Senior Product Manager - AI Infrastructure as a Service

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.

You will translate the AI-adoption needs of midmarket customers into a differentiated infrastructure proposition that removes the cost, complexity and compliance barriers that hold this segment back. Working hand-in-hand with the Sovereign Cloud team, you will ensure the offering is built on genuinely sovereign foundations – EU data residency, operational sovereignty and the relevant certifications – and you will define how GPU capacity is packaged, priced and consumed so that customers can start small and scale as their AI maturity grows.

You will build and own the roadmap for the offering, evolving it from core GPU capacity towards higher-value AI platform services, and prioritise investment based on customer value, technical feasibility and commercial return. A particular focus is enabling AI adoption at the midmarket: you will partner with local markets to build the go-to-market motion, reference architectures and customer proof points that make sovereign AI infrastructure accessible and trusted. You will work across Group and Local Product Managers, Sovereign Cloud engineering, partners (GPU/silicon vendors, sovereign platform providers and ISVs) and Finance to shape a compelling and commercially sound offering.

What you’ll do

Key Accountabilities

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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

1. Experience in a similar product management role within the Telco, cloud or IT infrastructure industry
2. Understanding of AI/ML infrastructure – GPU compute, inference and training workloads, model hosting and MLOps
3. Understanding of cloud and sovereign cloud principles – data residency, operational sovereignty and jurisdictional control
4. Knowledge of the midmarket segment and its AI adoption drivers and barriers
5. Excellent communicator – clear, precise written and verbal style; facilitation skills a plus
6. Commercial and business-case development skills, including consumption-based pricing
7. Experience working in a customer-facing, influential position, building strong relationships with peers and stakeholders
8. 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 / Professional Qualifications

• Demonstrable experience defining and launching cloud, infrastructure or AI products that meet business expectations and deliver results
• Familiarity with GPU compute, AI/ML workloads and cloud consumption models
• Understanding of EU digital-sovereignty requirements and their impact on infrastructure design and delivery
• Exceptional organisational and communication skills, with the personal tenacity to drive through to conclusion in a dynamic and challenging environment
• Strong cross-functional working capabilities and excellent reporting and analytical skills

What's in it for you

• Hybrid work model
• Bonus on top of the gross salary.
• Flexible working hours
• Up to 20 days per year of 100% remote work from other locations.
• Private Health and Life Insurance for employees.
• 25 vacation days, plus December 24th and 31st off.
• Optional Pension Plan.
• Access to an online learning platform for continuous training.
• More...

#LI-Hybrid

REF: 288140

Please, apply with an English version of your CV.

Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

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