Software Engineer, AI & Data Systems

Job Description

### About the Role

This is a high-ownership engineering role on a small, fast-moving team building core platform capabilities and customer-facing products at a seed-stage people data and AI infrastructure company. You will work directly with founders and customers to turn ambiguous problems into shipped, production-owned software. The role spans backend, data, infrastructure, and frontend surfaces at massive scale.

### What You'll Do

* Build and ship customer-facing products and core platform capabilities across backend, data, infrastructure, and frontend surfaces.

* Design and operate high-volume data pipelines and services with strong reliability, security, and observability.

* Build AI agents, agent harnesses, and developer tools, then operate them reliably at very large scale.

* Make architecture decisions, explain tradeoffs, and iterate designs as assumptions change.

* Work directly with founders and customers to turn vague requests into clear product decisions and working software.

* Use modern AI tools aggressively while maintaining strong engineering judgment and accountability.

### What We're Looking For

* 1 to 6 years of relevant professional engineering experience.

* Strong CS fundamentals, ideally from a rigorous academic background.

* Proven experience owning a production system end-to-end, from concept through deployment and ongoing operations.

* Strong backend coding skills: APIs, data models, and distributed systems.

* Experience at an early-stage startup (seed to Series A/B) shipping across both product and infrastructure.

* Experience building and operating high-volume data pipelines.

* Hands-on experience with AI-native development: LLMs, agent frameworks, and related tooling.

* Familiarity with identity resolution, data enrichment, or matching systems at scale is a plus.

* Compensation expectations aligned with a base salary up to approximately $220k.

### Compensation \& Benefits

Base salary range: **$200,000 to $280,000 USD annually.** Visa sponsorship is not available for this role.

### Location

On-site in **San Francisco, California, USA.**