Technical Product Owner, Kubernetes - PerfectScale

DoiT

5d•Remote

About The Position

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. About DoiT's PerfectScale Platform DoiT offers PerfectScale, a pioneering Kubernetes optimization and management solution that empowers DevOps, SRE, and Platform Engineering teams to optimize cloud performance while minimizing costs. We combine advanced technology with SME-human expertise to help organizations achieve peak Kubernetes efficiency. The solution delivers a seamless onboarding experience, an intuitive UI, and a powerful autonomous optimization engine that ensures Kubernetes environments run efficiently with minimal human intervention. The Opportunity As a Technical Product Owner, you will be responsible for:

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 experience in the Kubernetes space
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
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.

Nice To Haves

Coding experience is a plus - enough to collaborate effectively with engineers, reason about feasibility, and understand system behaviors.
Experience with developer tools, infrastructure, and SaaS platforms
Experience working directly with a founder or early-stage startup
Background in analytics, growth, or UX research

Responsibilities

Fast iteration and backlog leadership
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.
Maintain a disciplined cadence of backlog refinement, sprint readiness, and scope negotiation to keep delivery predictable without slowing innovation.
Deep user and workflow understanding
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.
Use firsthand domain knowledge and ongoing customer conversations to identify friction, gaps, and opportunities for differentiation.
Prioritize enhancements that materially improve outcomes: speed, reliability, clarity, safety, governance, cost impact, or operational simplicity.
Customer validation and external communication
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.
Communicate clearly and confidently: share concepts early, take feedback openly, synthesize input into decisions, and explain “why” in a way that builds trust.
Rely on your hands-on, DevOps experience to go deep with stakeholders (internal/external) into the technical details of the problem, our solution, and the contexts and environments in which both of these exist.
Support beta/design-partner motions where appropriate by shaping hypotheses, success criteria, and rollout plans.
Engineering-embedded technical product ownership
Operate as a core member of the component’s Engineering team - present in daily collaboration, crisp in decision-making, and pragmatic about constraints.
Partner with Engineering leads on sequencing, technical tradeoffs, and delivery planning - ensuring product intent survives implementation realities.
Ensure the component is cohesive across UX, APIs, data, and operational behavior - and that it meets a high bar for reliability and customer trust.
Quality, outcomes, and measurement
Define what “success” means for the component with clear metrics (adoption, activation, workflow completion, time-to-value, retention, reliability signals, customer-reported impact).
Instrument learning: make sure releases are measurable and that insights reliably flow back into prioritization.
Own release readiness for your component: documentation, enablement inputs, and clear communication of what’s new and why it matters.
Safety, governance, and trust by design
Ensure product requirements account for real-world cloud environments: IAM boundaries, auditability, guardrails, and safe defaults.
Partner with security, support, and customer teams to anticipate edge cases and ensure the component earns trust over time.