About the RoleJoin a small, high-ownership engineering team at a seed-stage people data and AI infrastructure company building one of the world's largest real-time identity graphs. You'll work across backend, data, and infrastructure surfaces to ship customer-facing products and core platform capabilities - taking ambiguous problems all the way from concept to production.
What You'll Do- Build and ship customer-facing products and platform capabilities spanning backend services, data infrastructure, and frontend surfaces.
- Design and operate high-volume data pipelines and services at massive scale with a strong focus on reliability, security, and observability.
- Build AI agents, agent harnesses, and developer tooling - then own and operate them reliably in production at scale.
- Make architecture decisions, articulate tradeoffs clearly, and iterate designs as requirements evolve.
- Work directly with founders and customers to translate vague requests into clear product decisions and working software.
What We're Looking For- 1-6 years of software engineering experience, ideally at an early-stage startup (seed through Series A/B) shipping across both product and infrastructure.
- Demonstrated end-to-end ownership of a production system - from initial concept through deployment and ongoing operations.
- Strong backend engineering fundamentals: APIs, data modeling, and distributed systems.
- Hands-on experience building and operating high-volume data pipelines.
- Strong CS fundamentals, preferably from a rigorous academic background.
- Experience with AI-native development: LLMs, agent frameworks, and AI agent systems.
- Familiarity with identity resolution, data enrichment, or entity-matching systems is a plus.
- Comfortable using modern AI development tools aggressively while maintaining sound engineering judgment.
- Available to start by mid-September 2026.
Compensation & BenefitsSalary range:
$200,000 - $280,000 USD annually. Visa sponsorship is not available for this role.
LocationThis is a full-time, on-site role based in
San Francisco, California.
