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: