Director of Product Management - AI Essentials

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.

- 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)

- 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

- AI/ML Platform Expertise: Proven experience in inference operations, model lifecycle management, agent frameworks, GPU scheduling, and the enterprise AI toolchain. Please note that this role requires demonstrated expertise in AI/ML product management.

- Software Product Management: Experience building and scaling enterprise software platforms with clear packaging, pricing, and adoption motions. Understands SaaS and platform business models.

- AI Native Product Leadership: Uses AI tools daily to accelerate strategy, 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.

- New Market Development: Experience reaching new buyer personas and building GTM motions into technical communities (data science, MLOps, DevOps). Understands how to land with developers and scale to enterprise buyers.

- Broad Technical Depth: Systems level understanding across AI/ML, cloud platforms, infrastructure, and security. 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. Understands how to build a software monetization engine.

- Technical SME: Understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.

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 179,500 - 358,500 in Colorado // 194,000 - 388,000 in Massachusetts // 194,000 - 412,500 in California // 170,000 - 412,500 in North Carolina & Texas The listed salary range reflects base salary.

Variable incentives may also be offered.

The estimated job application period closure is September 1 2026; this timeline is provided for transparency and internal planning purposes.