Technical Product Manager, Kubernetes Services – Remote (US)

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 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.

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

Responsibilities

• 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

Qualifications :

Strong technical fluency in Kubernetes operations and the AI stack:

• 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

• Hands-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 GitOps

• Fluency in multi-tenancy and cluster hardening: RBAC admission control network policy quotas and certificate and kubeconfig lifecycle

• 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

• Experience on the provider side of a service at a cloud or hosting company or a platform organization that treated its users as paying customers

• Experience configuring or deploying SLURM on Kubernetes (Slinky Soperator or equivalent)

Additional Information :

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.

It is understood that Mirantis Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to

By submitting your resume you consent to the processing and storage of your personal data in accordance with applicable data protection laws for the purposes of considering your application for current and future job opportunities.

We are a Leader for Container Management in G2 (#2 after AWS)!

Remote Work :

Yes

Employment Type :

Full-time