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Hewlett Packard Enterprise

Senior AI Product Manager

Reposted 2 Months Ago
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In-Office
Spring, TX
121K-277K Annually
Senior level
In-Office
Spring, TX
121K-277K Annually
Senior level
Lead AI product strategy and roadmaps, partner with engineering and data science on model development, define training data and performance benchmarks, manage product lifecycle from concept to deployment, and align cross-functional teams on business cases, go-to-market, and financial outcomes.
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Senior AI Product Manager

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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:

Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.

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:

  • Strategy and Roadmap: Define the vision for AI-driven initiatives, determining build vs. buy decisions and setting long-term AI strategy.
  • Technical Collaboration: Work closely with AI engineers, data scientists, and developers to guide model development, evaluate algorithms, and ensure technical feasibility.
  • Data and Model Management: Define training data requirements, set model performance benchmarks, and monitor data quality, bias, and accuracy.
  • Product Lifecycle Management: Manage the entire process from conceptualization and data acquisition to deployment, testing, and continuous iteration based on user feedback.
  • Cross-Functional Leadership: Act as the bridge between technical teams and non-technical stakeholders, translating complex technical limitations into business impacts.
  • Leads and drives the end-to-end strategy and operational product roadmap for one or more products.
  • Defines the value proposition, target customer segments, and business case to bring one or more innovative and disruptive products to market with respect to the whole company product portfolio (i.e. Product configuration mix, Revenue/Margins, financials, market share).
  • Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen.
  • Advises 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 related field.
  • Technical understanding and knowledge of the relevant industry.

Knowledge and Skills:

  • Expert 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.
  • Expert skills in cost efficient solution building, financial performance metric creation and analysis.
  • Expert business acumen and knowledge of root cause analysis and problem detection.
  • Technical understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.

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

Job:

Engineering

Job 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 120,500 - 276,500 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

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.

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