Senior AI Product Manager, Private Cloud Infrastructure

Hewlett Packard Enterprise; Andover (MA); On-site; USD 143,000 - 273,000; Full time

Job summary

Hewlett Packard Enterprise seeks an experienced Senior Product Manager to drive PCAI, our Private Cloud AI platform, and align AI/data infrastructure with enterprise needs. You will own strategy, roadmap, and collaboration with GTM and engineering teams.

You will translate market requirements into MRD/PRD, define value propositions, and guide portfolio decisions across lifecycle. Financial acumen and ability to influence across functions are essential.

Qualifications

• Bachelor's degree in computer science, engineering or related field; MBA or advanced degree preferred.
• 8+ years of work experience in HPC or AI/ML platform infrastructure and tools.
• Technical understanding of HPC/AI tooling and infrastructure industry.
• Technical understanding of the relevant industry.

Responsibilities

• Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations.
• Independently lead end-to-end strategy and roadmap for one or more complex products or a portfolio.
• Build value propositions, segments, and business cases to bring AI products to market.
• Translate MRD/PRD into marketing/customer details with deep customer insight.
• Guide stakeholders on portfolio strategy across lifecycle stages.
• Collaborate across value chain partners to optimize margins and enable success.

Skills

Product management

Enterprise AI

Leadership

Cross-functional collaboration

Communication

Strategic thinking

Partner ecosystem

Cost efficiency

Education

Bachelor's degree in CS/Engineering

MBA or advanced degree preferred

Job description

Hewlett Packard Enterprise seeks an experienced Senior Product Manager to drive PCAI, our Private Cloud AI platform, and align AI/data infrastructure with enterprise needs. You will own strategy, roadmap, and collaboration with GTM and engineering teams.

You will translate market requirements into MRD/PRD, define value propositions, and guide portfolio decisions across lifecycle. Financial acumen and ability to influence across functions are essential.