Technical Product Manager - Kubernetes & Containers

About the Role We're looking for a hands-on Technical Product Manager to work directly with engineering on our Kubernetes and container platform (e.g., Morpheus HKS- Kubernetes Service). This role is more about being in the weeds - writing detailed specs, testing features, generate technical content, digging into customer/support issues, and helping engineering ship the right thing correctly.

- Write detailed product requirements and technical specs for Kubernetes/container features (cluster lifecycle, CSI/storage integration, CNI/networking, autoscaling, upgrades) that engineering can build directly against. - Get hands-on with the product - deploy clusters, test new features, reproduce customer/support issues, and validate fixes before they ship. - Work day-to-day with engineers in sprint planning, backlog grooming, and design reviews - not just handing off requirements, but actively problem-solving alongside them. - Triage and prioritize incoming bugs, customer escalations, and feature requests based on technical severity and impact. - Partner with QA/engineering to define test plans and acceptance criteria for new Kubernetes capabilities. - Support field/sales engineering with technical answers, demos, and troubleshooting for Kubernetes-related customer questions. - Track competitive Kubernetes distributions and ecosystem tools hands-on (installing, testing, comparing) to inform feature decisions with direct technical evidence, not just market reports. - Contribute to release notes, technical documentation, and internal enablement content.

- Bachelor's degree in Computer Science, Engineering, or related field. - 5+ years of experience in product management or a hands-on technical role (engineering, DevOps, SRE) with meaningful direct Kubernetes/container experience. - Comfortable in a terminal - able to stand up a cluster, read logs, and troubleshoot without relying entirely on engineering to explain what's happening.

- Kubernetes core : hands-on experience with control plane components, kubelet, RBAC, namespaces, cluster autoscaling, and upgrade/lifecycle workflows - enough to operate a cluster yourself, not just describe one. - CSI (Container Storage Interface) : practical experience with dynamic volume provisioning, snapshots, and StorageClass/storage policy configuration. - CNI/SDN networking : working knowledge of pod networking, overlay networks, and troubleshooting connectivity issues. - Multi-cluster/multi-tenant environments : hands-on exposure to namespace isolation and multi-tenancy configurations. - Infrastructure-as-Code : ability to read/write basic Terraform or Ansible for provisioning and testing. - CNCF ecosystem tools : direct experience installing/operating Prometheus, Grafana, Calico, or similar add-ons. - Scripting/basic coding : comfortable with Python, Bash, or Go for testing, automation, or quick tooling. - Hybrid virtualization awareness (nice to have): exposure to Kubernetes running on VMware, KVM-based hypervisors, or bare metal.

- Detail-oriented and comfortable getting into technical specifics rather than staying at the strategy level. - Strong collaborator who earns credibility with engineers through technical competence, not just process management. - Good written communicator for specs, bug reports, and technical documentation.

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. - United States of America: Annual Salary USD 160,000 - 303,000 in Colorado // 172,000 - 349,000 in California // 152,000 - 349,000 in Texas The listed salary range reflects base salary.

Variable incentives may also be offered."

The estimated job application period closure is August 31 2026; this timeline is provided for transparency and internal planning purposes.