Vercel
Vercel Offices
Vercel is headquartered in San Francisco and has 5 office locations.
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Vercel is a remote-friendly company. Some roles are in-office (SF, NYC and others), and some are fully remote. For the right candidate, flexible arrangements are available, supported by home office and wellness stipends.
Typical time on-site:
Flexible
U.S. Office Locations
Global Office Locations
San Francisco
Close
San Francisco, California 94133, UaS, San Francisco, CA, United States, 94133
Austin
Berlin, Germany
New York
London, England
Recently posted jobs
Artificial Intelligence • Cloud • Software
The Senior Accountant supports monthly and quarterly close processes, account reconciliations, financial reporting, accruals, lease accounting, capitalized commissions, payroll accounting, audits, and M&A entity onboarding. The role partners with FP&A and cross-functional teams, prepares analyses for leadership, improves accounting processes and controls, and uses AI and automation to increase efficiency. A bachelor’s degree, 3+ years of progressive accounting experience, and strong US GAAP knowledge are required; CPA certification is preferred.
Artificial Intelligence • Cloud • Software
Own Vercel’s Workday architecture, security, business processes, governance, reporting, data quality, release management, and audit controls. Partner with integration engineers and cross-functional teams to extend Workday through Slack and internal applications while supporting SOX, SOC 2, payroll, equity, commissions, and public-company readiness. This hands-on role designs scalable configurations, automates controls, manages testing and change control, and improves People technology operations.
Artificial Intelligence • Cloud • Software
Build and operate production trust and safety systems that detect and disrupt platform abuse at internet scale. Responsibilities include developing ML infrastructure, training and feature pipelines, serving systems, evaluation frameworks, and LLM/classical ML detection solutions. Own systems from model integration through deployment, monitoring, and iteration while collaborating with security, product, and infrastructure teams.
