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VercelSoftware Engineer, GTM
Vercel, the agentic infrastructure company helping developers transition ideas into production, seeks a Software Engineer, GTM to join the Data team. In this position, you will…
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About This Role
Vercel, the agentic infrastructure company helping developers transition ideas into production, seeks a Software Engineer, GTM to join the Data team. In this position, you will oversee the reliability of financial data for Vercel stakeholders, handling complex business models that combine metered usage billing, subscription tiers, and Enterprise contracts. This full-stack opportunity requires you to construct and maintain pipelines, data models, and transformations that supply the reporting, forecasting, and revenue…
Job Description
Vercel, the agentic infrastructure company helping developers transition ideas into production, seeks a Software Engineer, GTM to join the Data team. In this position, you will oversee the reliability of financial data for Vercel stakeholders, handling complex business models that combine metered usage billing, subscription tiers, and Enterprise contracts. This full-stack opportunity requires you to construct and maintain pipelines, data models, and transformations that supply the reporting, forecasting, and revenue infrastructure utilized by Finance.
Reporting directly to the engineering lead for the Data team, you will exercise complete ownership over this domain, establish technical directions, and collaborate with FP&ר, Accounting, and Revenue leaders. This role suits professionals who want their technical contributions to directly impact how leadership understands company revenue and financial performance.
Vercel is committed to fostering an inclusive community and encourages all interested candidates to apply. The position offers competitive compensation packages including equity, inclusive healthcare, flexible time off, equipment, and a work-from-home budget.
Responsibilities
- Manage pipelines that ingest contract, usage, and billing data into the warehouse reliably
- Identify and resolve source data quality and freshness issues
- Build and maintain dbt models that convert raw data into datasets for margin, forecasting, and revenue recognition
- Establish testing and documentation standards for data accuracy during financial reconciliations
- Create datasets and semantic models to support leadership reports and dashboards
- Develop self-service data solutions to minimize one-off requests
- Collaborate with Finance stakeholders to understand data needs and evaluate technical requirements
- Write transformation and pipeline code following strict engineering standards and conduct code reviews
- Provide mentorship to other engineers and contribute to team technical standards
Requirements
- Over four years of professional background in analytics engineering, data engineering, or a closely related domain
- Experience managing production data pipelines from end to end
- Proficiency in SQL and Python for creating testable, production-ready code
- Practical background using dbt or a similar transformation framework
- Familiarity with dimensional data modeling and modern ELT or ETL workflows with orchestration tools like Airflow or Dagster
- Experience handling finance data, including financial close, forecasting metrics, or usage-based billing
- Ability to collaborate with non-technical stakeholders and convert ambiguous business goals into technical specifications
Core Skills
Benefits
- Competitive compensation package featuring equity
- Inclusive healthcare package
- Mentorship opportunities and event attendance to build skills and network
- Flexible time off
- Provided work gear and a work-from-home budget
Frequently Asked Questions
What is the employment type for this role?
The position is full-time.
What is the remote work policy?
The job is listed as on-site.
What salary does this position offer?
The base pay range for San Francisco, CA is $170,000 to $260,000, with actual compensation depending on skills, experience, and location. Compensation outside of San Francisco may vary.
What experience level is required?
Candidates must have four or more years of experience in data engineering, analytics engineering, or a related field.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
