Data Scientist, GTM
Cursor · San Francisco, CA · 2 wk ago
EngineeringFull-time
About the role
The role is hands-on and high-leverage, setting the technical and analytical bar for the GTM Analytics team. You will own the GTM data models and pipelines, build a trustworthy semantic layer, and use that foundation to answer critical business questions.
Responsibilities
- Own the GTM data models and pipelines that power analysis - building and maintaining them, setting high quality standards, and creating a safe and consistent semantic layer GTM can build on.
- Run deep-dive analyses on what's driving (and blocking) revenue: funnel conversion, segment performance, customer success, and rep productivity.
- Optimize the forecasting, quota, and capacity models leadership plans against, and pressure-test the assumptions behind them.
- Define how GTM interacts with data in an AI-first way—what's self-serve via Cursor and what's prebuilt into governed dashboards and applications.
- Partner with the product Data and Enterprise Engineering teams to ensure GTM has the data it needs and uses consistent pipelines, definitions, and models wherever possible.
Requirements
- Your SQL is exceptional (non-negotiable), and you're fluent working across large, complex datasets.
- You've built and maintained production data pipelines and models, and you pick up unfamiliar data structures quickly—CRM and GTM systems included.
- You've built forecasting, quota, or capacity models, and you're a strong modeler in both code and spreadsheets.
- You're comfortable with experimentation and causal inference, and you know when a quick read beats a rigorous one—and when it doesn't.
- You can operationalize metrics and tooling for non-technical stakeholders so they can self-serve.
- You have strong analytical judgment and can move between the big picture and the details—from "how should we measure GTM health?" to "why is this one segment's conversion off?"
Qualifications
- Direct experience with GTM, revenue, or sales analytics is preferred, but a strong analytics or data-science background and the drive to go deep on the GTM domain matter more.
- You operate with high ownership, are comfortable pushing back on senior leaders, and bias toward durable systems over one-off decks.