Staff+ Software Engineer, Platform Intelligence

About the Role

Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs.

Responsibilities

You will lead the design, build, and operation of API capabilities used by developers around the world. You will work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You will lead the API side of new model launches. You will plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you will make the next one faster and safer.

Requirements

• Have led technical projects that spanned several teams, from design through launch and operation
• Have designed and operated production distributed systems where correctness, latency, and availability all matter
• Have strong product sense and care about API design and developer experience
• Make sound technical decisions with incomplete information, as models and priorities change close to a launch
• Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers
• Make the engineers around you better through design review and mentoring
• Use AI tools as a regular part of how you design, build, and review software
• Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI

Nice to Have

• Building public APIs, SDKs, or developer platforms
• Working with large language models, including tool use, agents, or evals
• Running launches or migrations with fixed deadlines and many dependent teams
• Building tools for agents, such as search or code execution
• Storage, memory, or context systems at scale
• Integrating with cloud platforms such as AWS, Google Cloud, and Azure