CoreWeave Offices

CoreWeave is headquartered in Livingston and has 5 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ

Livingston

Livingston, NJ, United States

Bellevue

Bellevue, WA

Bellevue, Washington, United States, 98004

New York

New York, NY, United States

Philadelphia

Philadelphia, PA, United States

Sunnyvale

Sunnyvale, CA

Sunnyvale, California, United States

Recently posted jobs

An Hour AgoSaved
In-Office
5 Locations
Cloud • Information Technology • Machine Learning
Build and maintain finance data models, automated pipelines, dashboards, and reports for planning, forecasting, close, and executive reporting. Govern finance metrics, reconcile data to source systems and the general ledger, resolve data quality issues, and collaborate with FP&A, Accounting, and Data Engineering. Apply BI best practices such as dimensional modeling, documentation, testing, version control, and data governance while translating finance needs into scalable data solutions.
An Hour AgoSaved
In-Office
5 Locations
Cloud • Information Technology • Machine Learning
Supports CoreWeave’s sales organization by reviewing pricing requests, structuring commercial proposals, modeling deal economics, and assessing P&L impacts. Partners with account executives, account managers, and revenue leadership to provide data-driven recommendations, balance customer needs with financial objectives, and improve deal desk processes. The role requires strong financial modeling, quantitative analysis, attention to detail, and the ability to operate effectively in a fast-paced environment.
18 Hours AgoSaved
In-Office
5 Locations
Cloud • Information Technology • Machine Learning
Build AI agents, copilots, and first-party applications that automate internal workflows across Finance, Supply Chain, HR, and business operations. Responsibilities include developing full-stack web and mobile applications with React, TypeScript, Node.js, and Go; integrating enterprise systems; building APIs, microservices, and event-driven architectures; deploying cloud applications; and applying generative AI frameworks and tools. The role partners with technical and business stakeholders to create secure, maintainable, user-centered productivity solutions.