GTM Data Platform Engineer for Revenue Ops

Modal Labs; New York (NY); Sur place; USD 180 000 - 230 000; Plein temps

Résumé du poste

Modal Labs is hiring a GTM Engineer to own the GTM data platform, uniting analytics engineering with revenue operations. You’ll design org maps, people graphs, and data systems that reveal researchers, engineers, and startups, enabling sharper account targeting and smarter outreach.

In NY-based GTM Engineering, you’ll partner with RevOps, Marketing, and Data to define metrics, build Snowflake/dbt models, and ship reliable tooling—from development environments to automated tests and backups.

Qualifications

• SQL fluency and Python proficiency.
• Experience building data models and production pipelines with 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; experience with usage-based businesses is a plus.
• High attention to detail and a habit of testing, documenting, and monitoring the systems you build.

Responsabilités

• Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM.
• Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources.
• Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context.
• Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution.
• Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment.
• Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility.
• Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy.
• Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills.

Connaissances

SQL

Python

Snowflake

dbt

Modal

Hex

CRM architecture

Revenue operations

Data modeling

Production pipelines

AI coding tools

Description du poste

Modal Labs is hiring a GTM Engineer to own the GTM data platform, uniting analytics engineering with revenue operations. You’ll design org maps, people graphs, and data systems that reveal researchers, engineers, and startups, enabling sharper account targeting and smarter outreach.

In NY-based GTM Engineering, you’ll partner with RevOps, Marketing, and Data to define metrics, build Snowflake/dbt models, and ship reliable tooling—from development environments to automated tests and backups.