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.**