5-7 years of experience in data modeling and pipeline development
Proficient in SQL and Python, with experience using AI coding tools
Hands-on experience with CRM systems and revenue operations
Familiarity with tools like Snowflake, dbt, Modal, or Hex
Understanding of business processes related to leads, accounts, and revenue
Strong attention to detail and commitment to system monitoring and documentation
Responsibilities
Build and maintain an organizational map and people graph for identifying key stakeholders
Own identity resolution and CRM schemas to ensure data accuracy and traceability
Develop GTM data models in Snowflake and dbt for comprehensive customer context
Collaborate with RevOps and Marketing to establish metrics and business rules
Partner with Data to create accurate usage forecasts and reporting
Construct reverse ETL pipelines for various outreach and campaign needs
Ensure data quality and system health across all platforms
Create tools to support reliable GTM Engineering operations
Benefits
Flexible work environment with opportunities for remote work
Access to cutting-edge tools and technologies
Collaborative culture that encourages innovation and teamwork
Professional development opportunities and support for continuous learning
Health and wellness benefits to support employee well-being
Full Job Description
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.
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.
What You Should Have:
SQL fluency and Python proficiency.
You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same.
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.
An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus.
High attention to detail and a habit of testing, documenting, and monitoring the systems you build.
