← Back to jobsJob ID col-cmvbd5vdi0mo6rz01k2bkhk7m

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

  • 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)

Required skills

Kubernetes OperationsCluster APIKubernetes Distributions k0sKubernetes Distributions kubeadmHosted Control PlanesHelmGitOpsRBACAdmission ControlNetwork PolicyKubernetes Bare-Metal OperationsCNILoad Balancing and IngressKubernetes Rolling Upgrades

Full job description

Technical Product Manager, Kubernetes Services – Remote (US) jobs in United States

Mirantis

  • Senior Level
  • Artificial Intelligence (AI)

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

Benefits

  • 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.
  • Glassdoor
  • 3.5
  • Enterprise AI infrastructure and Kubernetes management software.
  • Campbell, California, USA
  • http://www.mirantis.com
  • Distribution of Different Job Fields Receiving Sponsorship
  • Represents job field similar to this job
  • Product Management
  • Engineering and Development
  • Customer Service and Support
  • Creatives and Design
  • Trends of Total Sponsorships
  • *2026
  • (2)
  • 2025
  • (3)
  • 2024
  • (4)
  • 2023
  • (8)
  • 2022
  • (6)
  • 2021
  • (7)

Qualifications

  • 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)

Required skills

  • , Kubernetes Operations, Cluster API, Kubernetes Distributions k0s, Kubernetes Distributions kubeadm, Hosted Control Planes, Helm, GitOps, Kubernetes Multi-Tenancy and Cluster Hardening, RBAC, Admission Control, Network Policy, Kubernetes Bare-Metal Operations, CNI, Load Balancing and Ingress, Kubernetes Rolling Upgrades, NVIDIA GPU Operator and Device Plugins, SLURM on Kubernetes

Experience

  • 5+ years

Job details

Employment type

Full-time

Seniority level

5+ years

Sector · Sub-sector

Product · Product Management

Date posted

Oct 16, 2026

Work mode

Remote

Job source

jobs.smartrecruiters.com

Company

Mirantis

Product

  • Remote, USA
  • Product

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