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Unstructured Data Account Executive - East

Remote / Online - Candidates ideally in
Johns Creek, Fulton County, Georgia, USA
Listing for: Hewlett Packard Enterprise
Full Time, Remote/Work from Home position
Listed on 2026-10-29
Job specializations:
  • Sales
    Technical Sales, IT / Software Sales
  • IT/Tech
    Technical Sales, IT / Software Sales
Salary/Wage Range or Industry Benchmark: 150000 - 220000 USD Yearly USD 150000.00 220000.00 YEAR
Job Description & How to Apply Below
Unstructured Data Account Executive - East

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

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.

We have the flexibility to manage our work and personal needs. HPE is seeking an experienced Unstructured Data Sales Specialist to drive growth across AI, analytics, cyber resilience, rapid recovery, and file/object modernization.

This revenue-generating role requires a seller who can create demand, build pipeline, open opportunities, and sell emerging technologies.

The ideal candidate pairs enterprise sales expertise with the technical depth to connect customer challenges and differentiated capabilities to measurable outcomes.

You will help customers unlock data value, modernize architectures, strengthen cyber resilience, accelerate AI and analytics, and simplify complex environments.

Create and own qualified pipeline within assigned strategic accounts and territories.

  • Drive demand and market development by shaping use cases, generating customer interest, and converting whitespace into qualified pipeline.
Analytics, data lakes and Lakehouse modernization
  • Lead consultative discovery to understand customer business, application, data, and infrastructure challenges.
Cyber resilience and rapid recovery
  • Translate technical differentiation into faster recovery, stronger AI and analytics performance, lower complexity and cost, and greater business agility.
High-performance S3 and hybrid cloud data architectures
  • Orchestrate account teams, partners, ISVs, marketing, and product stakeholders around priority markets, use cases, and growth plays.

Develop and execute competitive strategies against incumbent and emerging data infrastructure providers.

Represent HPE at customer workshops, executive briefings, industry events, and partner engagements.

Deliver against a balanced scorecard spanning business results, pipeline, ecosystem growth, AI alignment, and market development.

Establish the role and market foundation in 1H FY27, then scale knowledge and best-practice sharing in 2H to prepare Storage sellers for deeper FY28 engagement.

7+ years of successful enterprise technology sales, specialist sales, or business development experience.

  • Experience with selling to Enterprise accounts required
  • Demonstrated ability to create pipeline and close complex enterprise opportunities.
  • Experience selling storage, data infrastructure, AI infrastructure, analytics, data protection, or related technologies.
  • Proven ability to sell new or disruptive technologies where customer education and market creation are required.
  • Ability to work effectively across account executives, technical teams, partners, and executive stakeholders.
  • Willingness to travel for customer and partner engagements.
Data lakes, Lakehouse’s and analytics Backup, recovery and cyber resilience Hybrid and multi-cloud data architectures High-performance data infrastructure

Experience with—or competing against—Dell Technologies, Net App, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar providers is highly desirable.

You uncover needs before a storage project exists, connect them to differentiated solutions, create executive urgency, and convert conversations into qualified pipeline.

Technically credible but not the Solution Architect, you move easily from AI, analytics, recovery, and data architecture to executive discussions of risk, economics, competitive…

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