Technical Product Owner, Kubernetes

US, Canada, UK, Ireland, Estonia, Netherlands, Sweden, Israel, Mexico and Colombia. We are also open to contractors in Eastern Europe.Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
2–5 years of experience
Required Skills
KubernetesDevOpsNetworking

Requirements

  • 2-5 years of experience in a Product Manager / Technical Product Owner role
  • 2-5 years of experience with public cloud infrastructure, managed in production
  • 3+ years of experience in the Kubernetes space
  • Strong product sense for turning messy problems into clear scope
  • Technical fluency in cloud fundamentals (identity/IAM, networking, compute, Kubernetes, observability, automation, cost/billing concepts)
  • Experience building solutions leveraging cloud technologies
  • Coding experience (a plus)
  • Excellent communication skills
  • Bias for action and continuous improvement
  • Experience with developer tools, infrastructure, and SaaS platforms (bonus)
  • Experience working directly with a founder or early-stage startup (bonus)
  • Background in analytics, growth, or UX research (bonus)

Responsibilities

  • Translate the VP’s strategy into a sequenced backlog of problems, user stories, and acceptance criteria.
  • Keep work “thin-sliced” so the team can ship frequently, learn quickly, and reduce risk through iteration.
  • Maintain a disciplined cadence of backlog refinement, sprint readiness, and scope negotiation.
  • Leverage hands-on DevOps experience and customer conversations to identify friction, gaps, and opportunities.
  • Prioritize enhancements that materially improve outcomes: speed, reliability, clarity, safety, governance, cost impact, or operational simplicity.
  • Speak with customers and cross-functional DoiT stakeholders regularly to test ideas, validate assumptions, and pressure-test tradeoffs.
  • Operate as a core member of the component’s Engineering team, present in daily collaboration and crisp in decision-making.
  • Partner with Engineering leads on sequencing, technical tradeoffs, and delivery planning.
  • Define what “success” means for the component with clear metrics (adoption, activation, workflow completion, time-to-value, retention, reliability signals, customer-reported impact).
  • Ensure product requirements account for real-world cloud environments: IAM boundaries, auditability, guardrails, and safe defaults.
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