Founding Engineer – Backend

Quin AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Founding equity

Job summary

Quin AI is seeking its first backend engineer to ship the data and workflow layer that will power an autonomous financial platform. You will own backend architecture decisions from day one in a small, fast-moving codebase.

Based in the US with preference for the San Francisco Bay Area, New York, or Chicago, you’ll help design scalable schemas and multi-tenant Postgres databases, balancing speed with correctness as the founding team grows.

Qualifications

• 5+ years backend engineering experience.
• Strong data modeling instincts with scalable schemas.
• Experience with Postgres, RLS, and multi-tenant data architectures.
• Comfort operating without process.

Responsibilities

• Ship data and workflow layer as foundation for autonomous platform.
• Own backend architecture decisions from day one.
• Contribute to a small codebase and guide scalable loading.
• Build load-bearing components for the platform.

Skills

Backend engineering

Data modeling

Postgres experience

Row Level Security (RLS)

Multi-tenant architectures

Tools

PostgreSQL

Job description

About Quin:

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.

The role:

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.

What we’re looking for:

• 5+ years backend engineering
• Strong data modeling instincts (you’ve designed schemas that had to scale)
• Experience with Postgres, RLS, and multi-tenant data architectures
• Comfort operating without process
• Finance domain familiarity a plus, not a requirement

What you won’t find here:

• Layers of existing code to decipher
• A product roadmap handed down from a PM
• An engineering culture built on velocity without judgment

Location:

US-based applicants only

Preference for San Francisco Bay Area (tech), Chicago (consumer), or New York City (finance)

Compensation

Competitive base salary + meaningful founding equity.