Technical Product Manager (Kubernetes Services)

Mirantis; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Mirantis seeks a Technical Product Manager to own the Kubernetes-as-a-Service for k0rdent AI, guiding strategy, roadmap, and feature priorities for provider delivery on GPU infrastructures.

You will translate requirements into clear direction, work with engineering and marketing, and shape how Neocloud deploys validated configurations and managed Kubernetes at scale.

Qualifications

• Hands-on experience running Kubernetes on bare metal, including node provisioning, CNI selection, load balancing and ingress, rolling upgrades across control planes and node pools, and the NVIDIA GPU Operator and device plugins.
• Familiarity with Cluster API, Kubernetes distributions and their lifecycle (k0s, kubeadm, or equivalent), hosted or externally managed control planes, and add-on delivery through Helm and GitOps.
• 5+ years in product management, technical product management, or a senior technical role owning a Kubernetes product, managed Kubernetes service, or large-scale cluster fleet.
• Fluency in multi-tenancy and cluster hardening: RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycle.
• Experience configuring or deploying SLURM on Kubernetes (Slinky, Soperator, or equivalent).

Responsibilities

• Own the vision, roadmap, and priorities for k0rdent AI Kubernetes services.
• Define requirements with engineering and align with providers, field teams, and marketing.
• Create field-facing assets, including technical briefs, battlecards, and reference architectures.
• Represent Mirantis at events, analyst briefings, and customer advisory boards.

Skills

Kubernetes

Product management

Multi-tenancy

RBAC

GitOps

Tools

Cluster API

Helm

Kubernetes distributions

NVIDIA GPU Operator

Job description

• 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 competitive GPU cloud and NeoCloud deals
• 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
• Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable cluster lifecycle capabilities
• Manage the Kubernetes backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning
• Define positioning, packaging, and competitive differentiation for k0rdent AI Kubernetes services
• Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the Kubernetes product lead
• Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, networking, and ecosystem partners on reference architecture alignment
• Impact:
• 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
• 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
• 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

Experience on the provider side of a service, at a cloud or hosting company or a platform organization that treated its users as paying customersHands-on experience running Kubernetes on bare metal, including node provisioning, CNI selection, load balancing and ingress, rolling upgrades across control planes and node pools, and the NVIDIA GPU Operator and device pluginsHands-on familiarity with Cluster API, Kubernetes distributions and their lifecycle (k0s, kubeadm, or equivalent), hosted or externally managed control planes, and add-on delivery through Helm and GitOps5+ years in product management, technical product management, or a senior technical role owning a Kubernetes product, managed Kubernetes service, or large-scale cluster fleetFluency in multi-tenancy and cluster hardening: RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycleExperience configuring or deploying SLURM on Kubernetes (Slinky, Soperator, or equivalent)