping products for life sciences, pharma, or other regulated research environments.
• Experience with trusted-access or staged-rollout programs for sensitive capabilities.

Culture & Benefits

• Collaborative research environment focused on high-impact AI and large-scale scientific efforts.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours and office collaboration.
• Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.