[Pipeline] Staff+ Software Engineer, Developer Acceleration

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San Francisco (CA)

On-site

USD 405,000 - 485,000

Full time

14 days+
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Job summary

Anthropic is seeking a Staff+ Software Engineer to join the Developer Acceleration team in San Francisco. The role involves defining agent-driven productivity, building scalable platforms, and leading technical strategies. Ideal candidates will have over 10 years of experience in large-scale distributed systems and a strong focus on productivity transformation.

The position offers a competitive salary range of $405,000 - $485,000 and requires a relevant bachelor’s degree. Candidates must also be able to collaborate across teams and support internal partners effectively.

Qualifications

  • 10+ years building and operating large-scale distributed systems.
  • 3+ years of experience leading large scale projects or teams.
  • Experience with agents and productivity transformations.

Responsibilities

  • Define agent runtime platform and strategies for agentic productivity.
  • Build and ship runtime platform and tooling.
  • Collaborate cross-team to deliver impact.

Skills

Large-scale distributed systems
Agent development
Leadership in engineering projects
Communication skills

Education

Bachelor’s degree or equivalent

Tools

CI/CD tools
Container orchestration

Job description

[Pipeline] Staff+ Software Engineer, Developer Acceleration
About the Role

Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity.

Key Responsibilities
  • Agent Runtime Platform for provisioning and running agents
  • Knowledge for providing relevant internal context to agents and humans
  • Define the future of agentic productivity at scale and at the frontier
  • Own the technical strategy and roadmap for your area, translating goals into concrete execution
  • Define what quality means for agent-driven engineering work, and hold that line across the company
  • Stay hands‑on: build and ship the runtime platform and tooling
  • Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness
  • Write evals to benchmark agent behaviors
  • Deliver impact by collaborating cross‑team
  • Own infrastructure scalability and reliability, and establish operational excellence practices
You May Be a Good Fit If You
  • Have 10+ years building and operating large‑scale distributed systems
  • Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead
  • Have a lot of experience with agents, e.g. agents doing technical/knowledge work
  • Are obsessed with productivity and transforming how we work
  • Have experience building scalable platforms
  • Have excellent communication skills and enjoy supporting internal partners
Strong Candidates May Also Have
  • Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition
  • Experience with container or VM orchestration at scale
  • Experience working with researchers and engineers
  • Developer productivity or infrastructure experience, such as CI/CD, builds, etc.
  • Experience building widely adopted CLI tools and services

Annual compensation range: $405,000 - $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location‑based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.

Visa sponsorship: We sponsor visas where possible. If we make an offer, we will make every reasonable effort to obtain a visa.

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