AI Product Manager

About the role

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Responsibilities

• Define Employee Agent product vision, roadmap, and priorities based on user needs and business value.
• Identify and deliver high-value employee AI scenarios across knowledge, content, collaboration, and workflow execution.
• Design AI capabilities such as context, memory, skills, domain-agent orchestration, and enterprise-system integration.
• Lead the end-to-end product lifecycle—from user research and requirements to launch, adoption, and iteration.
• Define and track key metrics, including WAU, retention, task success rate, CSAT, time savings, and AI output quality.
• Collaborate with engineering, design, business, security, and data teams to ensure scalable and responsible delivery.

Qualifications

• 5+ years of product management experience in enterprise software, AI, productivity tools, or SaaS.
• Strong understanding of generative AI, LLMs, RAG, AI agents, and evaluation methodologies.
• Proven ability to turn complex business needs into clear product strategies and requirements.
• Strong user research, data analysis, prioritization, and product delivery capabilities.
• Excellent cross-functional leadership, stakeholder management, and communication skills.
• Experience with enterprise systems, workflows, or global products is preferred.