Unstructured Data Sales Specialist – AI & Analytics

Hewlett Packard Enterprise

California City (CA)

On-site

USD 246,000 - 507,000

Full time

2 days ago
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Job summary

Hewlett Packard Enterprise is seeking an experienced Unstructured Data Sales Specialist to drive growth across AI, analytics, cyber resilience, rapid recovery, and file/object modernization. The role requires building demand, developing pipeline, and closing opportunities by aligning customer challenges with differentiated capabilities.

You will engage CIOs, CTOs, CISOs, and data/AI leaders, translating technical differentiation into measurable business value and faster outcomes.

Qualifications

  • 7+ years of enterprise technology sales or business development experience.
  • Ability to create pipeline and close complex opportunities in storage/data infrastructure or related tech.
  • Strong consultative, value-based selling and executive storytelling skills.

Responsibilities

  • Create and own qualified pipeline within assigned strategic accounts and territories.
  • Drive demand and market development by shaping use cases and converting whitespace into pipeline.
  • Identify whitespace, displacement opportunities, and new use cases beyond traditional storage refresh cycles.
  • Develop opportunities across AI infrastructure, analytics, data lakes, cyber resilience, and high‑performance storage.
  • Lead consultative discovery to understand customer challenges and translate tech differentiation into business value.
  • Engage CIOs, CTOs, CISOs, and data/AI leaders to advance opportunities and close deals.
  • Orchestrate cross‑functional teams across account executives, partners, and product teams.

Skills

Enterprise sales
Pipeline development
Executive engagement
Consultative selling
Negotiation skills
Travel readiness
Technical storytelling

Job description

Hewlett Packard Enterprise is seeking an experienced Unstructured Data Sales Specialist to drive growth across AI, analytics, cyber resilience, rapid recovery, and file/object modernization. The role requires building demand, developing pipeline, and closing opportunities by aligning customer challenges with differentiated capabilities.

You will engage CIOs, CTOs, CISOs, and data/AI leaders, translating technical differentiation into measurable business value and faster outcomes.

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