purestorage
Director of Product Management, Enterprise Data Cloud
At a Glance
- Location
- Santa Clara, California, United States
- Work Regime
- onsite
- Posted
- 2026-07-08T11:37:29-04:00
Key Requirements
Domain Knowledge
- Automation
- Cloud
- SaaS
Requirements
Platform Product Leadership:
Demonstrated expertise leading product strategy for complex, large-scale enterprise platforms, SaaS, cloud infrastructure, or data management ecosystems, with a proven ability to design abstract service layers, APIs, and policy-driven automation frameworks
Data & Infrastructure Expertise:
Deep technical fluency in enterprise data management challenges—specifically data governance, multi-cloud infrastructure, cyber resilience, metadata management, and building AI-ready data pipelines
Strategic Execution & Communication:
Exceptional ability to synthesize complex technical dependencies into pragmatic roadmaps, influence executive stakeholders globally, and partner with go-to-market teams to translate sophisticated technical capabilities into compelling value propositions
Compensation & Benefits
$239,000
—
$359,000 USD
WHAT YOU CAN EXPECT FROM US:
Innovation
: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Responsibilities
As the Director of Product Management for the Enterprise Data Cloud, you will champion Everpure’s most strategic product initiative, transforming how global organizations manage, govern, and secure their distributed data estates
Leading a high-impact, cross-functional collaboration across engineering, architecture, and go-to-market teams, you will pioneer the transition from infrastructure-centric storage to an autonomous, data-centric operating model
Your mission is to deliver a unified, policy-driven platform that completely abstracts infrastructure complexity, enabling enterprise customers to effortlessly unlock data intelligence and achieve absolute cyber resilience
Define and Execute Platform Strategy:
Architect the comprehensive product vision and long-term strategy for the Enterprise Data Cloud, establishing clear adoption paths, maturity models, and value realization metrics that accelerate customer migration to autonomous data operations
Deliver Autonomous Data Operations: