Technical Product Manager, Kubernetes Services for AI Cloud

Mirantis; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Advanced AI infra

NVIDIA GPUs

Open standards

Job summary

Mirantis is seeking 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

Qualifications

• 5+ years in product management, technical product management, or a senior role owning a Kubernetes product or large-scale cluster fleet.
• Hands-on familiarity with Cluster API, Kubernetes distributions and their lifecycle (k0s, kubeadm), hosted or externally managed control planes.
• Fluency in multi-tenancy and cluster hardening: RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycle.
• Experience deploying Kubernetes on bare metal with the NVIDIA GPU Operator and device plugins.

Responsibilities

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

Skills

Kubernetes operations

AI stack

Product management

Cluster API

Helm

GitOps

RBAC

Multi-tenancy

NVIDIA GPU Operator

SLURM on Kubernetes

Tools

Helm

GitOps

Kubernetes distributions

Cluster API

Job description

Mirantis is seeking 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