Pure Storage, Inc. logo

Client Executive

Job Overview

Location

Remote, New York

Job Type

Full-time

Category

Sales

Date Posted

April 6, 2026

Full Job Description

đź“‹ 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

Remote
Degree Required

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Pure Storage, Inc.
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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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