Unstructured Data Account Executive - Telco

Hewlett Packard Enterprise; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an Unstructured Data Account Executive to drive growth in Telco across AI analytics and data modernization. This remote role requires building pipeline, engaging CIO/CTO-level stakeholders, and translating complex data solutions into business value.

You will collaborate with geo leaders and account teams to win opportunities, deliver differentiated capabilities, and accelerate modernization in customer environments.

Qualifications

• 7+ years in enterprise technology sales or business development.
• Experience selling to Telco accounts is required.
• Proven ability to create pipeline and close complex deals.

Responsibilities

• Create and own qualified pipeline in strategic Telco accounts.
• Shape use cases and drive demand to build opportunities.
• Translate technical value to measurable business outcomes.
• Collaborate with cross-functional teams to close deals.

Skills

Enterprise sales

Telco accounts

Pipeline development

Executive communication

Job description

Unstructured Data Account Executive - Telco

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 onfinding 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 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.

What We’re Looking For

• 7+ years of successful enterprise technology sales, specialist sales, or business development experience.
• Experience selling to Telco 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.
• 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 competing against-Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality