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Member of Technical Staff, Financial Data

Vercel

CAFull-time$264–396K/yrPosted 2 days agoStill listed today

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At a glance

Compensation
$264–396K/yr
Location
CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Member of Technical Staff will lead the design and maturation of Vercel’s Financial Data Platform, supporting Finance, Accounting, and Revenue Operations with book closing, revenue reporting, and forecasting. The role builds auditable data pipelines and sets standards for accuracy and governance, with a focus on audit readiness. It is hybrid, with three in-office days per week in San Francisco or New York City.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringApache KafkaSnowflakeAmazon Web ServicesGoogle Cloud Platform (GCP)Microsoft AzureFinancial AccountingRevenue RecognitionBillingData GovernanceAnalytics EngineeringData Pipeline OwnershipAWSGCPAzureKafkaClickHouseTinybirdFinancial ReportingConsumption-Based PricingSOXSOC 2Financial Architecture

Qualifications

8+ Years Experience

Benefits

Medical Insurance
Paid Time Off

Full job description

  • Data
  • New York City, San Francisco
  • Full Time

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.

Apply Now. Tell us why you’d be a good fit for the Member of Technical Staff, Financial Data role.

How this job compares

Set against the 2,895 open Data Engineering jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$264–396K/yr
  • California median$157–253K/yr269 salary ranges
  • US median$125–210K/yr2,337 salary ranges

This range's midpoint, $330K, is 61% above the California median midpoint ($205K) — in the top quarter of Data Engineering salary ranges in California.

Openings
Olive Jobs lists 332 open Data Engineering jobs in California and 2,895 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 8 years of experience; Data Engineering postings that state a minimum ask for 5 years at the median (2,524 postings).
Education
1,109 of the 2,895 open Data Engineering jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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