Unstructured Data Revenue Specialist

Hewlett Packard Enterprise; Clayton (NC); On-site; USD 216,000 - 507,000; Full time

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 combines enterprise sales acumen with technical depth to map customer challenges to differentiated capabilities, delivering measurable outcomes.

You will engage CIOs, CTOs, CISOs, data/AI leaders, and infrastructure executives, shaping use cases and building qualified pipelines that accelerate

Qualifications

• 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.
• 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.

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.

Skills

Enterprise sales

Executive communication

Storytelling

Travel willingness

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 combines enterprise sales acumen with technical depth to map customer challenges to differentiated capabilities, delivering measurable outcomes.

You will engage CIOs, CTOs, CISOs, data/AI leaders, and infrastructure executives, shaping use cases and building qualified pipelines that accelerate