Product Manager, Scientific AI Workbench

EngineersOfAI

New York, Northern (NY, KY)

Hybrid

USD 150,000 - 210,000

Full time

11 days ago
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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

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

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