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vCluster Labs

Manages Kubernetes multi-tenancy and cost optimization

Staff Product Manager - Vmetal

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in cloud infrastructure, data center networking, bare metal, or GPU/HPC platforms; backgrounds in networking and hardware vendors are also considered.
  • Understand InfiniBand, VLAN, VXLAN and EVPN, BGP, and the NVIDIA networking stack (Spectrum and Quantum switches, UFM, Cumulus Linux, and NVUE) sufficiently to make informed product tradeoffs.
  • Understand bare metal provisioning, out-of-band server management (Redfish and IPMI), and PXE boot sufficiently to make informed product tradeoffs.
  • Have experience engaging with platform engineers, network engineers, and architects in customer-facing conversations.

Responsibilities

  • Align business priorities and technical direction for vMetal across compute and networking, and translate them into specifications engineering can execute.
  • Own vMetal’s networking layer and define how it provisions and isolates tenant networks across InfiniBand and high-speed Ethernet fabrics, from tenant VPCs to rail-optimized GPU fabrics, including integration with fabric controllers and NVIDIA networking tools.
  • Work with the Head of Product and engineering leadership to shape vMetal’s direction.
  • Run alpha and beta builds hands-on, including against real bare-metal hardware and network fabrics where possible, and identify integration issues before customers do.
  • Engage directly with platform and network engineers at AI Cloud operators and hyperscalers running bare metal at scale, and translate issues in their environments into product behavior.
  • Track the bare-metal, GPU infrastructure, and data center networking ecosystem; refine positioning for technical buyers and bridge engineering, sales, and marketing so shipped products align with how they are sold and supported.

Desired Qualifications

  • 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.

About the Company

vCluster Labs

Manages Kubernetes multi-tenancy and cost optimization

vCluster Labs builds open-source tools that make Kubernetes easier to run at scale. Their projects help platform engineers manage multi-tenant Kubernetes clusters, optimize resource usage, and cut cloud costs so environments stay stable while growing. The products act as building blocks that teams can combine to enable multi-tenancy, efficient resource planning, and scalable cluster management. With over 100 enterprises using their solutions, vCluster’s goal is to help teams move faster, spend less on infrastructure, and keep platform stacks reliable.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stockholm, ME
Founded
Not listed

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