Technical Product Owner - DoiT PartnerOps
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DoiTCloud Technology
Remote UK; East US, Canada, the UK or IrelandFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 7–10 years
- Required Skills
- AWSArtificial IntelligenceGCPKubernetesMicrosoft AzureRESTful APIsGenerative AI
Requirements
- 7–10 years of direct experience in the cloud ecosystem, ideally across roles such as cloud operations, FinOps, partner operations, or building platforms that serve cloud customers or partners.
- Strong experience with cloud billing systems, cost and usage data, or revenue operations within cloud environments.
- Deep understanding of the cloud partner ecosystem (resellers, MSPs, SIs, distributors, marketplaces).
- Experience building or operating platforms that serve channel or partner-driven business models.
- Strong product sense for turning messy operational problems into clear scope and shipped value with an excellent user experience.
- Technical fluency in cloud fundamentals and APIs across AWS, Google Cloud, and/or Azure.
- Demonstrated experience using AI to accelerate product specifications and development.
- Excellent communication skills.
- A bias for action and continuous improvement.
Responsibilities
- Own delivery, iteration, and learning velocity for the assigned component.
- Turn VP-level direction into clear problems to solve, a prioritized backlog, and incrementally shippable scope.
- Run the feedback loop: discover → define → build → release → measure → iterate, repeatedly.
- Work within the Engineering teams to ensure they are always building the highest-value next increment with clarity and quality.
- Review technical designs, reason about tradeoffs and constraints, and understand their impact on delivery timelines and system behavior.
- Leverage deep experience with cloud ecosystems and partner business models to ensure platform capabilities align with how partners actually operate.
- Speak frequently with partners (aiming for 3–5 conversations a week) and internal stakeholders to validate ideas, refine workflows, and test assumptions.
- Operate as a core member of the component’s Engineering team.
- Define what “success” means for the component with clear metrics.
- Ensure platform capabilities account for the operational realities of the cloud partner ecosystem, including billing accuracy, financial reconciliation, and auditability.
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