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Staff+ Software Engineer, Enterprise Knowledge Work

Anthropic
Hybrid - San Francisco, CA or New York City, NY, at least 25% in officeUpdated 1d ago
Compensation
$405k–$485k
Published range · Top quartile for Engineering (507 listings)
Location
Hybrid - San Francisco, CA or New York City, NY, at least 25% in office
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Engineering
AI / ML
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About the job

About the role

Anthropic's Enterprise Knowledge Work team builds products that help enterprise knowledge workers collaborate deeply with Claude. The team is building toward people and agents working together on every core work objective, from first idea to finished product.

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.
  • 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 make 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.
  • Build core primitives that enable knowledge workers to leverage Claude.

You may be a good fit if

  • 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 customer-facing 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 learnings into technical decisions.
  • Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent.
  • 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 as startup founders or early-stage employees.

Compensation

Annual Salary: $405,000—$485,000 USD

Logistics

Minimum education: Bachelor’s degree or equivalent. Required field of study: relevant field. Minimum years of experience: correlates with internal job level. 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.

What you can verify before applying

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