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# Staff+ Software Engineer, Enterprise AI Products

- **Company:** Anthropic Limited
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Quality, Web Servers, Software Engineering, Systems Integration, Flexi (Photoshop Plugin), Claude
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-enterprise-ai-products-san-francisco-ca--8b9bc98c-9ed0-48f0-8bce-82df43fc971e

## About the Role

Software Engineering, Artificial Intelligence (AI), Artificial Intelligence (AI), Web Client Plug-ins, Technical Leadership, Customer Experience, Technical/Engineering Design, Technical Delivery, Product Shipments, Product Design, * 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

Strong candidates may also have

 * 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, Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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

## Description

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 01 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.

What you''ll do

 * 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