AI Product Manager

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking an AI Product Manager to lead the end-to-end strategy and operational product roadmap, defining value propositions and translating market requirements into product specifications.

Responsibilities:

• Leads and drives the end to end strategy and operational product roadmap for a product
• Defines the value proposition, target customer segments, and business case for platform capabilities and innovations, balancing customer outcomes with company-wide portfolio priorities, revenue impact, margins, and financial targets
• Translate market requirements into clear product requirements through having intimate customer knowledge and business, financial and industry market acumen
• Advises and influences key stakeholders on platform and portfolio strategy across all phases of the lifecycle (e.g., planning, development, launch, management, exit)
• Creates goal alignment and collaborates across value chain partners to drive successful delivery, adoption, and lifecycle management of platform capabilities, enabling effective go-to-market execution and optimized business outcomes

Requirements:

• Bachelor's degree or equivalent in computer science, engineering or related field of study
• 4+ years of work experience in related field
• Technical understanding and knowledge of the relevant industry
• Demonstrated ability to develop product strategy, including the application of AI driven capabilities, and lead teams to achieve results
• Strong business acumen with the ability to use data, analytics, and AI-enabled insights to uncover systemic issues, guide root cause analysis, and enable proactive improvements across support platforms and portals
• Demonstrated skills in cost efficient solution building, financial performance metric creation and analysis
• Technical understanding and knowledge of networking support industry and ability to translate AI and cloud-based solutions into product-specific guidance and technical enablement for teams
• MBA or advanced degree in computer science or engineering preferred