Senior Data Protection Product Manager

Pure Storage, Inc.

Santa Clara (CA)

On-site

USD 198,000 - 297,000

Full time

15 hours ago
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Benefits offered by this job

Flexible time off
Wellness resources
Team events

Job summary

Everpure, a data platform provider, is seeking a Principal Product Manager for Data Protection to shape multi-year strategy for enterprise file and object protection. You will own the roadmap, define RTO/RPO benchmarks, and collaborate with Systems Engineering, UX, and Product Marketing to ensure scalable, reliable protection across distributed environments.

In this role, you will drive cross-functional delivery, influence executive stakeholders, and translate complex data workflows into clear

Qualifications

  • Comprehensive technical grounding in enterprise unstructured data storage, protection workflows, and lifecycle management.
  • Experience guiding complex, high-scale enterprise infrastructure products from concept through adoption.
  • Proven ability to lead cross-functional teams and engage executive stakeholders.

Responsibilities

  • Define multi-year roadmap for large-scale unstructured data protection across file and object systems.
  • Establish RTO/RPO benchmarks and storage-efficiency targets for measurable business value.
  • Translate enterprise data workflows into clear technical requirements for delivery across teams.
  • Collaborate with enterprise architects, UX, and product marketing to shape future product generations.

Skills

Unstructured data protection
Product strategy
Portfolio lifecycle
Leadership
Communication

Job description

Everpure, a data platform provider, is seeking a Principal Product Manager for Data Protection to shape multi-year strategy for enterprise file and object protection. You will own the roadmap, define RTO/RPO benchmarks, and collaborate with Systems Engineering, UX, and Product Marketing to ensure scalable, reliable protection across distributed environments.

In this role, you will drive cross-functional delivery, influence executive stakeholders, and translate complex data workflows into clear

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