The opportunity
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade.
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 people beyond our existing users and CRM
Own identity resolution, enrichment, and CRM schemas so affiliations, roles,: and relationships stay accurate, current, and traceable to their sources
Build GTM data models in Snowflake and dbt connecting people, companies,: workspaces, workloads, usage, and revenue, giving reps and agents 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
What they're looking for
- Own data quality and system health, from graph coverage and stale enrichment: to failed syncs and historical reporting accuracy
- Build the tooling that helps GTM Engineering ship reliably, from development: environments, automated tests, and deployments to backups and shared AI agents and skills
- You’re fluent in SQL and proficient in Python
- You already use AI coding tools and agents to build, debug, and automate your: work, and help teammates do the same