About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Backed by Insight and Sapphire.
About the role
Own the vision, roadmap, and priorities for k0rdent AI Kubernetes services, defining how providers deliver, differentiate, and operate managed Kubernetes for their own customers Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction
What they're looking for
- 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
- Help define operational standards and reliability practices for next-generation AI infrastructure services
- Influence the adoption of AI-powered operational capabilities through k0rdent AI
- Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale
- Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation
More about this role
Mirantis is looking for a Technical Product Manager to own the Kubernetes-as-a-Service for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the strategy, roadmap, and feature priorities that determine how Neocloud operators launch and run managed Kubernetes offerings on their own GPU infrastructure.
Managed Kubernetes sits at the intersection of cluster lifecycle automation and service provider operations, and the product must hold both worlds together. You will shape how k0rdent AI delivers validated cluster configurations and add-on compositions, hosted control planes at fleet scale, node pools bound to GPU machine types, tenant isolation, credential issuance, and upgrade cycles across hundreds of clusters. Operators assemble this today from bespoke automations and expertise that is difficult to source. Your job is to make it something a Neocloud configures rather than builds.
You will work directly with engineering to shape requirements, the rest of the Product Management team shaping k0rdent AI for providers, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in...
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