
51 - 200 employees
âď¸ SaaS
đ˘ Enterprise
đ° $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.
đ August 13
đ United States, Canada â Remote
đľ $170k - $200k / year
â° Full Time
đ Senior
â Product Manager
đť Ghost score 41%
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51 - 200 employees
âď¸ SaaS
đ˘ Enterprise
đ° $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 Nowđ August 13
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â° Full Time
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