About the role
Modal's GTM Engineering team builds the data, logic, workflows and agents behind Marketing and Sales. This hire owns the GTM data platform, blending analytics engineering and revenue operations.
Full-time, on-site in New York.
What you'll do
- Build an org map and people graph linking companies, labs, teams and individuals, including people beyond current users and the CRM
- Own identity resolution, enrichment and CRM schemas, with traceable sources
- Model people, companies, workspaces, usage and revenue in Snowflake and dbt as shared context for reps and agents
- Define metrics and rules for routing, territories, comp, pipeline reporting and attribution with RevOps and Marketing
- Build reconciled reporting on forecasts vs. actuals with the Data team
- Run reverse ETL for ad audiences, lifecycle, CRM enrichment, outbound and events
- Own data quality and system health, plus the team's dev tooling, tests, deploys and shared AI agents
Pay: $200k-$220k.
What they ask for
- SQL fluency and Python proficiency
- Uses AI coding tools and agents daily and helps teammates do the same
- Built data models and production pipelines (Snowflake, dbt, Modal, Hex or similar)
- Hands-on CRM architecture, integrations and revenue/marketing ops
- Understands how leads, accounts, opportunities and revenue flow
About Modal
Modal is AI infrastructure (instant GPU access, serverless compute) used by Ramp, Cognition, DoorDash and Suno. Passed $1B annualised run rate (15x in a year); raised a $750M Series D led by Accel at a $15.75B valuation in October 2026.
Original listing
Source: https://jobs.ashbyhq.com/modal/dd6fe63b-8265-474e-b1f0-fcc1c5a28daf (checked 2026-10-15). Pay on the listing: USD 200,000-220,000.