Remote Unstructured Data Sales Specialist

Hewlett Packard Enterprise

Georgia

Remote

USD 216,000 - 507,000

Full time

6 hours ago
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Job summary

Hewlett Packard Enterprise seeks an experienced Unstructured Data Sales Specialist to drive growth across AI, analytics, cyber resilience, rapid recovery, and file/object modernization. This remote role requires an enterprise sales background and the ability to open opportunities, create demand, and sell emerging technologies with measurable outcomes.

The candidate will engage CIOs, CTOs, CISOs, and data/AI leaders, build pipelines in assigned territories, and partner with account teams to close

Qualifications

  • 7+ years of successful enterprise technology sales experience.
  • Experience with selling to Enterprise accounts is 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 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 across account executives, technical teams, partners, and executive stakeholders.
  • Willingness to travel for customer and partner engagements.

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, analytics, data lakes and Lakehouse modernization, cyber resilience and rapid recovery,enterprise file/object storage, and high-performance S3/hybrid cloud data architectures.
  • Lead consultative discovery to understand customer business, application, data, and infrastructure challenges.
  • Translate technical differentiation into faster recovery, stronger AI/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.

Skills

Enterprise sales
Consultative selling
Executive communication
Pipeline development
Storytelling
Negotiation
Cross-functional collaboration
Travel readiness

Job description

Hewlett Packard Enterprise seeks an experienced Unstructured Data Sales Specialist to drive growth across AI, analytics, cyber resilience, rapid recovery, and file/object modernization. This remote role requires an enterprise sales background and the ability to open opportunities, create demand, and sell emerging technologies with measurable outcomes.

The candidate will engage CIOs, CTOs, CISOs, and data/AI leaders, build pipelines in assigned territories, and partner with account teams to close

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