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Quin AI, a personal financial intelligence platform, is seeking its first backend engineer in the US. You will own backend architecture decisions from day one and build the data and workflow layer to underpin an autonomous platform.
With 5+ years of backend experience and a strong data-modeling background, you will design scalable schemas, work with Postgres, RLS, and multi-tenant architectures, and thrive with minimal process in a fast-paced startup.
Quin is a personal financial intelligence platform. We are building an orchestration layer that routes across financial domains, so users are financially autonomous. The thesis: the advice dependency was always built on information scarcity and computation inaccessibility. Neither exists anymore.
A prototype is in market with testers and is iterating. We’re raising to accelerate our process and the capital funds this hire.
You’re the first engineering hire. The next 18 months are about shipping the data and workflow layer as the foundation to support an autonomous and agentic platform.
You’ll own backend architecture decisions from day one. The stack is clean and the codebase is small. What you build now becomes load-bearing.
US-based applicants only
Preference for San Francisco Bay Area (tech), Chicago (consumer), or New York City (finance)
Competitive base salary + meaningful founding equity.