GTM Engineer - Data Platform
Modal · New York
About this role
## GTM Engineer — Data Platform ### About Modal AI needs a new infrastructure layer—and we’re building it at Modal. Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage to enable low-latency inference, fine-tuning, and production-ready sandboxes at scale. We recently raised a **$355M Series C** at a **$4.65B valuation**, have crossed **$300M+ ARR**, and have grown **fivefold since September**. ### About GTM Engineering GTM Engineering owns the data, business logic, workflows, and agents that help our Marketing and Sales teams deliver value to customers. Much of the work happens behind the scenes: building systems that anticipate and deliver what customers need to grow on Modal. ### What You’ll Do - **Build and maintain** an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups (including beyond existing users and CRM). - **Own identity resolution, enrichment, and CRM schemas** so 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—so reps and agents share a consistent 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 help GTM Engineering ship reliably (dev environments, automated tests, deployments, backups, and shared AI agents/skills). ### What You Should Have - **SQL fluency** and **Python proficiency**. - Experience using **AI coding tools and agents** to build, debug, and automate work. - Experience building **data models and production pipelines** with tools like **Snowflake**, **dbt**, **Modal**, or **Hex**. - Hands-on experience with **CRM architecture**, integrations, and **revenue/marketing operations**. - Understanding of how **leads, accounts, opportunities, and revenue** move through a business (usage-based experience is a plus). - High attention to detail, plus a habit of **testing, documenting, and monitoring** systems you build.
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