High-energy Sales Professional

NetApp’s Alabama, United States of America

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Title: Client Executive

Location:

Gurugram, HR, IN, 122002

Requisition ID: 135950

High-energy Sales Professional role focused on driving career growth through Data Management and Cloud technology initiatives.

Opportunity to evangelize NetApp’s technology strengths and help enterprise customers build a future-proof data platform.

Strategic position within NetApp’s Enterprise segment, shaping account strategies and delivering innovative solutions.

Develop and execute strategies to expand NetApp’s presence across key enterprise accounts in the North Region.
Create long-term and short-term account plans, set financial targets, and define critical milestones.
Build and maintain a robust sales pipeline to meet quarterly business objectives.
Lead end-to-end sales processes, engaging resources such as Pre-Sales Consultants, Executives, and Partners.
Drive value-based selling, business case development, and leverage analyst data for strategic engagement.
Collaborate with internal teams, ISVs, SI partners, and domain specialists to design competitive solutions.
Balance short-term results with a long-term vision to maximize revenue growth.

15+ years of experience in enterprise technology sales, preferably in high-end products or software solutions.
Strong understanding of technical specifications for NetApp products and enterprise application landscapes.
Demonstrable CXO-level relationships and experience handling large, complex projects.
Proven ability to work with channel partners and distributors and leverage internal and external teams.
Excellent communication and interpersonal skills for building relationships across organizational levels.
Ability to gauge market trends and develop effective business plans.
Bachelor’s degree in Electronics Engineering, Computer Science, or related field required; graduate degree preferred.

Job Segment: Pre-Sales, Electronics Engineer, Cloud, Computer Science, Data Management, Sales, Engineering, Technology, Data