Staff Product Manager (vMetal)

The role

You will own systems that discover, provision, configure, and manage physical hardware to create a programmable platform for AI Cloud operators. You will work with the Head of Product and engineering leadership on technical direction and tradeoffs for vMetal.

What you will do

• Align on business priorities and technical direction for vMetal across compute and networking.
• Translate technical direction into specs for engineering.
• Own vMetal's networking layer.
• Define how vMetal provisions and isolates tenant networks across InfiniBand and high-speed Ethernet fabrics.
• Run alpha and beta builds against real bare metal hardware and network fabrics.
• Engage with platform and network engineers at AI Cloud operators and hyperscalers.
• Track the bare metal, GPU infrastructure, and data center networking ecosystem.
• Bridge engineering, sales, and marketing to match shipping with sales and support.

Required qualifications

• 5+ years experience in cloud infrastructure, data center networking, bare metal, or GPU/HPC platforms.
• Understanding of InfiniBand, VLAN, VXLAN and EVPN, and BGP.
• Understanding of 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 sitting across from platform engineers, network engineers, and architects.

Nice to have

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

Benefits

• Competitive compensation package, including equity.
• Health, dental, vision, and life Insurance, including plans for you and eligible dependents.
• Flexible Working Schedule.
• Workplace Flexibility.

About the company

vCluster Labs is a venture-backed startup and the #1 platform for AI infrastructure. They provide a platform that runs the full stack from bare metal provisioning to managed Kubernetes for AI Cloud providers.