Staff+ Software Engineer, Enterprise AI Products

Anthropic · San Francisco, CA | New York City, NY · Engineering & Design - Product · listed July 22, 2026

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The shape of it

Seniority
Staff
Experience asked
2–8 years
Where
Hybrid
Stated pay
$405,000 – $485,000 USD
Requirements listed
6
Length
1,050 words

In the posting’s own words

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 it asks for · 6

  • 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

Also a plus

  • 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

What the job covers

  • 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

Tools and skills named

Go to market
  • Enterprise sales
  • Go-to-market
Models & research
  • Evaluations

Words the posting leans on

  • products9×
  • enterprise7×
  • technical7×
  • customer6×
  • build4×
  • experience4×
  • agents3×
  • design3×
  • directly3×
  • enterprise customers3×
  • model capabilities3×
  • research3×
  • architecture2×
  • authority2×
  • building2×
  • built products2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.