18 hours ago
Base Salary
$200k - $220k/yr
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.
About Modal
Modal builds a serverless compute platform for AI and data workloads, offering instant GPU access, sub-second container starts, and native storage to run inference, fine-tuning, and batch jobs. It sells a usage-based cloud service to developers and ML teams to deploy generative models and pipelines. Privately held and headquartered in New York City, its customers include companies like DoorDash and Ramp.