Drimva

HPE

Distinguished Technologist, Product Management, Hybrid Cloud Portfolio & AI Innovation

$170K–$412K

Spring, Texas, United States of America +3 · Principal · Full-time · Posted Sep 16, 2026

Location
Spring, Texas, United States of America
Durham, North Carolina
Andover, Massachusetts
Fort Collins, Colorado
Experience
15+ years of product management experience.
Education
Bachelor's Degree in Computer Science, Engineering, Business, or related field required; MBA or advanced technical degree preferred.

About the job

Leads portfolio-level product management across HPE Hybrid Cloud, aligning roadmaps and dependencies while driving AI-enabled product development and measurable execution outcomes.

What you'll do

  • Lead the Hybrid Cloud Product Management Council and coordinate cross-business-unit priorities, dependencies, risks, and delivery.
  • Modernize product management practices and drive adoption of AI-enabled Product Management and AI-PDLC.
  • Align executives and cross-functional teams on portfolio recommendations, business cases, and execution decisions.

What they ask for

  • Bachelor's Degree in Computer Science, Engineering, Business, or related field.
  • 15+ years of product management experience, including ownership of complex enterprise software, cloud, infrastructure, or platform products.
  • Experience aligning roadmaps and dependencies across multiple product lines or business units.
  • Deep understanding of enterprise software, cloud platforms, AI technologies, and modern product development practices.

Nice to have

  • MBA or advanced technical degree.
  • Experience with AI products, GenAI, LLM platforms, agentic systems, or AI infrastructure.

Pay

USD 179,500 - 358,500 (Colorado), USD 194,000 - 388,000 (Massachusetts), USD 170,000 - 412,500 (North Carolina & Texas) — base salary

Tools

AI-PDLC, GenAI, LLM platforms

AI focus

Coordinates adoption of AI-enabled Product Development Lifecycle practices and AI-enabled product management; experience with AI products, GenAI, LLM platforms, agentic systems, or AI infrastructure is noted.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)