Principal AI Factory Solution Product Manager

Hewlett Packard Enterprise

Product Manager defining AI factory solutions and overseeing their lifecycle at HPE. Engaging with customers and cross-functional teams to drive AI product launches and scaling efforts.

Posted 6/2/2026full-timeSpring • Colorado, Texas • 🇺🇸 United StatesLead💰 $160,000 - $349,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Define and drive the overall AI factory at-scale and sovereign solution vision, roadmap, and features, while closely aligning with customer needs and HPE strategic goals.
Define and drive the key software components necessary for the solution, which may be a mix of HPE developed, commercial and community IP.
Conduct market research, competitive analysis, and customer interviews to identify AI factory opportunities and validate solution ideas and software features in a quick turn manner.
Collaborate with engineers, product managers and presales architects to translate requirements into technical specifications and prototypes.
Use this data to inform the build/partner/buy decision on key SW.
Oversee the software integration and end-to-end solution lifecycle, from feature ideation and MVP development to launch, iteration, and scaling.
Monitor solution performance using KPIs like full-stack wins, product mix, customer satisfaction, and iterate offering based on data insights.
Work with legal, finance, pricing and supply chain to setup and manage resale contracts for commercial SW.
Partner with sales and marketing to develop go-to-market strategies, pricing models, support strategies and customer enablement materials.
Ensure solution complies with ethical AI standards while ensuring highest level of data privacy and sovereignty (e.g., GDPR, CCPA).

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree preferred.
10+ years of product management experience, with at least 5 years focused on AI/ML products or solutions.
Demonstrated ability to build large-scale AI solutions that bring together hardware, software and services into a cohesive offering.
Strong understanding of AI technologies, including AI/ML lifecycle (training, tuning, inferencing), large language models, computer vision, and cloud-based AI platforms (e.g., AWS SageMaker, Microsoft AzureML, Google AI).
Proven track record of launching successful AI products, with experience in agile methodologies and tools like Jira.
Background in High Performance Computing (HPC) and experience blending it with AI workloads will be an advantage.
Excellent analytical skills, with proficiency in data analysis and market testing.
Outstanding communication and stakeholder management abilities, capable of presenting to technical and non-technical audiences up to the senior executive/SVP levels.
Ability to thrive in a startup-like fast-paced, innovative environment with strong problem-solving skills.

Benefits

Comp & perks

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

ATS Keywords

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Hard Skills & Tools

AI technologiesAI/ML lifecyclelarge language modelscomputer visioncloud-based AI platformsdata analysisagile methodologiesHigh Performance Computingsoftware integrationproduct management

Soft Skills

analytical skillscommunicationstakeholder managementproblem-solvingcollaborationcustomer enablementmarket researchcompetitive analysisinnovationadaptability

Certifications

Bachelor's degreeMBAadvanced degree