Unstructured Data Account Executive - East

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.

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:

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.

Success goes beyond storage refreshes.

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

The model will adapt to Geo needs, with one Geo leader accountable and country specialists deployed where needed.

Key Responsibilities


* 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.



* 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 faster recovery, stronger AI and analytics performance, lower complexity and cost, and greater 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.



* Orchestrate...