Remote Enterprise Data & AI Sales Executive

Hewlett Packard Enterprise; United States; Remote; USD 216,000 - 507,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an experienced Unstructured Data Account Executive to drive growth across AI, analytics, and data modernization. This remote/teleworker role focuses on enterprise accounts in the East region, building pipeline, qualifying opportunities, and closing complex deals.

You will collaborate with field teams, develop strategic plans, and translate technical differentiators into measurable business outcomes while engaging CIOs, CTOs, CISOs, and data leaders.

Qualifications

• 7+ years of successful enterprise technology sales or business development experience.
• Experience selling to enterprise accounts is required.
• Strong consultative and value-based selling skills.
• Ability to understand technical architectures and translate them into business value.

Responsibilities

• Create and own qualified pipeline within assigned strategic accounts and territories.
• Drive demand and market development by shaping use cases and generating customer interest.
• 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 hybrid cloud data architectures.
• Lead consultative discovery to understand customer business, application, data, and infrastructure challenges.

Skills

Enterprise sales

Deal closing

Executive communication

Strategic account management

Cross-functional collaboration

Job description

Hewlett Packard Enterprise is seeking an experienced Unstructured Data Account Executive to drive growth across AI, analytics, and data modernization. This remote/teleworker role focuses on enterprise accounts in the East region, building pipeline, qualifying opportunities, and closing complex deals.

You will collaborate with field teams, develop strategic plans, and translate technical differentiators into measurable business outcomes while engaging CIOs, CTOs, CISOs, and data leaders.