Staff+ Software Engineer, Enterprise AI Products

Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization.

A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet.

You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next.

- 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, 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 and sales during key conversations, translating what you learn into engineering priorities

- Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development

- Mentor other engineers and raise the technical bar across the team, working with influence rather than authority

- Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing

- 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 enterprise or B2B products across the full stack

- Have built AI products and know what it takes to turn model capabilities into applications people actually use

- 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

- Experience working with research to improve domain-specific model capabilities, including evaluation frameworks

- Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on

- Exposure to both product-led growth and direct enterprise sales