Senior Product Manager

vCluster Labs

WorldwideFully remoteFull TimeSeniorInformation Technology
USD 170,000–200,000 a yearPosted 8h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 8 hours ago · apply link checked 1 hour ago

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.

What we look for

  • 5+ years product management experience
  • Cloud infrastructure or distributed systems expertise
  • Kubernetes fluency
  • Customer-facing technical experience
KubernetesProduct ManagementCloud
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