GTM Data Platform Engineer - Revenue & Growth Analytics

Modal; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Modal in New York is seeking a GTM Engineer to own the GTM data platform, blending analytics engineering with revenue operations to support sales and marketing.

You will build an org map, identity resolution, and data models in Snowflake and dbt, partnering with Data, RevOps, and Marketing to enable accurate forecasting and campaign execution.

This role emphasizes data quality, scalable tooling, and reproducible reporting to help identify future customers and drive growth.

Qualifications

• SQL fluency and Python proficiency.
• Experience building data models and production pipelines with Snowflake, dbt, Modal, or Hex.
• Hands-on CRM architecture, integrations, and revenue or marketing operations.
• Understanding of how leads, accounts, opportunities, and revenue move through a business.
• High attention to detail with testing, documentation, and monitoring.

Responsibilities

• 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.

Skills

SQL fluency

Python proficiency

AI coding tools usage

Attention to detail

Data-driven mindset

Tools

Snowflake

dbt

Modal

Hex

Job description

Modal in New York is seeking a GTM Engineer to own the GTM data platform, blending analytics engineering with revenue operations to support sales and marketing.

You will build an org map, identity resolution, and data models in Snowflake and dbt, partnering with Data, RevOps, and Marketing to enable accurate forecasting and campaign execution.

This role emphasizes data quality, scalable tooling, and reproducible reporting to help identify future customers and drive growth.