Analytics Engineer
We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and 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 and Windsurf 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.
About the Role
We’re hiring a technical Analytics Engineer to own our full data stack – from database architecture and pipelines to integrations and reporting. You’ll design and maintain the systems that keep our data reliable, accessible, and actionable across the company with a particular focus on product and GTM reporting.
In this role you will:
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
Requirements for the role:
4+ years in a data engineering, data science, or full-stack data role
Expert SQL and strong Python (or R)
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)
Strong knowledge of statistics and experimentation
Based in SF or NYC