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About the Role
Mirantis is seeking a Technical Product Manager to lead the Kubernetes-as-a-Service for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. This role involves defining the strategy, roadmap, and feature priorities for launching and managing Kubernetes offerings on GPU infrastructure.
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.
Requirements
- 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).
Skills
- Kubernetes operations
- AI stack
- Cluster API
- Kubernetes distributions and lifecycle management
- Hosted or externally managed control planes
- Helm
- GitOps
- Multi-tenancy
- Cluster hardening
- RBAC
- Admission control
- Network policy
- Quotas
- Certificate lifecycle management
- Kubeconfig lifecycle management
- Kubernetes on bare metal
- Node provisioning
- CNI selection
- Load balancing
- Ingress
- Rolling upgrades
- NVIDIA GPU Operator
- NVIDIA device plugins
- SLURM on Kubernetes
Experience Level
- 5+ years
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.
About the Company
- 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.
- By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers.
- As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility.
- Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
- We are a Leader for Container Management in G2 (#2 after AWS)!
Equal Opportunity
- 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 [email protected]
- 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.