About the RoleJoin a small, fast-moving team building core platform capabilities and customer-facing products at a seed-stage people data and AI company. You'll work across backend, data infrastructure, and AI agent systems - taking ambiguous problems end-to-end from architecture through production ownership. This is a high-ownership role with direct exposure to founders and customers.
What You'll Do- Build and ship customer-facing products and platform capabilities across backend, data, infrastructure, and frontend surfaces.
- Design and operate high-volume data pipelines and services at massive scale with strong reliability, security, and observability.
- Build AI agents, agent harnesses, and developer tools - then own them reliably in production at large scale.
- Make architecture decisions, explain tradeoffs, and iterate designs as assumptions evolve.
- Work directly with founders and customers to turn vague requests into clear product decisions and working software.
- Apply modern AI development tools aggressively while maintaining strong engineering judgment and accountability.
What We're Looking For- 1-6 years of software engineering experience, with at least one production system owned end-to-end from concept through deployment and operations.
- Strong backend coding skills: APIs, data models, and distributed systems.
- Experience at an early-stage startup (seed through Series A/B) shipping across both product and infrastructure.
- Hands-on experience building and operating high-volume data pipelines.
- Strong CS fundamentals, ideally from a rigorous academic background.
- Experience with AI-native development: LLMs, agent frameworks, or similar.
- Familiarity with identity resolution, data matching, or enrichment systems at scale is a plus.
- Available to start by mid-September 2026 for an on-site residency program.
Compensation & BenefitsSalary: $200,000 - $280,000 USD annually. Visa sponsorship is not available.
LocationOn-site in
San Francisco, CA, USA. This is a full-time, in-office role.
