5-7 years of experience in data modeling and pipeline development.
Proficient in SQL and Python, with hands-on experience in AI coding tools.
Familiarity with Snowflake, dbt, Modal, or Hex for building data models.
Experience with CRM architecture and integrations, particularly in revenue or marketing operations.
Understanding of business processes related to leads, accounts, and revenue, especially in usage-based models.
Strong attention to detail with a focus on testing and documentation.
Responsibilities
Build and maintain an organizational map and people graph to connect various stakeholders.
Own and manage identity resolution and CRM schemas for accurate data tracking.
Develop GTM data models in Snowflake and dbt to provide a shared customer context.
Collaborate with RevOps and Marketing to implement metrics and business rules for operations.
Partner with Data to create forecasts and reporting that align with actual performance.
Construct reverse ETL pipelines for various outreach and campaign needs.
Ensure data quality and system health across all platforms and reporting.
Benefits
Flexible work environment with opportunities for remote work.
Access to cutting-edge tools and technologies for data management.
Collaborative culture that encourages innovation and teamwork.
Professional development opportunities to enhance skills and career growth.
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.
