Senior Product Leader & Strategist, AI Networking Solutions

Senior Product Leader & Strategist, AI Networking Solutions 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: HPE Networking is seeking a visionary Senior Product Leader & Strategist to drive the strategy, roadmap, and execution of next-generation Artificial Intelligence (AI) solutions that transform network operations. This role will lead the definition and delivery of AI-powered products that leverage machine learning, large language models (LLMs), generative AI, and agentic AI frameworks to simplify network management, reduce operational complexity, and create measurable business value for customers and partners. As a recognized authority in AI product management, you will serve as the bridge between data scientists, software engineers, business leaders, and customers, translating advanced AI capabilities into differentiated products and services. You will define the long-term vision, establish success metrics, and guide cross-functional teams in bringing innovative AI solutions from concept to market. Key Responsibilities Define and own the product vision, strategy, and roadmap for AI-driven networking and automation solutions. Drive product innovation utilizing machine learning, generative AI, large language models (LLMs), and agentic AI architectures. Identify customer pain points and market opportunities, translating them into compelling product requirements and business outcomes. Establish product success metrics, KPIs, and execution frameworks to measure customer adoption, operational efficiency, and business impact. Partner closely with engineering, data science, UX, sales, customer success, and executive stakeholders to deliver innovative AI capabilities. Develop product positioning, competitive differentiation, and go-to-market strategies for AI-enabled networking solutions. Lead customer research and market analysis to validate product direction and influence investment decisions. Champion the application of emerging AI technologies and industry trends to accelerate innovation and maintain market leadership. Drive cross-functional alignment across multiple organizations and business units to support long-term strategic objectives. Mentor product managers and influence product management best practices across the organization. Represent HPE externally with customers, partners, analysts, and industry forums as a thought leader in AI-powered networking. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field. 10+ years of product management, product strategy, or product leadership experience. Demonstrated experience launching and scaling AI, machine learning, or data-driven products. Strong understanding of large language models, generative AI platforms, agentic AI frameworks, and modern AI architectures. Experience defining product strategy, roadmaps, and measurable business outcomes for enterprise software or cloud-based solutions. Proven ability to lead cross-functional initiatives involving engineering, data science, and business teams. Exceptional communication and executive presentation skills. Strong analytical and data-driven decision-making capabilities. Preferred Qualifications Experience in networking, network operations, cloud networking, enterprise infrastructure, or telecommunications markets. Knowledge of AIOps, network automation, observability, predictive analytics, and autonomous systems. Experience with AI model lifecycle management, MLOps, and AI governance frameworks. Familiarity with conversational AI, copilots, autonomous agents, and multi-agent systems. MBA or advanced degree in Computer Science, Artificial Intelligence, Engineering, or related field. What We Look For Strategic thinker who can balance long-term vision with execution excellence. Customer-centric product leader with strong business judgment. Influential collaborator who brings diverse teams together around a shared outcome. Thought leader passionate about emerging AI technologies and industry transformation. Builder who thrives in ambiguity and drives innovation at scale. 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. Job: Engineering Job Level: TCP_07 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 194,000 - 412,500 in California 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 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.