Staff+ Software Engineer (Vertical AI Products)

TL;DR

Staff+ Software Engineer (Vertical AI Products): Own end-to-end technical design and delivery for vertical and enterprise products that bring Claude into financial services, science, healthcare, and enterprise AI workflows, with an accent on full-stack architecture, model-to-application integration, and evals/failure-mode feedback loops. Focus on translating enterprise customer workflows into shipped product, setting technical direction and standards, and mentoring engineers while partnering directly with research and enterprise stakeholders.

Location: San Francisco, CA | New York City, NY

Salary: $405,000 - $485,000 USD (annual)

Company

Anthropic builds reliable, interpretable, and steerable AI systems.

What you will do

• Own technical design and delivery for a core piece of a vertical or enterprise product end-to-end across the stack.
• Partner with research to improve domain model capabilities by shaping evals, surfacing failure modes, and feeding customer learnings back into model development.
• Collaborate with product, design, and go-to-market to turn enterprise workflows into shipped product outcomes.
• Set technical direction and standards for the team, including architecture and code quality.
• Work directly with enterprise customers and sales to translate insights into engineering priorities.
• Mentor engineers and raise the technical bar through influence and technical leadership.

Requirements

• 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level.
• Led design and delivery of complex enterprise or B2B products across the full stack.
• Built AI products and understand what it takes to turn model capabilities into applications people actually use.
• Comfort working with enterprise customers and translating learnings into technical decisions.
• Experience building products from 0 to 1 in fast-moving environments with limited precedent.
• Ability to drive cross-team alignment to ship impactful work with influence over authority.

Nice to have

• Experience working with research to improve domain-specific model capabilities, including evaluation frameworks.
• Deep domain knowledge in one of: investment banking/asset management/insurance/corporate finance; scientific research or computational biology; clinical operations/health systems/payers; or enterprise platform work.
• Exposure to both product-led growth and direct enterprise sales.

Culture & Benefits

• Location-based hybrid policy: expect staff to be in an office at least 25% of the time (some roles may require more).
• Visa sponsorship available; not guaranteed for every role/candidate.
• Generous vacation and parental leave, flexible working hours, and optional equity donation matching.
• Collaborative office environment and frequent research discussions.
• Recruiters contact only from @anthropic.com; guidance provided for safe use of AI during the application process.

Hiring process

• Team placement happens during the interview process based on background, interests, and organizational need.
• Interviews evaluate technical leadership, end-to-end product ownership, and collaboration with research and enterprise stakeholders.