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Vercel

Member of Technical Staff, Financial Data

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Hybrid
Employment
Not stated
Level
Lead / staff
Function
Data & AI
Pay
$264K – $396K a year (read from the ad)
Posted
2 weeks ago

About the role

About Vercel

Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.

Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.

About the role

As a Member of Technical Staff, Finance Data, you’ll lead the design of the Financial Data Platform that Finance, Accounting, and Revenue Operations rely on to close the books, report revenue, and forecast. You’ll build auditable pipelines on Kafka, ClickHouse, Tinybird, and Snowflake that turn raw usage into revenue, and set the bar for data accuracy and governance where correctness isn’t optional. Your main focus is a multi-phase roadmap that takes the platform to maturity and audit readiness as the business grows. This is a hybrid role with 3 in-office days per week in San Francisco or New York City.

What you'll do

  • Design and build the data platform behind revenue recognition, consumption-based billing, and financial reporting, across batch and real-time workloads
  • Set standards for financial data ingestion, transformation, and storage, with auditability, lineage, and data integrity
  • Work with FP&A, Accounting, and RevOps to turn reporting requirements, close-cycle timelines, and forecasting needs into architecture
  • Partner with Security, Compliance, Legal, and Internal Audit to meet SOX and SOC 2 requirements, backed by monitoring, alerting, and incident response
  • Set the technical roadmap, make build-vs-buy calls on ERP, billing, and revenue tools, and mentor engineers as the team grows

What you need

  • 8+ years of experience in data engineering, analytics engineering, or a closely related field
  • Owned production data pipelines end-to-end on AWS, GCP, or Azure
  • Production experience with Kafka, ClickHouse, Tinybird, and Snowflake
  • Built data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing
  • Supported audit, SOX, or SOC 2 requirements for data systems
  • Translated Finance or Accounting requirements into technical architecture

Compensation & Benefits

  • Competitive compensation package, including equity.
  • Inclusive Healthcare Package.
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
  • Flexible Time Off.
  • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Disclosures

  • Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.
  • Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Source

Posted by Vercel on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 02:42 UTC; the original is the reference.

View the original ad ↗

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