AI Product Manager

Lenovo•Morrisville, NC
•Onsite

About The Position

Lenovo is a global technology powerhouse with a bold vision to deliver Smarter Technology for All. We are seeking an AI Product Manager to define the product vision, roadmap, and priorities for our Employee Agent product. This role will focus on identifying and delivering high-value employee AI scenarios across knowledge, content, collaboration, and workflow execution. You will be responsible for designing AI capabilities such as context, memory, skills, domain-agent orchestration, and enterprise-system integration. The ideal candidate will lead the end-to-end product lifecycle, from user research and requirements to launch, adoption, and iteration, while defining and tracking key metrics to ensure success. Collaboration with engineering, design, business, security, and data teams is crucial for scalable and responsible delivery.

Requirements

  • 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.

Nice To Haves

  • 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.

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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service