Distinguished Technologist, Product Management, Hybrid Cloud Portfolio & AI Innovation
Hewlett Packard Enterprise
- Location
- Spring Texas United States of America
- Work model
- Hybrid
- Level
- Staff
- H-1B history
- 167 approvals (FY2023)
- Posted
- Sep 16, 2026
About this role
Distinguished Technologist, Product Management, Hybrid Cloud Portfolio & AI Innovation This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description
The Opportunity HPE Hybrid Cloud is seeking an experienced Distinguished Technologist, Product Manager to lead portfolio-level product management execution across the Hybrid Cloud business and serve as the executive lead for the Hybrid Cloud Product Management Council. The successful candidate will implement AI-PDLC capabilities, operationalize Product Management Council decisions, drive cross-functional execution, and deliver measurable business outcomes through disciplined program leadership, innovation execution, and continuous improvement. This role serves as the portfolio-level Product Management leader for Hybrid Cloud, integrating roadmaps, delivery dependencies, operating rhythms, and product management practices across independently managed business units while driving AI adoption and portfolio execution excellence. A significant focus of this role will be accelerating adoption of AI-enabled Product Development Lifecycle (AI-PDLC) practices by coordinating cross-business-unit readiness, integrating dependencies across product and engineering teams, and ensuring metrics are tied to customer, delivery, and operational outcomes. You will work as part of a cross functional team to accomplish this and will need significant influencing skills to accomplish the goal. As the leader of the Hybrid Cloud Product Management Council, you will act as a connective force across the portfolio, aligning and integrating cross-business-unit dependencies across customer outcomes, AI innovation investments, portfolio simplification, platform execution, quality improvements, and execution excellence.
Responsibilities
Hybrid Cloud Product Portfolio Leadership Lead portfolio-level product management execution across the Hybrid Cloud organization. Drive alignment of business-unit roadmaps priorities to support integrated Hybrid Cloud execution. Own cross-portfolio roadmap dependency management, ensuring critical dependencies, risks, and delivery blockers are identified, tracked, escalated, and resolved across business units. Establish portfolio-wide mechanisms for roadmap transparency, dependency management, execution tracking, and customer outcome measurement. Drive resolution of roadmap conflicts, execution challenges, and cross-functional delivery issues. Partner directly with business unit leaders to ensure delivery dependencies are visible, commitments remain on track, and measurable operating outcomes are achieved. Product Management Council Leadership Establish and evolve the mission, operating model, governance, and effectiveness of the Product Management Council. Foster collaboration across product organizations representing multiple Hybrid Cloud businesses. Surface and resolve portfolio-wide product challenges, roadmap conflicts, customer needs, and cross-functional dependencies. Drive adoption of common product management frameworks, tools, processes, and best practices. Facilitate sharing of innovation, market insights, competitive intelligence, AI initiatives, and product management learnings across