Product Manager, Claude Science

EngineersOfAI; New York, Northern (NY, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Anthropic in New York is seeking a thoughtful Product Manager for Claude Science to own a major roadmap area and drive end-to-end delivery from hypothesis to shipped features. You will partner with researchers to shape model capabilities and ensure enterprise readiness, balancing scientific ambition with practical deployment needs.

You will operate in a fast, ambiguous environment, turning scientific insights into clear product priorities and measurable impact on safety, reliability, and user

Qualifications

• Experience as product manager with scientific or technical depth.
• Ability to work with researchers and enterprise customers.
• Comfort in ambiguity and identifying non-obvious use cases.

Responsibilities

• Own vision, strategy, roadmap, and execution for a major Claude Science area.
• Spend meaningful time with scientists and synthesize insights into priorities.
• Partner with research to define evals and surface failure modes.
• Drive model and feature launches end-to-end with cross-functional teams.
• Identify scientific domains and data sources Claude Science should support next.
• Prototype ideas with Claude to validate before engineering time.
• Work with safeguards, security, and enterprise partners for trusted use.
• Ensure enterprise readiness, including security and deployment controls.
• Prioritize ruthlessly across domains and customer segments.
• Define success metrics for AI research and development products.

Skills

Product management

Roadmap strategy

Cross-functional leadership

Stakeholder management

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet.

We're growing the Claude Science product team. 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. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments.

We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research.

Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude.

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 workin