[Hiring] Staff Product Manager @vCluster Labs

Role Description

As a Staff 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.

• Infrastructure Direction: Align on business priorities and technical direction for vMetal across compute and networking, and translate that into specs engineering can execute against.
• Networking: Own vMetal’s networking layer. Define how vMetal provisions and isolates tenant networks across InfiniBand and high-speed Ethernet fabrics, from tenant VPCs to rail-optimized GPU fabrics, and how it works with fabric controllers and NVIDIA’s networking tools.
• Product Leadership Partnership: Work directly with the Head of Product and engineering leadership to shape the direction of vMetal.
• Hands-on Validation: Run alpha and beta builds yourself, including against real bare metal hardware and network fabrics where possible. Catch integration issues before customers do.
• Customer Intelligence: Engage directly with platform and network engineers at AI Cloud operators and hyperscalers running bare metal at scale, and turn what breaks in their environments into product behavior.
• Market Positioning: Track the bare metal, GPU infrastructure, and data center networking ecosystem. Sharpen the narrative for technical buyers and bridge engineering, sales, and marketing so what we ship matches how we sell and support it.

Qualifications

• 5+ years experience in cloud infrastructure, data center networking, bare metal, or GPU/HPC platforms.
• Understanding of InfiniBand, VLAN, VXLAN, EVPN, BGP, and the NVIDIA networking stack (Spectrum and Quantum switches, UFM, Cumulus Linux, NVUE).
• Understanding of bare metal provisioning, out-of-band server management (Redfish, IPMI), and PXE boot.
• Experience interacting with platform engineers, network engineers, and architects.

Requirements

• Familiarity with fabrics tuned for GPU training or inference workloads, such as RoCEv2, rail-optimized topologies, or Spectrum-X.
• Experience building a Kubernetes-as-a-Service offering at a cloud provider, vendor, or large internal platform team.
• Adaptability to startup pace and change.

Benefits

• Competitive Salary: We offer a competitive compensation package, including equity.
• Premium Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country).
• Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that.
• Workplace Flexibility: We’re very flexible about where you work.

Company Description

We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a venture-backed startup that's raised over $28M from top-tier investors including Khosla Ventures, and we're in a hyper-growth phase looking for motivated people to join our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe with a remote-first culture.

• We give AI Cloud providers and AI factories a hyperscaler-like experience on their own GPU infrastructure.
• Our platform runs the full stack an operator needs, from bare metal provisioning and node lifecycle management up through managed Kubernetes, Slurm, Ray, and inference clusters.
• Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies.
• We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes.
• At KubeCon North America 2025, we launched our Infrastructure Tenancy Platform for AI.