We're hiring a staff PM to set product direction across the vCluster platform, vNode, and vMetal — and to raise the bar on how product is done here. You'll partner directly with the Head of Product, Engineering leadership, and the founders on the architectural and category-level decisions that determine where vCluster sits as the multi-tenant Kubernetes category matures.
Your Role as a Staff Product Manager
Cross-Surface Strategy: Set coherent direction across vCluster platform, vNode, and vMetal. Identify where the surfaces converge, where they diverge, and where the next product surface needs to exist. Own the technical thesis that ties them together.
Architecture Partnership: Work directly with engineering leadership, customer design partners, and founders on the architecture decisions that shape the product for years — tenancy models, isolation boundaries, the API contracts that downstream products depend on.
Category Definition: Multi-tenant Kubernetes for AI Cloud is a category being defined right now. Drive how we define it externally — analyst relations, technical content, conference narrative, and competitive framing.
Customer Intelligence at Depth: Build trusted relationships with platform leads at the largest AI Cloud operators, financial institutions, and platform engineering organizations. Translate their forward-looking architecture decisions into product direction.
Team Multiplier: Raise the bar on PM craft across the team. Establish the patterns — specs, customer development, launch process — that scale beyond you.
This Role is a Fit for You if You Bring
Experience: 10+ years in product management, with at least 4 years on cloud infrastructure, platform services, or distributed systems. You've owned a product line through multiple stages — early adoption, scaling, category leadership.
Architectural Depth: You can hang with principal and staff engineers on Kubernetes internals, distributed systems tradeoffs, and multi-tenant isolation.
Track Record at Scale: You've shipped infrastructure products that other companies build on — and you've been through at least one cycle of a product going from new category to default choice.
Pattern Recognition: You've seen how infra categories evolve and where the moats actually form. You bring opinions, defended with depth.
Bonus Points For
Kubernetes-as-a-Service: Built or led product for a KaaS offering at a cloud provider, vendor, or hyperscale internal platform.
AI & MLOps Infrastructure: Deep experience with GPU scheduling, multi-tenant accelerator workloads, sovereign GPU clouds, or LLM deployment infrastructure.
Bare Metal & HPC: Built for bare metal infrastructure, high-performance computing, or sovereign cloud environments.
Category Creation: Helped define a developer or infrastructure category that didn't exist before.
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 compensation package, including equity.
Platinum-Level 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:
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.
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.
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.
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.
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.