Staff+ Software Engineer, Enterprise AI Products

Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers, focusing on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes/agents). This is a 0→1 build, shaping product and architecture. You'll be a technical leader owning end-to-end customer experience, partnering with research to push model capabilities into production.

• Own technical design and delivery for enterprise-facing core products, end-to-end across the stack.
• Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product.
• Set technical direction and standards for your team: architecture, code quality, and how the team builds.
• Work directly with enterprise customers and sales during key conversations, translating learnings into engineering priorities.
• Work closely with research to improve models: shaping evals, surfacing failure modes, feeding customer learnings back.
• Mentor other engineers and raise the technical bar.
• Build multi-player, asynchronous agents: department-level processes triggered by webhook, form, or email.

• 8+ years of software engineering experience, ideally 2+ years at Staff or equivalent technical leadership level.
• Led design and delivery of complex enterprise or B2B products across the full stack.
• Built AI products and know how to turn model capabilities into applications.
• Comfortable working directly with enterprise customers and translating learnings into technical decisions.
• Built products from 0 to 1 in fast-moving environments.
• Drive cross-team alignment with influence over authority.

• Experience working with research to improve domain-specific model capabilities, including evaluation frameworks.
• Experience building extensibility surfaces (plugins, integrations, agent tooling).
• Exposure to both product-led growth and direct enterprise sales.

Annual Salary: $405,000—$485,000 USD

Minimum education: Bachelor’s degree or equivalent. Location-based hybrid policy: expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!