Anthropic
Staff+ Software Engineer, Platform Acceleration
$405K–$485K
San Francisco, CA +3 · Staff · Full-time · Posted Oct 13, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
San Francisco, California, United States - Experience
- Years required correlate with the internal job level; no specific number stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience. Relevant field of study, demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Build and operate internal developer tools and systems that help Anthropic’s product engineers safely ship software faster, including changes authored by Claude.
What you'll do
- Set technical strategy and roadmap, and solve complex engineering problems across teams.
- Define and implement tooling to assess changes throughout the software development lifecycle.
- Build agents for repetitive engineering work and develop tools with partner teams to address developer friction.
What they ask for
- Production experience building and operating backend services or infrastructure in Go, Python, Rust, or TypeScript.
- Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems.
- Experience leading complex technical projects across teams from ambiguous problem to adopted solution.
- Clear written and verbal communication, including supporting internal partner teams; interest in Anthropic’s mission.
Nice to have
- Startup or similarly small-team experience taking a product from zero to one; substantial experience with agents doing technical work.
- Experience with widely adopted developer tools, measuring developer productivity, or assessing how agents change software engineering.
Pay
$405,000 — $485,000 USD annual salary (base salary)
Tools
Go, Python, Rust, TypeScript, CI/CD, GitHub
AI focus
Build agents to diagnose failures, fix broken tests, and run migrations; define trust and safety standards for software changes, especially those written by Claude.
Model-written summary · the original posting is authoritative