Software Engineer, AI & Data Systems

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.