Software Engineer, AI & Data Systems
About the Role
Join 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 & Benefits
Salary range: $200,000 - $280,000 USD annually. Visa sponsorship is not available for this role.
Location
This is a full-time, on-site role based in San Francisco, California.