Anthropic
Staff+ Software Engineer, Enterprise Knowledge Work
$405K–$485K
San Francisco, CA +2 · Staff · Full-time · Posted Jul 2, 2026
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- 8+ years; ideally 2+ years at Staff or equivalent technical leadership level. Logistics also states experience will correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not guaranteed for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Leads technical design and delivery of enterprise products that help knowledge workers collaborate with Claude, shaping product direction and model improvements with customer and research feedback.
What you'll do
- Own end-to-end technical design and delivery of enterprise-facing products, setting architecture and engineering standards.
- Work with customers, sales, product, design, and go-to-market to translate workflows into shipped products and engineering priorities.
- Partner with research on evaluations and model improvements; mentor engineers and build reusable product primitives.
What they ask for
- 8+ years of software engineering experience; ideally 2+ years at Staff or equivalent technical leadership level.
- Led design and delivery of complex customer-facing products across the full stack.
- Built AI products and can turn model capabilities into useful applications.
- Comfortable working directly with enterprise customers and setting technical direction in fast-moving environments.
Nice to have
- Experience partnering with research on domain-specific model capabilities and evaluation frameworks.
- Startup founder or early-stage employee experience.
Pay
$405,000 — $485,000 USD base salary
Tools
Claude
AI focus
Build enterprise AI products with Claude; collaborate with research to shape evaluations, identify failure modes, and feed customer learnings into model development.
Model-written summary · the original posting is authoritative