Data Engineer, GTM Systems

Highlights

• Build trusted GTM data products powering sales decisions at scale.
• Unify internal and external company data into one canonical layer.
• Deliver AI-generated scores and signals to help GTM teams prioritize.

What they offer

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

Ideal candidate

A product-minded data engineer who thrives at the intersection of business and data and cares about trusted definitions, data quality, and enabling GTM teams to act with confidence.

Requirements

• Experience building and operating production data pipelines and models as a data or analytics engineer
• Strong SQL and Python with modern transformation and orchestration on a cloud warehouse
• Experience with record matching, deduplication and reconciling messy multi-source data
• Familiarity with GTM data and CRM systems
• Strong judgment on data sources, definitions and data quality with business partners
• Clear communication with technical and non-technical partners
• Regular hands-on use of AI tools in engineering work
• 5+ years in data engineering, analytics engineering or GTM data roles
• Experience building shared data products used by multiple teams
• Experience with firmographics, corporate hierarchies or master data management
• Experience using and evaluating LLMs inside data pipelines
• Hands-on Salesforce experience at large data volumes
• Experience supporting GTM planning processes such as territory design