Technical Product Manager, Kubernetes Services

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take ownership of the vision, roadmap, and priorities for k0rdent AI Kubernetes services.

• Establish how providers deliver, differentiate, and manage Kubernetes solutions for their customers.

• Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into product strategies.

• Collaborate with engineering and architecture to outline requirements, assess trade-offs, and deliver secure, scalable, and reliable cluster lifecycle capabilities.

• Oversee the Kubernetes backlog by incorporating feedback from production deployments and design partners.

• Define the positioning, packaging, and competitive differentiation for k0rdent AI Kubernetes services.

• Develop 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 with silicon, networking, and ecosystem partners regarding reference architecture alignment.

⛳️ Requirements

• Over 5 years of experience in product management, technical product management, or a senior technical position managing a Kubernetes product, managed Kubernetes service, or a large-scale cluster fleet.

• Hands-on experience with Cluster API.

• Knowledge of Kubernetes distributions and their life cycles, including k0s, kubeadm, or equivalent.

• Understanding of hosted or externally managed control planes.

• Familiarity with add-on delivery using Helm and GitOps.

• Proficiency in multi-tenancy and cluster hardening, covering RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycle management.

• Practical experience running Kubernetes on bare metal.

• Experience with node provisioning, CNI selection, load balancing and ingress, and rolling upgrades across control planes and node pools.

• Familiarity with the NVIDIA GPU Operator and device plugins.

• Experience from the provider perspective of a service, whether at a cloud or hosting company or a platform organization that treats its users as paying customers.

• Experience in configuring or deploying SLURM on Kubernetes, such as Slinky, Soperator, or equivalent.

🏝️ Benefits

• Operate within some of the most advanced AI infrastructure environments currently in production.

• Work with cutting-edge NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.

• Contribute to defining operational standards and reliability practices for next-generation AI infrastructure services.

• Influence the integration of AI-powered operational capabilities through k0rdent AI.

• Collaborate with highly skilled engineers tackling complex infrastructure and platform challenges at scale.

• Join a growing organization that is heavily investing in AI infrastructure, platform services, and operational innovation.

• Work with a world-class, distributed team dedicated to openness and technical excellence.