Описание
) solve personal finance for people. It is a consumer-focused company. ai I spent 13 years in private banking and have been working on Quin alone for about 15 months.
I built 6 different prototypes to test different approaches. I've spent the last few weeks working with testers on the latest version and solidifying GTM. I need someone to take over engineering with a focus on building the backend and data layers that will support our agentic approach to personal finance.
Georgetown. UCLA (MBA). Ex-JPMorgan.
Traction: Prototype with testers
The role
You're the first engineering hire. This is about shipping the workflows that will become the product that users will trust and the data layer that can support an agent in the future. You'll own backend architecture decisions from day one.
Contract-first development (TypeScript contracts repo as source of truth), FastAPI, Supabase/Postgres, Groq for LLM inference. The stack is clean and the codebase is small. Who I'm looking for: A full-stack engineer with a preference for backend.
5+ years backend engineering; Python / FastAPI preferred. Strong data modeling instincts — you've designed schemas that had to scale. Experience with multi-tenant data architectures.
Comfort operating without process. Finance domain familiarity a plus, not a requirement. Comfort and experience using AI tools and incorporating new ideas quickly.
For the right person, this is an opportunity to take a CTO/co-founder role and define the full technical path. Comp: Salary post-raise and meaningful equity. TBH, finding this role (either version) will be important for rasisng capital given that I do not have a technical background and fintech is complicated by regulations.
I'm ok with part-time in t
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