About This Role As the Senior Product Manager for AI Infrastructure as a Service, you will define, build and scale Vodafone's Sovereign GPU as a Service (GPUaaS) proposition, working in close partnership with our Sovereign Cloud team. The offering is aimed at midmarket customers who want to adopt AI but need to do so within sovereign, compliant and cost-predictable boundaries. You will own the end-to-end product lifecycle – from proposition definition and commercial model, through launch, in-life management and roadmap evolution – for a portfolio of sovereign GPU and AI-infrastructure services spanning bare-metal and virtualised GPU capacity, inference and small model training environments, and the supporting tooling.
About This Role As the Senior Product Manager for AI Infrastructure as a Service, you will define, build and scale Vodafone's Sovereign GPU as a Service (GPUaaS) proposition, working in close partnership with our Sovereign Cloud team. The offering is aimed at midmarket customers who want to adopt AI but need to do so within sovereign, compliant and cost-predictable boundaries. You will own the end-to-end product lifecycle – from proposition definition and commercial model, through launch, in-life management and roadmap evolution – for a portfolio of sovereign GPU and AI-infrastructure services spanning bare-metal and virtualised GPU capacity, inference and small model training environments, and the supporting tooling.
What You'll Do Key Accountabilities Proposition & Portfolio Strategy: Define a differentiated, customer-centric Sovereign GPU as a Service proposition for the midmarket. Lead strategic planning with a market and segment perspective, and own the prioritisation of budget and resources to align with business value.



Recommend and agree the overall investment envelope to deliver a strong commercial outcome and business case. Maintain and develop an AI Infrastructure portfolio strategy aligned to this fast moving market
Build & Commercial Model: In partnership with the Sovereign Cloud team, design the operating and commercial model – capacity packaging, consumption models and pricing – and align delivery with target markets and segments. Identify and implement ways to accelerate performance and reduce time to market
Roadmap & Delivery: Own the end-to-end product roadmap, from core sovereign GPU capacity through to higher-value AI platform services (inference, training, model hosting and MLOps). Prioritise features on the basis of customer value, technical feasibility and commercial return
Customer Success – AI Adoption & Revenue: Drive go-to-market alignment, reference architectures, customer proof points and case studies, and deliver revenue growth. Capture customer feedback and channel it into the roadmap
Partnerships & Ecosystem: Manage relationships with GPU/silicon vendors, sovereign platform partners and ISVs to reach strategic alignment and secure the capacity, technology and economics the offering depends on
Internal & External Communications: Act as an internal and external thought leader for sovereign AI infrastructure. Ensure the stakeholder map and communications plan is current and executed with impact
Core Competencies,



Knowledge And Experience Experience in a similar product management role within the Telco, cloud or IT infrastructure industry
Understanding of AI/ML infrastructure – GPU compute, inference and training workloads, model hosting and MLOps
Understanding of cloud and sovereign cloud principles – data residency, operational sovereignty and jurisdictional control
Knowledge of the midmarket segment and its AI adoption drivers and barriers
Excellent communicator – clear, precise written and verbal style; facilitation skills a plus
Commercial and business-case development skills, including consumption-based pricing
Experience working in a customer-facing, influential position, building strong relationships with peers and stakeholders
A problem solver – able to identify root causes, make decisions and implement, working without close supervision
Who You Are Key Skills & Attributes Ability to communicate complex technical concepts – AI infrastructure, GPU compute and digital sovereignty – in simple, compelling ways
Excellent stakeholder management across engineering, commercial and market teams, and across multiple geographies
Demonstrable ability to lead, co-ordinate and influence teams in a matrix organisation – direct, virtual and supplier – to deliver required outcomes
Comfortable presenting to a wide range of audiences, from C-level and sales teams through to analyst communities and technically-aware engineering teams
Strong commercial acumen – able to build business cases and consumption-based pricing models for infrastructure services
Experience of working under tight timelines in a fast-moving, competitive market, delivering proven results
Must-Have Technical / Profess

📌 Senior Product Manager (Madrid)
🏢 Vodafone
📍 Madrid