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Modal is building a serverless cloud platform for AI, data, and compute-intensive applications. The company recently raised $355M in Series C funding at a $4.65B valuation and has crossed $300M+ ARR, serving category-defining customers like Ramp, Cognition, DoorDash, and Suno.
The GTM Engineering team is responsible for the data, business logic, workflows, and agents that enable Modal's Marketing and Sales teams to help customers succeed. This role combines analytics engineering with revenue operations to build the systems that anticipate and deliver what customers need.
As GTM Engineer - Data Platform, you will own Modal's GTM data platform, serving as the central nervous system for go-to-market operations. Your responsibilities include:
- Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups beyond existing users and CRM records.
- Own identity resolution, enrichment, and CRM schemas to ensure affiliations, roles, and relationships remain accurate, current, and traceable.
- Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, providing reps and agents with shared 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 the Data team on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, adjustments, and credited attainment.
- Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach while preserving engagement history and campaign eligibility.
- Own data quality and system health, monitoring graph coverage, enrichment staleness, failed syncs, and historical reporting accuracy.
- Build tooling to help GTM Engineering ship reliably, including development environments, automated tests, deployments, backups, and shared AI agents and skills.
You'll work closely with RevOps, Marketing, and the Data team in a fast-growing, well-funded company with a strong technical culture.
REQUIREMENTS:
- SQL fluency and Python proficiency.
- Active use of AI coding tools and agents to build, debug, and automate work; ability to help teammates adopt these tools.
- 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 how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus.
- High attention to detail with a habit of testing, documenting, and monitoring systems you build.
About Modal Labs
AI / Data / Infrastructure — serverless cloud platform for AI, data, and compute-intensive applications.
