Director of Product Management – AI Essentials

Hewlett Packard Enterprise•Durham, NC

2d•$170,000 - $412,500•Hybrid

About The Position

The Director of Product Management, AI Essentials is responsible for defining and driving the strategy, development, and execution of AI-powered software solutions within the organization’s broader product portfolio. This individual will lead end-to-end product initiatives, partnering closely with engineering, architecture, and go-to-market teams to deliver scalable solutions that address real customer needs. The role requires a strong understanding of modern AI technologies and their practical application, along with the ability to translate complex concepts into clear product direction. This is a high-impact opportunity to shape a rapidly growing area of the business and help bring innovative AI capabilities to market.

Requirements

Bachelor's degree or equivalent in computer science, engineering or related field of study.
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
Proven experience in inference operations, model lifecycle management, agent frameworks, GPU scheduling, and the enterprise AI toolchain.
Experience building and scaling enterprise software platforms with clear packaging, pricing, and adoption motions.
Uses AI tools daily to accelerate strategy, analysis, and communication.
Produces decision oriented materials for senior leadership with minimal revision.
Experience reaching new buyer personas and building GTM motions into technical communities (data science, MLOps, DevOps).
Systems level understanding across AI/ML, cloud platforms, infrastructure, and security.
Aligns engineering, GTM, and operations in a matrixed environment.
Connects product decisions to revenue, pricing, and competitive positioning.

Nice To Haves

MBA or advanced degree in computer science or engineering preferred
Strong preference for candidates with experience in the AI ecosystem
Understands SaaS and platform business models.
Designs products with AI as a core capability.
Engages credibly in executive forums without extensive pre wires.
Understands how to land with developers and scale to enterprise buyers.
Sees broadly across products and GTM.
Uses AI to go deeper as needed.
Forces decisions and builds credibility quickly.
Understands how to build a software monetization engine.
Understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.

Responsibilities

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)