
51 - 200 employees
☁️ SaaS
🏢 Enterprise
💰 $24M Series A on 2024-05
SaaS • Enterprise
vCluster is a Kubernetes virtualization product (from loft-sh) that creates virtual Kubernetes clusters on top of existing Kubernetes infrastructure. It enables dedicated, multi-tenant or private-node clusters for use cases like internal platform standardization, hybrid Kubernetes deployments, sovereign or dedicated customer environments, AI cloud providers and distributed inference. vCluster is positioned as a tooling/product solution for enterprises operating Kubernetes at scale, offering managed features, releases and integrations for internal K8s platforms and cloud-native workflows.
🕒 August 13
🌐 United States, Canada – Remote
💵 $170k - $200k / year
⏰ Full Time
🟠 Senior
✅ Product Manager
👻 Ghost score 29%
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51 - 200 employees
☁️ SaaS
🏢 Enterprise
💰 $24M Series A on 2024-05
SaaS • Enterprise
vCluster is a Kubernetes virtualization product (from loft-sh) that creates virtual Kubernetes clusters on top of existing Kubernetes infrastructure. It enables dedicated, multi-tenant or private-node clusters for use cases like internal platform standardization, hybrid Kubernetes deployments, sovereign or dedicated customer environments, AI cloud providers and distributed inference. vCluster is positioned as a tooling/product solution for enterprises operating Kubernetes at scale, offering managed features, releases and integrations for internal K8s platforms and cloud-native workflows.
• Align business priorities and technical direction for the product surface • Translate product direction into executable engineering specifications • Partner with the Head of Product and engineering leadership on architecture tradeoffs • Run alpha and beta builds and identify integration issues before customers do • Engage directly with platform engineers and gather customer intelligence • Track the cloud-native ecosystem and emerging tenancy primitives • Shape product positioning and messaging for technical buyers • Partner with go-to-market teams on messaging • Bridge engineering, sales, and marketing so shipped products align with sales and support
• 5+ years in product management, in cloud infrastructure, platform services, or distributed systems • Shipped something other engineers depend on in production • Working knowledge of Kubernetes, including clusters, workloads, and namespaces • Customer-facing infrastructure experience with platform engineers and architects • Experience engaging with AI Cloud operators, regulated enterprises, or large internal platform teams • Bonus: Built a Kubernetes-as-a-Service offering • Bonus: Experience with GPU scheduling, multi-tenant accelerator workloads, or LLM deployment patterns • Bonus: Platform product management experience building internal developer platforms • Adaptability to startup pace and change
• Equity • Bonus • Health, dental, vision, and life insurance for you and eligible dependents (benefits vary depending on country) • Flexible working schedule • Workplace flexibility • Remote-first work culture
Apply Now🕒 August 13
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