Principal GTM Data Engineer – Architect

Role Overview

• Architect and implement the unified GTM data spine across CRM, marketing automation, product telemetry, billing, enrichment providers, partner data, and the warehouse.
• Establish identity resolution, deduplication, and source-of-truth logic across systems.
• Define canonical schemas that we’ll use to operate the business, enable AI across teams and drive results.
• Build scalable ELT/ETL pipelines and orchestration workflows tailored to revenue activation.
• Implement governance, lineage, access control, and quality monitoring for GTM data assets.
• Partner closely with the BI / enterprise data team to align on shared infrastructure while owning GTM-specific models and activation layers.
• Develop and productionize segmentation and scoring models (ICP scoring, ABM prioritization, expansion propensity, trial health, pipeline likelihood).
• Apply statistical and machine learning techniques to improve scoring, targeting, routing, and revenue predictability.
• Design experimentation and measurement frameworks for GTM programs.
• Operationalize predictive outputs directly into GTM systems via agents, reverse ETL, or custom integration (Salesforce workflows, outbound automation, lifecycle programs, ABM platforms, partner programs).
• Architect customer and prospect intelligence systems integrating first-party, enrichment, and ecosystem signals.
• Develop frameworks for ecosystem intelligence (partner influence, marketplace signals, derived demand).
• Enable real-time or near-real-time signal activation to sales and marketing teams.
• Design structured data systems that power future AI-driven revenue workflows.
• Manage and direct external agency/consulting partners executing against the GTM data roadmap.
• Establish architectural standards and technical review processes.
• Define the build vs. buy strategy for GTM data systems.
• Develop the long-term roadmap for in-house data capability.

Requirements

• 10+ years of experience in data engineering, analytics engineering, revenue data, or related leadership roles.
• Demonstrated experience standing up a GTM or revenue data function from the ground up.
• Deep hands-on expertise with modern data stack tools (cloud warehouse, transformation layer, orchestration, reverse ETL).
• Advanced proficiency in SQL and Python.
• Experience applying data science techniques in a GTM or revenue context.
• Experience architecting data systems that power automation and AI workflows.
• Strong understanding of CRM and marketing automation data models.

Tech Stack

• Cloud
• ETL
• Python
• SQL

Benefits

• Remote First work environment
• Unlimited vacation in most of our locations!!
• Great benefits including health, dental, vision and savings plan.
• Perks such as training reimbursement, WFH reimbursement, and more.
• Diverse and dynamic teams with challenging and exciting work.
• An opportunity to have a real impact on our business.
• A great range of social activities (both in person and virtual).
• Optional in person meet-ups and the ability to travel to our international offices
• Employee referral program
• And so much more!