HPE POD (Modular Data Center Solutions)
Role details
Job location
Tech stack
Job description
This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office., Develop and grow the HPE Modular Data Center (POD) and AI infrastructure business by leading business development activities with external customers, strategic partners, and internal sales teams. Responsible for identifying, shaping, and converting opportunities for modular data center solutions designed to support high-performance computing (HPC), AI infrastructure, cloud services, and enterprise workloads.
Maintains strong knowledge of leading-edge data center technologies including liquid cooling, GPU-accelerated infrastructure, modular construction methodologies, and AI factory architectures. Contributes to the company's solutions portfolio by translating customer requirements into scalable POD solutions and by providing market insight to influence product strategy and portfolio evolution.
Responsible for generating new business opportunities, supporting the full sales lifecycle, and enabling successful deal execution across UKIMEA. Works closely with account teams, solution architects, supply chain, and the delivery organization to ensure successful positioning and execution of HPE modular infrastructure solutions.
Contributes directly to revenue growth, pipeline development, and customer satisfaction while supporting the expansion of the HPE POD ecosystem in UKIMEA
Management Level Definition
Contributions impact the strategic growth and adoption of HPE modular data center solutions and related AI infrastructure offerings.
Applies advanced domain expertise in modular data center infrastructure, HPC environments, and large-scale AI deployments to solve complex customer challenges and shape infrastructure strategy.
Acts as a recognized subject matter expert in POD-based infrastructure solutions and participates in cross-functional initiatives spanning sales, product management, supply chain, and the delivery organization.
Exercises significant independent judgment to identify opportunities, structure deals, and guide customers toward scalable infrastructure solutions. May provide leadership and mentorship to local teams and partner organizations.
Responsibilities
Drive business development activities for HPE POD and modular data center solutions across targeted industries including AI, education, research, and enterprise environments.
Identify, qualify, and develop new opportunities for modular data center deployments including AI factory infrastructure, HPC clusters, GPU environments, and edge data center solutions.
Lead engagement with customers to understand technical, operational, and business requirements for large-scale data center deployments and translate these into POD-based solutions.
Work closely with HPE account teams, solution architects, and partners to develop end-to-end proposals including infrastructure architecture, modular facility design, and lifecycle services.
Act as a trusted advisor to customer executives, infrastructure teams, and decision makers on modern data center architecture, capacity scaling strategies, and AI-ready infrastructure.
Coordinate cross-functional resources including engineering, supply chain, manufacturing partners, and delivery teams to ensure solutions are feasible, scalable, and aligned with customer timelines.
Lead or support major proposal efforts and RFP responses for modular data center solutions, including technical positioning, commercial structuring, and value articulation.
Support the creation of detailed solution architectures including modular data center configurations, cooling strategies (air and liquid).
Develop and maintain relationships with strategic ecosystem partners including cooling technology providers, modular construction manufacturers, and infrastructure integrators.
Provide market intelligence and customer feedback to influence the evolution of the HPE POD portfolio.
Represent HPE in customer engagements, industry forums, and conferences related to modular infrastructure, HPC data centers.
Drive pipeline growth, revenue generation, and long-term strategic partnerships aligned to the HPE POD portfolio., Develop and grow the HPE Modular Data Center (POD) and AI infrastructure business by leading business development activities with external customers, strategic partners, and internal sales teams. Responsible for identifying, shaping, and converting opportunities for modular data center solutions designed to support high-performance computing (HPC), AI infrastructure, cloud services, and enterprise workloads.
Acts as a trusted advisor to customers and internal stakeholders by aligning HPE's modular data center portfolio with customer business outcomes, technical requirements, and growth strategies. Maintains strong relationships with senior customer executives, partners, and ecosystem vendors to drive adoption of POD-based solutions.
Maintains strong knowledge of leading-edge data center technologies including liquid cooling, GPU-accelerated infrastructure, modular construction methodologies, and AI factory architectures. Contributes to the company's solutions portfolio by translating customer requirements into scalable POD solutions and by providing market insight to influence product strategy and portfolio evolution.
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Additional Skills: Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing., All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Requirements
Do you have experience in TCP?, Do you have a Bachelor's degree?, Bachelor's degree in Business, engineering, computer science, or related technical field, or equivalent industry experience.
Typically 6+ years of professional experience in data center infrastructure, HPC environments, modular infrastructure, or enterprise technology solutions.
Experience in business development, solution sales, or infrastructure consulting within enterprise IT, cloud, or data center industries.
Experience engaging with senior technical and executive stakeholders on infrastructure strategy and large-scale technology investments.
Experience supporting complex infrastructure deals involving multiple stakeholders, partners, and delivery organizations.
Knowledge and Skills:
Strong understanding of modern data center architecture including:
- Modular data centers and containerized infrastructure
- High-density GPU and HPC environments
- Liquid cooling and advanced thermal management
- AI infrastructure and accelerated computing platforms
- Enterprise and hyperscale data center operations
Ability to translate complex technical infrastructure concepts into business value and strategic outcomes for customers.
Strong commercial acumen with the ability to structure large infrastructure deals and navigate enterprise procurement processes.
Experience working across multi-technology environments including compute, networking, storage, cooling systems, and facility infrastructure.
Ability to develop scalable infrastructure solutions that enhance performance, efficiency, and time-to-deployment for AI and HPC workloads.