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 company. You will work directly with founders and customers to take ambiguous problems from concept through deployment, owning systems end-to-end in production at massive scale.

WHAT YOU'LL DO - Build and ship customer-facing products 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 evolve. - Collaborate directly with founders and customers to turn vague requirements into clear product decisions and working software. - Use modern AI development tools aggressively while maintaining strong engineering judgment and accountability.

WHAT WE'RE LOOKING FOR - 1 to 6 years of relevant professional software engineering experience. - Strong backend engineering skills: APIs, data models, and distributed systems. - Proven ownership of a production system from concept through deployment and ongoing operations. - Experience shipping across product and infrastructure at an early-stage startup. - Experience building and operating high-volume data pipelines. - Strong computer science fundamentals, ideally from a rigorous academic background. - Familiarity with AI-native development: LLMs, agent frameworks, or similar tooling is a plus. - Experience with identity resolution, data enrichment, or matching systems at scale is a plus.

COMPENSATION & BENEFITS

Base salary range: $200,000 to $220,000 USD annually (maximum base approximately $220,000). Equity participation is available as part of the total package. Visa sponsorship is not available for this role.

LOCATION

This is a full-time, on-site role based in San Francisco, California.