In this role you will define, build and scale Vodafone’s Sovereign GPU as a Service offering for midmarket customers, ensuring sovereign data residency and compliance. You will own the product lifecycle from proposition to roadmap, collaborating with Sovereign Cloud, partners and finance to deliver a commercially sound, scalable AI infrastructure. You’ll translate midmarket AI needs into a differentiated, trusted platform and drive GTM, reference architectures and customer proof points. This is a strategic, cross-functional role focused on enabling sovereign AI adoption at scale.Bonus on top of gross salaryUp to 20 days remote workPrivate Health and Life Insurance25 vacation days plus December 24th and 31st off","Optional Pension Plan","Online learning platform"],Define a differentiated Sovereign GPU as a Service proposition for the midmarket and align with market strategyDesign the operating and commercial model (capacity packaging, consumption models, pricing) and accelerate time-to-marketOwn end-to-end roadmap from core GPU capacity to higher-value AI platform services (inference, training, model hosting, MLOps)Drive go-to-market alignment, reference architectures, customer proof points and case studies to grow revenueManage partnerships with GPU/silicon vendors, sovereign platform partners and ISVs for capacity,



technology and economicsAct as an internal and external thought leader on sovereign AI infrastructure; maintain an effective stakeholder map and communications planExperience in a similar product management role within the Telco, cloud or IT infrastructure industryUnderstanding of AI/ML infrastructure – GPU compute, inference and training workloads, model hosting and MLOpsUnderstanding of cloud and sovereign cloud principles – data residency, operational sovereignty and jurisdictional controlKnowledge of the midmarket segment and its AI adoption drivers and barriersExcellent communicator with clear written and verbal style; facilitation skills a plusCommercial and business-case development skills, including consumption-based pricingExperience in a customer-facing, influential role with peers and stakeholdersProblem solver capable of root-cause analysis and decisive action in a dynamic environmentStakeholder management across engineering, commercial and market teamsCross-functional leadership in a matrix organisationGPU compute, AI/ML workloads (inference and training)Model hosting and MLOpsCloud and sovereign cloud concepts (data residency, jurisdictional control)
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📌 Senior Product Manager - Ai Infrastructure As A Service - Vodafone (Madrid)
🏢 Vodafone
📍 Madrid