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.

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.