Senior Product Manager

vCluster Labs is a venture-backed technology startup pioneering Kubernetes virtualization and GPU infrastructure platforms for the AI era. The Senior Product Manager will partner with product and engineering leadership to set technical direction, validate product builds, engage infrastructure customers, shape market positioning, and lead cross-functional execution.

Responsibilities:

• Technical Direction: Align on business priorities and technical direction for your product surface, and translate that into specs engineering can execute against
• Founder Partnership: Work directly with the Head of Product and Engineering leadership on the architecture tradeoffs that determine the product's trajectory
• Hands-on Validation: Run alpha and beta builds yourself. Catch integration issues before customers do
• Customer Intelligence: Engage directly with platform engineers at AI Cloud operators, regulated enterprises, and large internal platform teams. The next zero-to-one comes from these conversations
• Market Positioning: Track the cloud-native ecosystem and emerging tenancy primitives. Sharpen the narrative for technical buyers and partner with GTM on messaging that lands
• Cross-Functional Leadership: Bridge engineering, sales, and marketing so what we ship matches how we sell and support it

Requirements:

• Experience: 5+ years in product management, in cloud infrastructure, platform services, or distributed systems. You've shipped something other engineers depend on in production
• Kubernetes Fluency: You have working knowledge of Kubernetes, how clusters, workloads, and namespaces fit together
• Customer-Facing Infra Experience: You've sat across from platform engineers and architects, and you're comfortable in that conversation
• Kubernetes-as-a-Service: Built a KaaS offering at a cloud provider, vendor, or large internal platform team
• AI & MLOps Infrastructure: GPU scheduling, multi-tenant accelerator workloads, LLM deployment patterns
• Internal Developer Platforms: Platform PM experience building IDPs that abstract infrastructure complexity for developer teams
• Startup Growth: Adaptable to startup pace and change