Anthropic
Staff+ Software Engineer, Enterprise AI Products
$405K–$485K
San Francisco, CA +2 · Staff · Full-time · Posted Jul 22, 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. The posting also says required years correlate with internal job-level requirements.
- 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 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 the design and delivery of enterprise AI products that help Claude operate across organizational workflows, including asynchronous agents and integrations.
What you'll do
- Own end-to-end technical design and delivery; set team architecture and engineering standards.
- Turn enterprise customer workflows into products, working with product, design, sales, and go-to-market teams.
- Partner with research to evaluate and improve model capabilities, while mentoring engineers and guiding technical direction.
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 full-stack enterprise or B2B products.
- Built AI products and can translate model capabilities into useful applications.
- Experience working directly with enterprise customers and setting technical direction in fast-moving, 0-to-1 environments.
Nice to have
- Worked with research on domain-specific model capabilities or evaluation frameworks.
- Built extensibility surfaces such as plugins, integrations, or agent tooling; exposure to product-led growth and direct enterprise sales.
Pay
$405,000–$485,000 USD annual salary (base salary)
AI focus
Build enterprise AI applications and asynchronous agents; work with research on evaluations, failure modes, and improving model capabilities for enterprise workflows.
Model-written summary · the original posting is authoritative