Job Description
Job DescriptionAbout 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
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Build and ship customer-facing products across backend, data, infrastructure, and frontend surfaces.
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Design and operate high-volume data pipelines and services with strong reliability, security, and observability.
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Build AI agents, agent harnesses, and developer tools, then operate them reliably at very large scale.
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Make architecture decisions, explain tradeoffs, and iterate designs as assumptions evolve.
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Collaborate directly with founders and customers to turn vague requirements into clear product decisions and working software.
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Use modern AI development tools aggressively while maintaining strong engineering judgment and accountability.
What We're Looking For
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1 to 6 years of relevant professional software engineering experience.
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Strong backend engineering skills: APIs, data models, and distributed systems.
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Proven ownership of a production system from concept through deployment and ongoing operations.
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Experience shipping across product and infrastructure at an early-stage startup.
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Experience building and operating high-volume data pipelines.
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Strong computer science fundamentals, ideally from a rigorous academic background.
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Familiarity with AI-native development: LLMs, agent frameworks, or similar tooling is a plus.
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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.