GTM Engineer - Data Platform
$200k - $220k • Remote • New York • FullTime
Posted 4h ago
About the job
Modal is building the next-generation infrastructure layer for AI, a critical need as AI workloads expand. We are a rapidly growing company with significant funding and a strong ARR, serving prominent customers like Ramp and DoorDash. Our team comprises experienced professionals and creators of popular open-source projects. The GTM Engineering team is responsible for the data, logic, and workflows that empower our Marketing and Sales teams. We approach GTM with a product management, growth engineering, and data science mindset, focusing on building systems that anticipate and deliver customer needs. We are seeking a GTM Engineer to take ownership of our GTM data platform, combining analytics engineering with revenue operations to build essential data systems for customer discovery and GTM workflows.
Responsibilities
- Build and maintain an org map and people graph to identify potential customers.
- Own identity resolution, enrichment, and CRM schemas for accurate affiliation tracking.
- Develop GTM data models in Snowflake and dbt for customer context.
- Collaborate with RevOps and Marketing on metrics, data models, and business rules.
- Partner with Data on usage forecasts and account signals, building reproducible reporting.
- Construct reverse ETL pipelines for various marketing and sales outreach efforts.
- Ensure data quality and system health, addressing issues like graph coverage and sync failures.
- Develop tooling to support reliable GTM Engineering operations, including AI agents.
Requirements
- SQL fluency and Python proficiency.
- Experience using AI coding tools and agents for development 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 movement in a business, with experience in usage-based businesses being a plus.
- High attention to detail, with a habit of testing, documenting, and monitoring systems.