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This position was posted on April 6, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Job Overview
Location
Remote, New York
Job Type
Full-time
Category
Sales
Date Posted
April 6, 2026
Full Job Description
📋 Description
- • As a Client Executive at Pure Storage, you will serve as the strategic architect and lead executive for two major healthcare-focused accounts, driving the transformation of legacy infrastructure into strategic technology partnerships using the Everpure Platform.
- • Your day-to-day responsibilities include defining and executing multi-year global account strategies, owning revenue growth by exceeding quarterly and annual quotas, cultivating deep trusted-advisor relationships with C-suite healthcare executives, leading global team-selling efforts with cross-functional and partner teams, and evangelizing innovation by aligning customer insights with technology solutions to solve TCO and clinical data challenges.
- • Pure Storage is a leader in the data storage industry, reshaping how organizations manage and leverage data, with a mission to deliver transformative data solutions that improve patient outcomes and operational efficiency at scale, backed by recognition as a Fortune Best Workplace in Technology and a Great Place to Work®.
- • In this role, you will develop expert-level strategic sales and healthcare domain expertise, master data-driven sales execution using Salesforce and Clari, strengthen executive influence through sophisticated business case development, and grow as a trusted advisor shaping the future of digital health infrastructure globally.
Skills & Technologies
About Pure Storage, Inc.
Pure Storage, Inc. is a Mountain View, California-based technology company that designs and manufactures all-flash storage arrays and data-management solutions for enterprise and cloud environments. Founded in 2009, it delivers NVMe storage, unified file-and-block platforms, and subscription services aimed at simplifying data operations and reducing total cost of ownership for large-scale workloads, databases, and analytics.
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