Senior Data Engineer - GTM

Vercel
San Francisco, New York
Workplace: HybridFull timeUSD 170,000 - 260,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Stakeholder management","Technical ownership","Mentoring","Problem-solving"]

Own end-to-end GTM data infrastructure for Sales, Marketing, and RevOps by building reliable pipelines, transformations, and dbt models. Turn CRM, marketing automation, outbound tooling, and product usage data into trusted reporting and forecasting assets. Diagnose data quality and freshness issues, set testing/documentation standards, and design for self-service so teams reduce one-off requests. Collaborate with stakeholders to translate business questions into durable semantic models.

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FursaFursa
Vercel
Vercel
1 day ago

Senior Data Engineer - GTM

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own end-to-end GTM data infrastructure for Sales, Marketing, and RevOps by building reliable pipelines, transformations, and dbt models. Turn CRM, marketing automation, outbound tooling, and product usage data into trusted reporting and forecasting assets. Diagnose data quality and freshness issues, set testing/documentation standards, and design for self-service so teams reduce one-off requests. Collaborate with stakeholders to translate business questions into durable semantic models.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and maintain pipelines that ingest GTM source systems (CRM, marketing automation, outbound tooling, and product usage) into the warehouse reliably.
  • •Diagnose and resolve data quality and freshness issues at the source.
  • •Design and maintain dbt models that produce trusted datasets for pipeline, revenue, attribution, and funnel metrics.
  • •Set testing and documentation standards to make models trustworthy and easy to extend by others.
  • •Create datasets and semantic models that power Sales, Marketing, and RevOps reporting and reduce one-off requests through self-service.

Pay and Benefits

Salary: USD 170,000 - 260,000 annually
Perks:Health InsuranceEquityPaid LeaveLearning Budget

Key Requirements

  • •4+ years of experience in data engineering/analytics engineering, with end-to-end ownership of production data pipelines.
  • •Strong SQL and Python skills for production-grade, testable code (not one-off scripts).
  • •Hands-on dbt (or comparable) with dimensional/data modeling and modern ELT/ETL workflows, including orchestration tools like Airflow or Dagster.
  • •Direct experience with GTM data such as CRM models, revenue reporting, and sales/marketing attribution metrics.
  • •Partner with non-technical stakeholders to translate ambiguous business questions into technical specs and durable data models.
Skills:CommunicationStakeholder managementTechnical ownershipMentoringProblem-solving
Languages:English
Tech Stack:SQLPythonDbtELTETLDimensional modelingData modelingAirflowDagsterSemantic modelsData pipelinesData transformationsDashboardsForecasting

Company Brief

Vercel
Provides a frontend cloud platform and developer tools (including Next.js and v0) that simplify building, deploying, and scaling web and AI-native applications for developers and enterprises.
Industry: Cloud Computing
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series F
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.1
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