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 data engineer to build the data infrastructure the ontologizes how work happens across Fortune 500 organizations.
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 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 programming knowledge, Python preferred
Software engineering fundamentals - APIs, backend services
SQL + DBT (or SQLMesh) proficiecy
Infrastructure as code: Terraform (or equivalent)
Orchestration: Dagster/Airflow/Prefect
Production postgres experience
Datalake experience (Iceberg, Databricks, etc)
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 whiteboard duel on DS\&A judged by Hung. Neither founders have formal CS background, but come prepped.
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
Has trained models before (even personal projects count, perhaps especially)
You have interesting personal projects
Pytorch or similar framework experience
Kubernetes
Ray for distributed compute
Understand ML/DL systems from an infra perspective
Deep learning theory understanding
Esoteric knowledge
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 - $250K 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
Resume screen
1:1 with founder
Interview w/ engineering team
Work through something with the team
Offer
We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products — see value #5.
Compensation Range: $150K - $250K