405K–485K USD / year

Staff+ Software Engineer, Platform Intelligence

BackendHybrid — San Francisco, CA, New York City, NY
Published on 2026-11-04
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead the design and operation of API capabilities that make Claude models’ abilities available to developers. Partner with research and other teams to shape new model capabilities into reliable, safe API features and coordinate API readiness for model launches.

About the company

Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.

The team

Platform Intelligence

What you'll do

  • Lead design, implementation, and operation of developer-facing API capabilities
  • Coordinate API readiness for new model launches across teams, SDKs, documentation, and cloud partners
  • Turn new model abilities into durable, easy-to-use API features
  • Set technical direction across teams and write design proposals
  • Improve launch processes and automate manual work
  • Build production tools and evaluations that detect capability regressions
  • Review API designs and mentor engineers

What we're looking for

  • Experience leading cross-team technical projects from design through launch and operation
  • Experience designing and operating distributed production systems
  • Strong product sense and care for API design and developer experience
  • Ability to make sound technical decisions with incomplete or changing information
  • Clear communication with technical and non-technical partners
  • Experience mentoring engineers and providing design feedback

Nice to have

  • Experience building public APIs, SDKs, or developer platforms
  • Experience with LLMs, tool use, agents, or evaluations
  • Experience coordinating launches or migrations with fixed deadlines
  • Experience building agent tools such as search or code execution
  • Experience with storage, memory, or context systems at scale
  • Experience integrating with AWS, Google Cloud, or Azure
  • Regular use of AI tools in software design, development, and review

Benefits

  • Generous vacation and parental leave
  • Flexible working hours
  • Optional equity donation matching
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