Build the Kubernetes service layer for the AI cloud era, working directly with leading GPU cloud providers, NeoClouds, sovereign clouds, and AI-enabled telcos.
Collaborate with a world-class, distributed team committed to openness and technical excellence.
Shape the product narrative and influence go-to-market success.

Responsibilities:

Own the vision, roadmap, and priorities for k0rdent AI Kubernetes services, defining how providers deliver, differentiate, and operate managed Kubernetes.
Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction.
Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable cluster lifecycle capabilities.

Qualifications:

Strong technical fluency in Kubernetes operations and the AI stack with 5+ years in product management or senior technical role owning a Kubernetes product.
Hands-on familiarity with Cluster API, Kubernetes distributions, hosted control planes, and add-on delivery through Helm and GitOps.
Experience on the provider side of a service at a cloud or hosting company, and experience configuring SLURM on Kubernetes.

We Offer:

Operate some of the most advanced AI infrastructure environments in production today.
Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.

Mirantis

Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI. They have a world-class, distributed team committed to openness and technical excellence.

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