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Join 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.
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.
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.
Salary: $200,000 – $280,000 USD annually. Visa sponsorship is not available.
On-site in San Francisco, CA, USA. This is a full-time, in-office role.
