This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Hewlett Packard Enterprise is the integral edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. HPE is seeking an experienced Unstructured Data Sales Specialist to drive growth across some of the fastest-growing areas of enterprise data infrastructure, including AI, analytics, cyber resilience, rapid recovery, and file/object modernization.
This is a revenue-generating sales role for someone who can create demand, develop pipeline, open new opportunities, and sell emerging technologies. You will help customers identify new ways to use their data, modernize legacy architectures, improve cyber resilience, accelerate AI and analytics initiatives, and simplify increasingly complex data environments.
Create and own qualified pipeline within assigned strategic accounts and territories. AI infrastructure, inference and RAG Analytics, data lakes and Lakehouse modernization Cyber resilience and rapid recovery Enterprise file and object storage High-performance S3 and hybrid cloud data architectures Lead consultative discovery to understand customer business, application, data, and infrastructure challenges. Translate technical differentiation into outcomes such as faster recovery, improved AI performance, faster analytics, reduced infrastructure complexity, lower cost, and improved business agility.
Engage CIOs, CTOs, CISOs, data/AI leaders, infrastructure executives, architects, and application owners. Develop and execute competitive strategies against incumbent and emerging data infrastructure providers. What We're Looking For 7+ years of successful enterprise technology sales, specialist sales,



or business development experience. Experience selling storage, data infrastructure, AI infrastructure, analytics, data protection, or related technologies. Enterprise file and object storage S3, NFS and SMB AI infrastructure, inference and RAG Data lakes, Lakehouse's and analytics Backup, recovery and cyber resilience Hybrid and multi-cloud data architectures High-performance data infrastructure Experience with or selling against platforms from Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar enterprise data infrastructure providers is highly desirable.
You can enter an account without an active storage project, uncover an important customer problem, connect it to a differentiated technology solution, create executive urgency, and turn that conversation into qualified pipeline. You can move comfortably from a technical discussion about AI, analytics, recovery, or data architecture to an executive conversation about business risk, economics, competitive advantage, and transformation. Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities.
If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Personal & Professional Development We also invest in your career because the better you are, the better we all are. Job Sales Job Level Expert Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

📌 Unstructured Data Sales Specialist - Ai, Analytics & Cyber Resilience (Cataluña)
🏢 Hewlett Packard Enterprise
📍 Cataluña