Staff+ Software Engineer, Enterprise AI Products
$405,000–$485,000 year
HybridNew York City, New York, United States or San Francisco, California, United States
Job Summary
Own technical design and delivery for enterprise-facing core products, end-to-end across the stack, partnering with product, design, and go-to-market to turn customer workflows into shipped features. Set technical direction and standards for architecture, code quality, and team building while working directly with enterprise customers and sales to translate insights into engineering priorities. Collaborate with research to shape evaluations, surface failure modes, and feed learnings back into model development. Mentor engineers and raise the technical bar across the team through influence. Build multi-player, asynchronous agents for department-level processes triggered by webhooks, forms, or emails. Drive cross-team alignment to ship impactful work in a 0-to-1 environment with limited precedent.
Required Qualifications
- 8+ years of software engineering experience
- 2+ years at a Staff or equivalent technical leadership level
- Led the design and delivery of complex enterprise or B2B products across the full stack
- Built AI products and know what it takes to turn model capabilities into applications people actually use
- Comfortable working directly with enterprise customers and translating what you learn into technical decisions
- Built products from 0 to 1 in fast-moving environments
- Can set technical direction with limited precedent to lean on
- Drive cross-team alignment to ship impactful work
- Influence over authority
- Bachelor's degree or an equivalent combination of education, training, and/or experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Desired Qualifications
- 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
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