Unstructured Data Sales Specialist – AI, Analytics

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Unstructured Data Sales Specialist – AI, Analytics & Cyber Resilience

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

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 know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:Role Overview

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. Success in this role means more than responding to storage refreshes. 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.

Key Responsibilities

- 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.
- Develop opportunities across: 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.
- Build a compelling why change, why now, why HPE value proposition.
- 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.

What We’re Looking For

7+ years of successful enterprise technology sales, specialist sales, or business development experience. Demonstrated ability to create pipeline and close complex enterprise opportunities. Experience selling storage, data infrastructure, AI infrastructure, analytics, data protection, or related technologies. Strong consultative and value-based selling skills. 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

- 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.

The Ideal Candidate

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

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