Technical Product Owner driving DoiT PartnerOps for cloud partners. Leveraging cloud billing expertise and delivering high-impact product outcomes in a remote setting.
Responsibilities
Owns delivery, iteration, and learning velocity for the assigned component.
Turns VP-level direction into clear problems to solve, a prioritized backlog, and incrementally shippable scope.
Works within the Engineering teams to ensure they are always building the highest-value next increment with clarity and quality.
Reviews technical designs, reasons about tradeoffs and constraints, and understands their impact on delivery timelines and system behavior, without being the primary implementer.
Leverages deep experience with cloud ecosystems and partner business models to ensure platform capabilities align with how partners actually operate.
Leverage your hands-on experience within the cloud ecosystem and understanding of channel, reseller, and partner business models.
Develop deep empathy for the workflows of cloud partners: billing operations, margin management, reseller customer management, support operations, and service delivery.
Use direct partner conversations and operational insight to identify friction, gaps, and opportunities to improve how partners run their cloud businesses.
Prioritize capabilities that materially improve outcomes such as revenue growth, operational efficiency, margin visibility, billing accuracy, and scalability.
Bring strong understanding of cloud billing constructs, marketplace programs, margin models, and partner incentives across hyperscalers.
Help shape platform capabilities that manage or abstract complexity in areas such as: Multi-cloud billing aggregation, Partner margin and discount models, Customer invoicing and revenue operations, Usage and cost transparency, Marketplace and private offer workflows.
Speak frequently with partners (aiming for 3–5 conversations a week) and internal stakeholders to validate ideas, refine workflows, and test assumptions.
Engage deeply with cloud partners, MSPs, SIs, and resellers to understand how they operate their cloud businesses.
Communicate clearly and confidently: share concepts early, take feedback openly, synthesize input into decisions, and explain "why" in a way that builds trust.
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 supports partner-grade reliability and scalability.
Define what "success" means for the component with clear metrics (partner adoption, onboarding speed, billing accuracy, workflow completion, retention, reliability signals, partner-reported impact).
Instrument learning: ensure 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.
Ensure platform capabilities account for the operational realities of the cloud partner ecosystem, including billing accuracy, financial reconciliation, and auditability.
Design systems that maintain trust with partners and their customers through transparency, reporting, and reliable financial workflows.
Requirements
7–10 years of direct experience in the cloud ecosystem
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
Coding experience is a plus — enough to collaborate effectively with engineers, reason about feasibility, and understand system behaviors
Excellent communication skills: ability to engage deeply with partners, cloud experts, and internal stakeholders
A bias for action and continuous improvement: you ship, measure, learn, and iterate.
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