Senior Product Manager - Ai Infrastructure As A Service - Vodafone

Vodafone; Málaga; Híbrido; EUR 75.000 - 105.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Remote work

Health Insurance

Life Insurance

Vacation Days

Pension Plan

Online Learning

Descripción de la vacante

Vodafone is seeking a Product Manager to define, build, and scale its Sovereign GPU as a Service for midmarket customers in Spain. You will own the product lifecycle from proposition to roadmap, coordinating with Sovereign Cloud, partners, and finance to deliver a scalable AI infrastructure with sovereign data residency.

You will drive GTM, reference architectures, and customer proof points, managing partnerships with GPU vendors and sovereign platform partners.

Formación

• 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.
• Excellent communicator with clear written and verbal style; facilitation skills a plus.
• Commercial and business-case development skills, including consumption-based pricing.
• Experience in a customer-facing, influential role with peers and stakeholders.

Responsabilidades

• Define a differentiated Sovereign GPU as a Service proposition for the midmarket and align with market strategy.
• Design the operating and commercial model (capacity packaging, consumption models, pricing) and accelerate time-to-market.
• Own 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 revenue.
• Manage partnerships with GPU/silicon vendors, sovereign platform partners and ISVs for capacity, technology and economics.
• Act as an internal and external thought leader on sovereign AI infrastructure; maintain an effective stakeholder map and communications plan.

Conocimientos

Cross-functional leadership

Stakeholder management

Communication skills

AI/ML infrastructure

GPU compute

Herramientas

GPU vendors partnerships

Descripción del empleo

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 salary
• Up to 20 days remote work
• Private Health and Life Insurance
• 25 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 strategy
• Design the operating and commercial model (capacity packaging, consumption models, pricing) and accelerate time-to-market
• Own 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 revenue
• Manage partnerships with GPU/silicon vendors, sovereign platform partners and ISVs for capacity, technology and economics
• Act as an internal and external thought leader on sovereign AI infrastructure; maintain an effective stakeholder map and communications plan
• 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 with clear written and verbal style; facilitation skills a plus
• Commercial and business-case development skills, including consumption-based pricing
• Experience in a customer-facing, influential role with peers and stakeholders
• Problem solver capable of root-cause analysis and decisive action in a dynamic environment
• Stakeholder management across engineering, commercial and market teams
• Cross-functional leadership in a matrix organisation
• GPU compute, AI/ML workloads (inference and training)
• Model hosting and MLOps
• Cloud and sovereign cloud concepts (data residency, jurisdictional control)