Vercel
Member of Technical Staff, Finance Data
Hybrid - San Francisco, New York City · Staff+
Sponsorship not specified$264k-$396kDetected 11 hours ago
SnowflakeAWSGCPAzureCloud PlatformsKafkaData EngineeringData ScienceComplianceRoadmappingFinancial AnalysisAccountingForecastingFP&AAuditingERPHRISLeadershipCommunicationCollaborationMentoringFinancial ReportingInternal AuditNetSuite
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
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About the role
- This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business.
Responsibilities
- Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts.
- Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting.
- Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response.
- Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms).
- Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale.
- A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Nice to have
- 8+ 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.
- Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
- Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements, and a rigorous approach to data lineage and accuracy.
- Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.
Compensation
- The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role.
- Competitive compensation package, including equity.
- 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.
Benefits
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Flexible Time Off.
- The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role.
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.
- Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization.
Visa & Work Authorization
- 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 pro
This listing is sourced directly from Vercel's careers page and normalized into a canonical job model.