GTM Engineer - Data Platform
Modal Labs · New York · San Francisco
Infrastructureonsite$200k–$220k
At a glance
Highlights
- Own the org map and people graph connecting companies, labs, and talent.
- Build data systems that guide reps and agents with shared customer context.
- Build reporting that reconciles forecasts, actuals, and credited attainment.
Ideal candidate
A detail-obsessed analytics engineer with RevOps instincts who loves mapping complex ecosystems and building trusted, well-tested data systems that help GTM teams grow customers.
Requirements
- SQL fluency and Python proficiency
- Use AI coding tools and agents to build, debug, and automate work and help teammates do the same
- Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex
- Hands-on experience with CRM architecture, integrations, and revenue or marketing operations
- Understanding of how leads, accounts, opportunities, and revenue move through a business; usage-based experience a plus
- High attention to detail and habit of testing, documenting, and monitoring systems
Lab profile
About Modal Labs
Serverless cloud infrastructure for AI workloads with instant GPU compute.
What they build
- Serverless GPU cloud platform
- Python SDK
- Cloud sandboxes
Known for
- Systems engineering at scale
- ML performance optimization
- Developer-first experience
Posted · Last seen