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

Strong familiarity with several of the following is preferred: 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 differentiated technology solution, create executive urgency, and turn that conversation into qualified pipeline. You are technically credible without needing to be the Solution Architect. 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.

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

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.
Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let’s Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job: Sales Job Level: Expert

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.

Equal Employment Opportunity is the Law

Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only)

HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees.

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

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Unstructured Data Sales Specialist - AI, Analytics & Cyber Resilience

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