About the role
Responsibilities Align on business priorities and technical direction for product surfaces Translate business needs into executable engineering specifications Partner with Head of Product and Engineering leadership on architecture tradeoffs Run alpha and beta builds to validate product functionality Engage with platform engineers at AI Cloud operators and regulated enterprises Track the cloud-native ecosystem and emerging tenancy primitives Bridge engineering, sales, and marketing to ensure product-market alignment Requirements 5+ years of product management experience in cloud infrastructure, platform services, or distributed systems Proven track record of shipping production-grade infrastructure tools Working knowledge of Kubernetes, clusters, workloads, and namespaces Experience communicating with platform engineers and architects Preferred Qualifications Experience building Kubernetes-as-a-Service (KaaS) offerings Knowledge of AI & MLOps infrastructure, including GPU scheduling and LLM deployment Experience building Internal Developer Platforms (IDPs) Ability to thrive in a fast-paced startup environment Benefits Competitive salary and equity package Platinum-level health, dental, vision, and life insurance Flexible working schedule focused on results High workplace flexibility About the Company vCluster Labs is a venture-backed startup pioneering Kubernetes virtualization for the AI era. Backed by top-tier VCs like Khosla Ventures, we provide the operational stack for AI Cloud providers and AI factories to run GPU-intensive workloads efficiently.