Staff Product Manager (vMetal)

vCluster Labs; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health insurance

Flexible schedule

Remote-friendly

Job summary

vCluster Labs is seeking a Staff Product Manager for vMetal to 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.

You will work directly with the Head of Product and engineering leadership on tradeoffs, run alpha and beta builds on real hardware, and engage with platform and network engineers to translate their findings into compelling product behavior and market

Qualifications

• 5+ years in cloud infrastructure, data center networking, bare metal, or GPU/HPC platforms.
• Fluency with InfiniBand, VLAN, VXLAN, EVPN, BGP,true to NVIDIA networking stack.
• Understanding bare metal provisioning, Redfish, IPMI, and PXE boot.

Responsibilities

• Own vMetal networking layer and define provisioning/isolation of tenant networks across InfiniBand and high-speed Ethernet fabrics.
• Shape direction with Head of Product and engineering leadership for vMetal.
• Run alpha and beta builds on real hardware and networks, catching issues early.
• Engage with platform and network engineers at AI Cloud operators and hyperscalers to translate issues into product behavior.
• Track market positioning and sharpen messaging for technical buyers across teams.

Skills

Cloud infrastructure

Data center networking

Bare metal

GPU/HPC platforms

Networking fluency

Customer-facing infra experience

Tools

InfiniBand

VXLAN

EVPN

BGP

NVIDIA networking stack

Redfish

IPMI

PXE boot

Job 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.

As a Staff Product Manager, your role will include:

• 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.

This role could be a fit for you if you bring:

• Experience: 5+ years experience in cloud infrastructure, data center networking, bare metal, or GPU/HPC platforms. We’re open to a range of backgrounds for this role, not just traditional product management, including networking and hardware vendors.

• Networking Fluency: You understand InfiniBand, VLAN, VXLAN and EVPN, and BGP, and the NVIDIA networking stack (Spectrum and Quantum switches, UFM, Cumulus Linux, NVUE), well enough to make informed product tradeoffs.

• Infrastructure Fluency: You understand bare metal provisioning, out‑of‑band server management (Redfish, IPMI), and PXE boot well enough to make informed product tradeoffs.

• Customer‑Facing Infra Experience: You’ve sat across from platform engineers, network engineers, and architects, and you’re comfortable in that conversation.

Bonus points for:

• AI Networking Depth: Familiarity with fabrics tuned for GPU training or inference workloads, such as RoCEv2, rail‑optimized topologies, or Spectrum‑X.

• Kubernetes‑as‑a‑Service: Built a KaaS offering at a cloud provider, vendor, or large internal platform team.

• Startup Growth: Adaptable to startup pace and change.
  

About vCluster Labs

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 (first investor in OpenAI, GitLab, Stripe, and DoorDash), 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, so they can turn raw GPUs into cluster products they can sell in days instead of spending 12+ months building it themselves. Today we power over 100,000 GPUs and 1 million CPUs across 50+ AI clouds and Fortune 500 companies, backed by a team of 40+ infrastructure engineers who build alongside our customers rather than just shipping them software.

We're the company behind vCluster, the open source technology for tenant isolation on Kubernetes, with 11,000+ GitHub stars and 40M+ tenant 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 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 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. To us, results matter more than clocking in and out at the same time every day.

• Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Culture & Values

At vCluster Labs, we value and stand for:

1. Make it Happen: We have a relentless bias for action and the grit to push through obstacles. We do whatever it takes to figure it out, put in the work, and ruthlessly prioritize the actions that drive measurable impact for the business.

2. Own the Outcome: We understand that our responsibility doesn't end when a task is checked off; it ends when the value is delivered. We connect our daily individual actions to the broader success of the company and our customers.

3. Create Wow: We measure success by the experience we generate, both inside and outside the company. For our customers, this means impressive speed and intuitive experiences. For our team, this means going the extra mile to support one another and to continuously drive each other to new heights.

4. Open Source, Open Mind: We are actively contributing to and maintaining open‑source projects. Internally, we foster meritocracy — the strongest ideas win, no matter who or where they come from.

5. Build Tomorrow’s Standards, Intentionally: We don't just ship software; we define the state‑of‑the‑art of tomorrow. We are fearless in tearing down old approaches to build something better, but we are disciplined in how we do it because we know our users rely on our technology to run mission‑critical infrastructure platforms.