# Software Engineer, GTM at Vercel

- Company: Vercel
- What the company does: The autonomous stack for every app and agent. Backed by Accel, General Catalyst and Khosla.
- Company website: https://vercel.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Hybrid - San Francisco, New York City
- Work setup: Hybrid
- Pay: $170K to $260K base salary per year (USD)
- Posted: 2026-08-25
- Apply by: 2026-10-09
- Apply: https://job-boards.greenhouse.io/vercel/jobs/5914474004
- Page: https://www.1752.vc/careers/jobs/vercel-software-engineer-gtm/

## About the role

We're looking for an engineer to join our Data team and own the reliability of the data our Finance stakeholders depend on. Vercel's revenue model combines subscription tiers with usage-based billing across many metered products, plus Enterprise contracts, so this data is genuinely complex to get right. This is a full-stack role: you'll build and maintain the pipelines, transformations, and data models that turn billing and usage data into the revenue, forecasting, and reporting infrastructure Finance runs on.

## What they're looking for

- 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end
- Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis
- Hands-on experience with dbt (or a comparable transformation framework), dimensional/data modeling, and modern ELT/ETL workflows, including orchestration tooling (e.g., Airflow, Dagster)
- Direct experience with Finance data, ideally including usage-based billing, revenue recognition, or financial close/forecasting metrics, with genuine fluency in how those metrics are defined and used
- Proven ability to partner with non-technical stakeholders, translating ambiguous business questions into technical specs and durable data models, not just taking requirements at face value
- Strong communication skills, including presenting technical trade-offs to both technical and business audiences

Tags: Engineering