Full Stack Engineer

Fluency is enabling the autonomous Enterprise.

You're needed to help pioneer a new software category that will change how enterprises work. Welcome to the data layer of the future.

Fluency is looking for a next-level full-stack engineer to build the autonomous enterprise.

You'll be working on problems that have no established solutions . We're processing terabytes of workflow data per enterprise customer in real-time - systems that map, relationship, contextualize, and analyze work patterns across entire orgs. Think human genome project, but for enterprise workflows.

You'll invent new data primitives and paradigms. This means designing novel data structures for representing work, building pipelines that process billions of events per day, and writing whitepapers on approaches that don't exist yet.

You're operating at the bleeding edge of data science where the playbook hasn't been written.

We're backed by T1 VCs like Accel + more, and are hitting an inflection point with Enterprises all around the globe.

You'll work directly with founders and our engineering team. The technical challenges are unprecedented: real-time processing at massive scale, creating a universal taxonomy for work across every industry, and building systems that can handle the most complex enterprise data environments on earth.

About the Role

We're looking for someone with:

• Strong TypeScript skills (advocate for type safety encouraged)

• NestJS, React, Vite, Tanstack

• SQL proficiency

• Cloud Experience (AWS + GCP preferred), Docker, Actions

• PostgresSQL

• LLM API experience (major providers, not training level)

• Computer Science Background - with caveat.

* If you don't have a CS background, you're challenged to beat one of the founders in a 1:1 coding duel on a whiteboard. This isn't DS&A (you're a full stack engineer, who care what big O of N this arbitrary sort runs in). But you will be put to the full-stack test. Our founders have no technical background, and run as the benchmark.

There will be an expectation to stay up to business context, which could involve:

• Watching key customer calls

• Interacting with customers!

• Helping with product thinking

Strongly Preferred

• IaC experience (Terraform preferred)

• Monorepo enjoyer

• Python (for data pipelines, redaction and image services)

• Swift / Rust for desktop agent (this is a nice to have)

Our Customers

We work with some of the world’s largest:

• Financial services enterprises (Aon)

• Manufacturing enterprises (Misumi)

• And many more across the enterprise spectrum (PVH)

Our Culture

You're expected to be in love with the craft. You're expected to like laughing. You're expected to want to work on novel problems. You're expected to find satisfaction in novelty. You're expected to solve under obscurity.

Our Values

• In hesitation lies destruction; in action, glory.

• Those who merely meet expectations abandon the pursuit of greatness.

• One who dwells within the forum must regard it as hallowed ground.

• One who has not tasted the grapes declares them sour.

• One who sits alone at the feast misses the richness of the table.

Location

Full-time, in-person role based in San Francisco, CA.

• We offer E3 sponsorship for Australians to relocate with stipend

Compensation

• US$150K - $220K salary, depending on candidate and experience

• Substantial equity - every offer includes ownership

• Mac, Linux, or Windows - your call

• High-impact work with global enterprises

• Technical, product-led founders

Don't apply if:

• You want hybrid or remote

• You don't like working hard and with insane velocity

• You want to work a 9 -> 5

• You’re not comfortable with rapid iteration

• You prefer working on CRUD apps

• You don’t have personal projects

• You dislike AI

• You aren’t ambitious

Hiring Process

1. Resume screen

2. 1:1 with founder

3. Interview w/ engineering team

4. Work through something with the team

5. Offer

We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products — see value #5.