Senior Product Manager
AI in this role
Senior Product Manager leading the strategy and development of Private Cloud AI infrastructure products.
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
We are seeking an experienced Product Manager to bring our Private Cloud AI product to the next level. As a Senior Product Manager for PCAI, you will be at the forefront of building and integrating cutting-edge AI and data infra technologies into our private cloud products. You will have a unique opportunity to impact important technical decisions and work closely with GTM teams to bring the new generation of products to market. This role involves leading the strategy, development, execution, and evolution of data infra solutions for Private Cloud AI, HPE’s end-to-end AI solutions that enables data scientists and ML engineers to build and operate ML workflows at scale in an enterprise environment.
The ideal candidate has experience building products for the enterprise and is passionate about working with strategic customers and our Go-to-Market (GTM) team. This role requires close collaboration with our engineering, design, partnerships, research, and GTM teams.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Responsibilities:
- Define and execute a product strategy to unlock AI opportunities across the world’s largest organizations
- Independently leads and drives the end to end strategy and operational product roadmap for one or more complex products or a product portfolio.
- Builds and delivers the value proposition, target customer segments, and business case to bring innovative and disruptive products to market for a product portfolio with respect to the whole company product portfolio (i.e. Product configuration mix, Revenue/Margins, financials, market share).
- Synthesizes market requirements (MRD/PRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen.
- Guides key stakeholders on the portfolio strategy across all phases of the lifecycle (e.g., planning, development, launch, management, exit).
- Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle. (ie. Engineering: product development, Supply Chain: SKUs, inventory and Marketing: marketing and pricing strategies and Go To Market Plan).
Education and Experience Required:
- Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science or engineering preferred.
- 8+ years of work experience in HPC or AI/ML platform infrastructure and tools
- Technical understanding and knowledge of the HPC or AI/ML tooling and infrastructure industry
- Technical understanding and knowledge of the relevant industry.
Knowledge and Skills:
- 8+ years of product management experience in B2B SaaS or IaaS, with a focus on HPC or AI/ML and data infrastructure
- Demonstrate strong technical acumen across enterprise AI and data workflows. Expertise in HPC or AI and ML hardware, ecosystem, and software a plus.
- Experience motivating others at all levels by creating a shared sense of vision and purpose.
- Extensive team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects.
- Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.
- Showcase strong leadership, organizational, and execution skills, along with proven communication abilities
- Experience working with partners and the ecosystem through the full product life cycle: inception, launch, and customer management.
- Extensive skills in cost efficient solution building, financial performance metric creation and analysis
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You:
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#unitedstates#hybridcloudJob:
EngineeringJob Level:
TCP_04"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 132,500 - 252,500 in Colorado // 143,000 - 273,000 in Massachusetts // 126,500 - 290,500 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 December 21 2026; this timeline is provided for transparency and internal planning purposes.HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
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.
How we rate this
Senior Product Manager at Hewlett Packard Enterprise rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where private cloud was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Tell me about a project where machine learning workflows was part of your work. What did you do?
- Tell me about a project where enterprise software was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Private Cloud, AI Infrastructure, Machine Learning Workflows, and Enterprise Software. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get a free CV reviewGet new remote AI product manager jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote AI product manager jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Product roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step