Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and automate end-to-end GTM data flows, including data sourcing, enrichment, and synchronization across CRM, warehouse, product, and outbound tools. You will maintain reliable data systems, document integrations and workflows, develop pipeline and funnel reporting, evaluate new platforms and datasets, and recommend improvements based on analysis.
Requirements
- 3–5 years of hands-on experience in data science, data engineering, analytics engineering, or GTM engineering
- Strong Python and SQL skills
- Experience building and maintaining data pipelines, API integrations, or ETL workflows
- Experience working with CRM data
- Experience with GTM tools such as Clay, Freckle.io, or Deepline
- Ability to reliably ship scoped work while accounting for edge cases
- Experience using LLMs or AI agents in workflows
- Clear written communication skills
- Curiosity about sales-team operations
Responsibilities
- Build and automate end-to-end GTM data flows
- Source, enrich, and synchronize data across GTM tools
- Own data quality, deduplication, field definitions, integrations, and sync logic
- Document and maintain systems and workflows
- Collaborate with GTM leaders to scope work, identify edge cases, and estimate effort
- Develop queries and models for pipeline, funnel, and account-level reporting
- Analyze systems and make data-driven recommendations
- Evaluate new platforms and datasets
Benefits