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 global 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. Our culture thrives on finding new and better ways to accelerate what’s next.

We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. 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. The ideal candidate combines strong enterprise selling skills with enough technical depth to understand customer challenges, tell compelling technology stories, and connect differentiated capabilities to measurable business outcomes. 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. Identify whitespace, competitive displacement opportunities, and new use cases beyond traditional storage refresh cycles. AI infrastructure, inference and RAG Analytics, data lakes and Lakehouse modernization 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. Partner with HPE account teams, Solution Architects, partners, ISVs, marketing, and product teams to advance opportunities and close business.

Develop and execute competitive strategies against incumbent and emerging data infrastructure providers. Represent HPE at customer workshops, executive briefings, industry events, and partner engagements. 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. ~ Ability to understand technical architectures and translate them into clear business value. ~ Proven ability to sell new or disruptive technologies where customer education and market creation are required. ~ Strong executive communication, storytelling, presentation, and negotiation skills. ~ Competitive mindset with experience developing displacement strategies. ~ Ability to work effectively across account executives, technical teams, partners, and executive stakeholders. ~ Willingness to travel for customer and partner engagements.

Preferred

Market & Technology Knowledge S3, NFS and SMB AI infrastructure, inference and RAG Data lakes, Lakehouse’s and analytics 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 are a hunter, storyteller, and business builder. 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. Most importantly, you know how to turn technology differentiation into customer preference, pipeline, and revenue. 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.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You





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. Personal & Professional Development We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #Sales Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan. Of that on-target pay amount, the mix of base salary and target-level sales compensation is 60%/40%. HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer.

We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. 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.

Hewlett Packard

Enterprise is EEO Protected Veteran/ Individual with Disabilities. 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. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. 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.

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