Easy Apply
Easy Apply
As a Technical Product Owner, you will lead backlog management, engage with users, support the engineering team, and ensure product success metrics are met.
Location:. 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.
Who We Are
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.
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:
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.
Qualifications
- 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
- 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.
Bonus Points
- 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
How success will be measured
- The component’s roadmap advances through frequent, high-quality releases with clear customer value.
- Customer feedback loops are strong: you can show how insights translated into shipped improvements.
- Adoption and outcomes improve measurably (usage, engagement, workflow completion, reliability, and customer impact).
- The Engineering team consistently has clarity on the next most valuable increment to build - and why.
Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.
Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button.
Full-time employee benefits:
- Unlimited PTO
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
Many Do’ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
#LI-Remote
Top Skills
Automation
Cloud Fundamentals
Compute
Iam
Identity
Kubernetes
Networking
Observability
Public Cloud Infrastructure
DoiT New York, New York, USA Office
1 Little West 12th St, , NY , New York, New York, United States, 10014
Similar Jobs
Enterprise Web • Fintech • Marketing Tech • Software
The UX Designer will create user-centered designs for desktop, web, and mobile products, collaborate with cross-functional teams, and utilize data-informed design approaches to enhance user experiences.
Top Skills:
Agile MethodologiesAi ToolsClaudeFigma
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
As a Sales and Value Engineer, you will support Account Executives by leading technical discussions, creating integration solutions, and driving customer engagement to close enterprise deals.
Top Skills:
CmmsData EngineeringData ScienceIotMesSaaSVibration Analysis
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As Senior Manager of Product Management, you'll guide a team to enhance Dropbox.com, aligning web experience with strategy, stakeholders, and user needs.
Top Skills:
Adobe AnalyticsAdobe Experience ManagerAmplitudeContentfulGoogle AnalyticsWebflow
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
