Principal AI Factory Solution Product Manager

Principal AI Factory Solution Product Manager

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

• 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).
• Stay abreast of AI trends, such as generative models, agentic AI, and industry applications.

• 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.

#unitedstates #Hybrid-LI

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

#unitedstates

#highperformancecompute

Job:

Engineering

Job Level:

TCP_05

    

"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 160,000 - 303,000 in Colorado // 152,000 - 349,000 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is July 27 2026; this timeline is provided for transparency and internal planning purposes.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.