Senior Product Manager, Data Center

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 .

What You’ll Do:

Description of the Team CoreWeave is a high-growth, AI-first data center company redefining enterprise infrastructure with a rapidly expanding footprint of GPU-focused facilities across the US and Europe. Operating at this scale requires a modern technology stack spanning DCIM, CMMS/EAM, BMS/SPoG, construction controls, lifecycle management, sustainability, and analytics to provide real-time visibility and predictable capacity delivery.

About the role: We are seeking a Product Manager, Data Center Technology to define and deliver a scalable technology ecosystem for Data Center Operations. You will own product strategy, roadmap, prioritization, and execution, translating complex cross-functional needs into solutions that improve uptime, incident response, maintenance planning, technician experience, safety, and workforce productivity. This role partners closely with Data Center Operations, Facilities Engineering, Construction, Portfolio Planning, EHS, Security, Supply Chain, Finance, and IT to align solutions with business objectives. You will lead the end-to-end product lifecycle and deliver iterative, scalable platforms that enable operational excellence across the data center portfolio.

• Own the vision and roadmap for data center technology platforms, including DCIM, CMMS/EAM, BMS/SPoG, construction management, asset lifecycle, and workforce systems, aligned to business OKRs.
• Translate business goals into clear initiatives across first-party, third-party, and data/AI-driven solutions, with defined outcomes and success metrics.
• Make build, buy, or extend decisions across internal systems and external tools, balancing ROI, TCO, scalability, and interoperability.
• Lead the end-to-end product lifecycle: discovery, user research, problem definition, PRDs, prioritization, release planning, launch, and continuous improvement.
• Deliver iteratively using Agile principles, defining MVPs that unlock incremental value while building toward scalable platforms.
• Maintain structured execution through tools such as Jira, with clear tracking, reporting, and delivery discipline.
• Partner with cross-functional stakeholders to ensure systems interoperate cleanly with clear systems of record.
• Translate complex infrastructure concepts into intuitive workflows and product requirements for technicians and leadership.
• Conduct field discovery