AI Product Manager

AI Product Manager **Description -** **Job Summary / Position Overview** HP is seeking an **AI Product Manager** to define, build, and scale AI-driven products and capabilities across our enterprise platform landscape (e.g., SAP, ServiceNow, MuleSoft, Adobe Commerce, and automation platforms). This role is accountable for **end-to-end product ownership**, including opportunity identification, product strategy, roadmap development, requirements definition, backlog management, delivery partnership with engineering, and ongoing adoption and optimization. The ideal candidate brings a strong **learning mindset and curiosity**, practical familiarity with **AI product management**, and a **technical foundation** enabling effective partnership with engineering and architecture teams. **Key Responsibilities** **AI Product Strategy & Innovation** - Identify, evaluate, and prioritize AI and automation opportunities across enterprise platforms and business processes. - Define product vision, outcomes, and roadmap aligned to business priorities and platform strategy. - Assess platform-native AI capabilities versus custom-built solutions to maximize value, speed, and scalability. **Product Lifecycle Management** - Own the full product lifecycle from ideation through delivery, adoption, continuous improvement, and end-of-life planning. - Translate strategy into clear product requirements, user stories, acceptance criteria, and a well-managed backlog. - Drive product operating rhythms including sprint readiness, prioritization, release planning, and measurable outcomes. **Cross-Functional Leadership & Stakeholder Management** - Partner closely with platform engineering, architecture, security, operations, and business stakeholders to deliver value at enterprise scale. - Provide clear communication on product direction, tradeoffs, milestones, risks, and outcomes to senior stakeholders. **AI Governance, Responsible AI & Risk Management** - Ensure AI products align to responsible AI principles and enterprise expectations for compliance, security, and privacy. - Contribute to governance practices that reduce risk (e.g., model behavior, data exposure, operational controls) while enabling innovation at speed. **Metrics, Adoption & Value Realization** - Define success metrics and drive adoption through iterative enhancements, stakeholder enablement, and outcomes tracking. - Track and report product performance indicators to guide prioritization and future roadmap decisions. **Required Qualifications** - Bachelor’s degree in Business, Engineering, Computer Science, Data Science or related field - **7–10+ years of experience** in Product Management, Digital Transformation, or Enterprise Platforms - Significant experience in product management across digital/software products, with **demonstrated exposure to AI/ML or GenAI concepts and use cases**. - Strong product fundamentals: discovery, requirements definition, prioritization, backlog hygiene, and release execution. - Demonstrated ability to influence and align cross-functional stakeholders in a matrixed enterprise environment. - Curiosity and learning agility: strong ability to learn new domains quickly, ask incisive questions, and turn ambiguity into product clarity. **Preferred Qualifications** - Technical background in software engineering, data, or applied AI/ML; ability to engage with engineering teams on feasibility, architecture considerations, and delivery tradeoffs. - Experience with LLMs, prompt engineering, and responsible AI practices. - Exposure to GenAI platforms and cloud AI services (e.g., Azure AI and similar). - Experience with AI deployment patterns, or scaling AI solutions across large organizations - Experience building AI-powered products or intelligent automation solutions - Product management and AI related certification is a plus **Knowledge, Skills, and Competencies** - Product strategy and roadmap ownership; ability to connect product decisions to measurable business out…