GTM Engineer - Data Platform

Responsibilities

• Build and maintain an organizational map and people graph connecting companies, labs, teams, and individuals.
• Own identity resolution, enrichment, CRM schemas, and source traceability for affiliations, roles, and relationships.
• Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue.
• Define and implement metrics, business rules, routing, territory assignments, compensation, pipeline reporting, and attribution with RevOps and Marketing.
• Build reporting for usage forecasts, account signals, actuals, forecasts, adjustments, and credited attainment.
• Build reverse ETL pipelines for advertising audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach.
• Own data quality and system health, including graph coverage, enrichment freshness, failed synchronizations, and historical reporting accuracy.
• Build development, testing, deployment, backup, and AI-agent tooling that helps GTM Engineering ship reliably.

Requirements

• Fluency in SQL and proficiency in Python.
• Regular use of AI coding tools and agents to build, debug, and automate work.
• Experience building data models and production pipelines with tools such as 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.
• Strong attention to detail and experience testing, documenting, and monitoring systems.