EU remote
Technical Program Manager, Enterprise Scale
About this role
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.
Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer. What You’ll Do: We are hiring a Technical Program Manager, Enterprise Scale to drive some of our most important cross‑functional initiatives. In this role, you will operate as a global process owner and program lead across a rotating portfolio of work: from onboarding and mobility, to policy and controls, to M&A efforts. About the role: You will bring a consulting‑style mindset into an operating role; framing ambiguous problems, developing structured recommendations, and then driving end‑to‑end execution with People, Talent, Legal, Finance, and Security.
You are a connector who brings the right people together, pushes for clarity, and is comfortable having a point of view on what “good” looks like for processes, systems, and employee experience. Act as a global process owner for a set of priority workflows (e.g., onboarding, internal mobility, contingent workforce, policy rollout), ensuring they are well‑designed, documented, and continuously improved. Map end‑to‑end journeys (from triggering event through systems, handoffs, and controls), identifying pain points, failure modes, and opportunities to simplify and automate.
Partner with People Operations, HRBPs, Payroll, Benefits, and regional teams to ensure processes are practical on the ground, not just theoretically correct. Build and maintain integrated project plans, dependency maps, RAID logs, and decision records, keeping work on track across multiple teams. Use data (service metrics, tickets, cycle time, error rates, satisfaction scores) to prioritize, make tradeoffs, and measure impact of changes.