Technical Product Manager - Kubernetes & Containers

About This Role

This Technical Product Manager role involves working closely with engineering on the company's Kubernetes and container platform. It suits a hands-on individual who can write detailed specifications, test features, generate technical content, investigate customer and support issues, and guide engineering to deliver the right solutions effectively.

Responsibilities

• Write detailed product requirements and technical specifications 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, 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

Requirements

• Bachelor's degree in Computer Science, Engineering, or a 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