# Staff+ Software Engineer, Enterprise AI Products

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Fullstack Engineering
**Salary:** $405k – $485k/yr
**Experience:** 8+ years
**Skills:** ai products, Enterprise Software, full stack development, Technical Leadership, agent building, Evaluation Frameworks, plugins and integrations, model development
**Posted:** 2026-07-22

> Technical leader building enterprise AI products and connective tissue (plugins, skills, connectors, agents) that let Claude operate across organizations. Own end-to-end design/delivery, partner with research and customers, set technical direction, and mentor while building 0→1 capabilities.

## Job Description

## 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

## You may be a good fit if you

- 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

## Compensation

Annual Salary: $405,000—$485,000 USD

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

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.

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