We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
We're hiring a technical Data Engineer to own our full data stack – from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance.
Design and manage database architecture and data models
Build and maintain ETL/ELT pipelines and orchestration workflows
Create and manage new data integrations across internal and external systems
Own business reporting: datasets, dashboards, metrics, and self-serve analytics
Ensure data quality, observability, governance, and documentation
4+ years in a data engineering, data science, or full-stack data role
Expert on SQL and Python (required)
Experience with data modeling, warehouse architecture, and BI-oriented schema design
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
Experience building or maintaining BI reporting (Metabase a plus)
Experience developing scalable backend heavy applications
Strong knowledge of statistics and experimentation
Based in SF or NYC
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
Cognition's Semantic Natural Language Processing (NLP) technologies add word and phrase meaning and understanding to computer applications, providing a technology and/or end-user with actionable content based upon a semantic knowledge of the language. This understanding results in simultaneously much higher precision and recall of salient data within the universe of possible results.
Location
San Francisco, CA
Total raised
$2.1B
Last stage
Series D
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.