Staff+ Software Engineer, Enterprise (Full Stack)

San Francisco, CA | New York City, NY · San Francisco · USD 405,000-485,000 / year · 2+ years experience · Hybrid · Posted Oct 16, 2026

At a glance

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic is looking for a Staff+ Full Stack Engineer for its Enterprise pillar to make Claude enterprise-ready at scale.
This high-agency role involves building admin, governance, and management experiences for IT leaders, security teams, and end users at the world's largest enterprises.

Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them.
Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec.
Set technical direction and standards for your team: architecture, code quality, and how the team builds.
Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities.
Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale.
Mentor other engineers and raise the technical bar across the team, working with influence rather than authority.

Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level.
Have led the design and delivery of complex customer-facing products across the full stack.
Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes.
Are comfortable working directly with enterprise customers and translating what you learn into technical decisions.
Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on.
Drive cross-team alignment to ship impactful work, with influence over authority.
Bachelor’s degree or an equivalent combination of education, training, and/or experience.
A field of study relevant to the role as demonstrated through coursework, training, or professional experience.

Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility).
Experience building AI products and turning model capabilities into applications people actually use.
Experience as startup founders or early-stage employees.

Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time, though some roles may require more time in our offices.