Director of Product Management – AI Essentials

Hewlett Packard Enterprise

Director of Product Management defining and executing AI-powered software solutions at Hewlett Packard Enterprise. Leading product initiatives while collaborating across engineering and architecture teams.

Posted 6/11/2026full-timeSpring • California, Colorado, Massachusetts, North Carolina, Texas • 🇺🇸 United StatesLead💰 $179,500 - $412,500 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Own end to end strategy, roadmap, and delivery of HPE's enterprise AI software platform across all deployment models
Drive modular platform architecture spanning production inference, agent deployment, GenAI workflows, and edge AI
Define and execute GTM strategy targeting new buyer personas (data science, MLOps, AI platform teams)
Build monetization and packaging strategy across modular software offerings
Align cross functionally with Private Cloud, Edge, and GreenLake Platform teams
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 (i.e. Product configuration mix, Revenue/margins, financials, market share)
Drives integration of the product portfolios lifecycles to business unit goals across all phases of the product portfolio and business unit lifecycle (e.g. planning, development, launch, management, exit)

Requirements

What you’ll need

Bachelor's degree or equivalent in computer science, engineering or related field of study.
MBA or advanced degree in computer science or engineering preferred
15+ years of work experience in product management or related field
5+ years of progressive product management leadership in AI/ML, data infrastructure, and/or data science domains
Experience building or scaling AI/ML platforms targeting data science and MLOps personas
Track record of taking software products from early stage to meaningful revenue
Deep familiarity with inference, model serving, agent frameworks, and GPU ecosystem
Demonstrated daily use of AI tools in professional workflow
Strong preference for candidates with experience in the AI ecosystem.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI software platformmodular platform architectureGTM strategymonetization strategyproduct lifecycle managementinferencemodel servingagent frameworksGPU ecosystemAI tools

Soft Skills

cross-functional alignmentexecutive communicationstrategic thinkingleadershipcustomer segmentationbusiness case developmentinnovationdisruption managementproduct configurationfinancial analysis

Certifications

Bachelor's degreeMBAadvanced degree in computer scienceadvanced degree in engineering