Senior Director of Product Management, Private Cloud Edge

About the role

The role is a Senior Director of Product Management, Hybrid, with an expectation of working 2 days per week from an HPE office.

Job Description

Own unified Private Cloud Edge strategy and roadmap across all deployment models and verticals.
Define use case driven solutions spanning AI inferencing at the edge, OT/IT convergence, and distributed workloads.
Dive alignment across compute, networking, storage, and enterprise hybrid software teams to deliver one coherent Edge strategy.
Build and scale a focused, high quality PM team for Edge.
Deliver executive ready materials and reviews with minimal iteration.
Provides guiding principles for and defines value proposition, customer segmentation, and business case to bring innovative and disruptive business unit products to the market.

Responsibilities

• Own unified Private Cloud Edge strategy and roadmap across all deployment models and verticals.
• Define use case driven solutions spanning AI inferencing at the edge, OT/IT convergence, and distributed workloads.
• Drive alignment across compute, networking, storage, and enterprise hybrid software teams to deliver one coherent Edge strategy.
• Build and scale a focused, high quality PM team for Edge.
• Deliver executive ready materials and reviews with minimal iteration.
• Provides guiding principles for and defines value proposition, customer segmentation, and business case to bring innovative and disruptive business unit products to the market.

Requirements

• Bachelor's degree or equivalent in computer science, engineering or related field of study.
• MBA or advanced degree in computer science or engineering preferred.
• 18+ years of work experience in related field. (10+ years in product management, 5+ years in edge, IoT, distributed infrastructure, or related product domains).
• 7+ years of experience in progressive leadership related to product management.
• Experience managing products deployed across thousands of remote or distributed sites.
• Track record of defining and executing use case driven GTM strategies across multiple verticals.
• Familiarity with connected, disconnected, and air gapped deployment models.
• Demonstrated daily use of AI tools in professional workflow.

Qualifications

• Edge and Distributed Infrastructure Expertise: Deep understanding of edge computing architectures, disconnected and air gapped operations, fleet management at scale, and the unique constraints of remote site deployments.
• AI Native Product Leadership: Uses AI tools daily to accelerate research, analysis, and communication. Designs products with AI as a core capability.
• Executive Communication and Presence: Produces decision oriented materials for senior leadership with minimal revision. Engages credibly in executive forums without extensive pre wires.
• Use Case and Vertical Orientation: Experience defining solutions around specific customer use cases and industry verticals rather than generic platform capabilities. Understands how to narrow scope and prioritize for impact.
• Broad Technical Depth: Systems level understanding of cloud platforms, infrastructure, networking, and AI/ML. Sees broadly across products and GTM. Uses AI to go deeper as needed.
• Cross Functional Leadership: Aligns engineering, GTM, and operations in a matrixed environment. Forces decisions and builds credibility quickly.
• Commercial Acumen: Connects product decisions to revenue, pricing, and competitive positioning.
• Technical SME: Understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.

Skills

• Edge and Distributed Infrastructure Expertise: Deep understanding of edge computing architectures, disconnected and air gapped operations, fleet management at scale, and the unique constraints of remote site deployments.
• AI Native Product Leadership: Uses AI tools daily to accelerate research, analysis, and communication. Designs products with AI as a core capability.
• Executive Communication and Presence: Produces decision oriented materials for senior leadership with minimal revision. Engages credibly in executive forums without extensive pre wires.
• Use Case and Vertical Orientation: Experience defining solutions around specific customer use cases and industry verticals rather than generic platform capabilities. Understands how to narrow scope and prioritize for impact.
• Broad Technical Depth: Systems level understanding of cloud platforms, infrastructure, networking, and AI/ML. Sees broadly across products and GTM. Uses AI to go deeper as needed.
• Cross Functional Leadership: Aligns engineering, GTM, and operations in a matrixed environment. Forces decisions and builds credibility quickly.
• Commercial Acumen: Connects product decisions to revenue, pricing, and competitive positioning.
• Technical SME: Understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.

Pay

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Annual Salary USD 189,000 - 377,000 in Colorado
  204,000 - 408,000 in Massachusetts
  204,000 - 434,000 in California
  179,500 - 434,000 in North Carolina & Texas

Schedule

The role is a Hybrid role with an expectation of working 2 days per week from an HPE office.