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About the Role
We are seeking a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations, focusing on building systems to identify and support customers. You will partner closely with our Data team to establish a shared data foundation.
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 to ensure affiliations, roles, and relationships are accurate, current, and traceable.
- Build GTM data models in Snowflake and dbt to connect people, companies, workspaces, workloads, usage, and revenue, providing 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, including graph coverage, stale enrichment, failed syncs, and historical reporting accuracy.
- Build tooling to support reliable shipping of GTM Engineering work, including development environments, automated tests, deployments, backups, and shared AI agents and skills.
Requirements
- SQL fluency and Python proficiency.
- Experience using AI coding tools and agents for building, debugging, and automation.
- 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 lead, account, opportunity, and revenue progression through a business; experience with usage-based businesses is a plus.
- High attention to detail.
- A habit of testing, documenting, and monitoring systems.
Skills
- SQL
- Python
- Snowflake
- dbt
- Modal
- Hex
- CRM architecture
- CRM integrations
- Revenue operations
- Marketing operations
- Data modeling
- Pipeline development
- Identity resolution
- Data enrichment
- Reverse ETL
- AI coding tools
- AI agents
Location
- Remote
Work Type
- Full-time
Experience Level
- Mid-level
About the Company
- AI needs a new infrastructure layer. We're building it at Modal.
- Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno.
- We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
- We've crossed $300M+ ARR and grown fivefold since September.
- Our team includes creators of popular open-source projects (e.g., Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.