Senior Product Manager (vMetal)
As a Senior Product Manager for vMetal at vCluster Labs , you'll help own the systems that discover, provision, configure, and manage physical hardware, turning racks of bare metal into a programmable platform for AI Cloud operators and hyperscalers to build tenant clusters on top of. You'll work directly with the Head of Product and engineering leadership on the tradeoffs that shape where vMetal goes next.
As a Senior Product Manager, your role will include:
-
Infrastructure Direction: Align on business priorities and technical direction for vMetal, and translate that into specs engineering can execute against.
-
Product Leadership Partnership: Work directly with the Head of Product and engineering leadership on the tradeoffs that determine where vMetal goes next.
-
Hands-on Validation: Run alpha and beta builds yourself, including against real bare metal hardware where possible. Catch integration issues before customers do.
-
Customer Intelligence: Engage directly with platform engineers at AI Cloud operators and hyperscalers running bare metal at scale.
-
Market Positioning: Track the bare metal and GPU infrastructure ecosystem. Sharpen the narrative for technical buyers and partner with GTM on messaging that lands.
-
Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it.
This role could be a fit for you if you bring:
-
Experience: 5+ years in product management in cloud infrastructure, bare metal, or GPU/HPC platforms. You've shipped something other engineers depend on in production.
-
Infrastructure Fluency: You understand bare metal provisioning, out-of-band server management (Redfish, IPMI), and PXE boot well enough to make informed product tradeoffs.
-
Kubernetes Familiarity: You're comfortable with Kubernetes fundamentals, pods, controllers, CRDs, and the operator pattern, and can hold a credible technical conversation with engineers.
-
Customer-Facing Infra Experience: You've sat across from platform engineers and architects, and you're comfortable in that conversation.
Bonus points for:
-
Kubernetes-as-a-Service: Built a KaaS offering at a cloud provider, vendor, or large internal platform team.
-
Internal Developer Platforms: Platform PM experience building IDPs that abstract infrastructure complexity for developer teams.
-
Startup Growth: Adaptable to startup pace and change.
About vCluster Labs
We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, GitLab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture.
We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to accelerate time to value, reduce operational burden, and maximize the ROI of every GPU.
We're the company behind vCluster, an open-source technology for virtualizing Kubernetes (10k+ GitHub stars, 40M+ virtual clusters created since 2021). Open source is part of our DNA. At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI — a Kubernetes-native framework purpose-built for running AI, ML, and GPU-intensive workloads anywhere, with an NVIDIA-validated reference architecture for DGX systems.
Benefits
We offer the following benefits:
-
Competitive Salary : We offer a competitive compe