Technical Product Owner, Kubernetes

D
DoiTCloud Intelligence
This role is based remotely as a full-time employee in the US, Canada, UK, Ireland, Estonia, Netherlands, Sweden, Israel, Mexico and Colombia. We are also open to contractors in Eastern Europe.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
2–5 years of experience working closely with public cloud infrastructure, 3+ years of product management experience
Required Skills
KubernetesProduct ManagementDevOpsNetworking

Requirements

  • Experience working in a similar role of a Product Manager / Technical Product Owner.
  • 2–5 years of experience working closely with public cloud infrastructure, with a strong understanding of how it is operated and managed in production environments.
  • 3+ years of product management experience in products relevant to the Kubernetes technology or its ecosystem.
  • A strong product sense for turning messy problems into clear scope and shipped value - without waiting for perfect information.
  • Deep curiosity and technical fluency in cloud fundamentals (identity/IAM, networking, compute, Kubernetes, observability, automation, and cost/billing concepts), and experience building solutions that leverage or focus on these technologies.
  • Coding experience is a plus - enough to collaborate effectively with engineers, reason about feasibility, and understand system behaviors.
  • Excellent communication skills: you can explain complex ideas simply, facilitate alignment, and confidently engage with customers and experts.
  • A bias for action and continuous improvement: you ship, measure, learn, and iterate - building a component that becomes a meaningful competitive differentiator.

Responsibilities

  • Translate the VP’s strategy into a sequenced backlog of problems, user stories, and acceptance criteria that the Engineering team can deliver continuously.
  • Keep work “thin-sliced” so the team can ship frequently, learn quickly, and reduce risk through iteration.
  • Leverage your hands-on DevOps experience and expertise in the real-world workflows of the professionals you’re building for - especially cloud operators and practitioners.
  • Often speak with customers (aiming for 3-5 calls a week) 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, crisp in decision-making, and pragmatic about constraints.
  • 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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