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Staff+ Software Engineer, Platform Intelligence

Lead the design and operation of API capabilities for Claude models at Anthropic, ensuring seamless developer experience.

Location
San Francisco, CA, United States
Compensation
$405k–$485k/yr
Level
staff
Type
full time · Hybrid

Posted by employer 23 hours ago

First seen on Joblaze 15 hours ago

Last verified on the company career page 15 hours ago

What you'll build

  • Lead API readiness for a Claude model launch
  • Take a new model ability from research prototype to public API feature
  • Build and operate tools such as web search and code execution
  • Automate the manual parts of a model launch
  • Build the evals that catch a capability regression before a launch

Must have

  • Led technical projects that spanned several teams
  • Designed and operated production distributed systems
  • Strong product sense and care about API design
  • Make sound technical decisions with incomplete information
  • Explain tradeoffs clearly to non-engineers
  • Make the engineers around you better through design review

Nice to have

  • Building public APIs, SDKs, or developer platforms
  • Working with large language models
  • Running launches or migrations with fixed deadlines
  • Building tools for agents
  • Integrating with cloud platforms such as AWS, Google Cloud, and Azure

Practical constraints

  • Currently, we expect all staff to be in one of our offices at least 25% of the time

AI in the day-to-day

Use AI tools as a regular part of how you design, build, and review software.

Requirements

Education
Bachelor's degree
Visa
Sponsorship available

Not disclosed in this posting: years of experience.

Benefits

Unlimited PTO Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In this role, the Staff+ Software Engineer for Platform Intelligence at Anthropic will focus on designing and implementing API capabilities that leverage the latest Claude models, ensuring they are user-friendly and robust. Key skills include experience with distributed systems, API design, and a strong understanding of developer needs, as well as the ability to lead cross-team projects from conception to launch. This position is ideal for someone with a solid background in software engineering and a passion for building impactful AI systems. The team operates at the intersection of research and product, emphasizing collaboration and communication.

Joblaze insights

  • Listed today — first seen on Joblaze November 4, 2026. Last confirmed on Anthropic's careers page November 4, 2026.
  • Salary band is above the typical range for AI/ML roles (median ~$190,000).
  • Starts above 91% of 179 comparable staff ai/ml roles in United States we track (median $230,000 across 53 companies).
  • API appears in 2.2% of 268 comparable staff ai/ml roles in United States; Claude appears in 1.5% of 268 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff+ Software Engineer, Platform Intelligence role remote?
It's hybrid — Anthropic expects some on-site time in San Francisco, CA, United States.
What's the salary range?
Anthropic lists $405,000–$485,000 for this role.
Where is the role based?
Anthropic is hiring for this position in San Francisco, CA, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: API, Claude, code execution, web search.
Does Anthropic sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Anthropic targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff+ Software Engineer, Platform Intelligence role at Anthropic.

From the original posting

About Anthropic

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.

We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day.

The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production.

What you'll do

You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll 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'll lead the API side of new model launches. You'll 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'll make the next one faster and safer.

You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team.

Representative projects

  • Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners
  • Take a new model ability from research prototype to public API feature, from interface design to production rollout
  • Build and operate tools such as web search and code execution under real traffic
  • Automate the manual parts of a model launch
  • Build the evals that catch a capability regression before a launch

You might be a good fit if you:

  • 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

Strong candidates may also 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

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.

The annual compensation range for this role is listed below.

Annual Salary:
$405,000—$485,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

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