Enterprise AI Product Manager: Knowledge & Workflow AI

Lenovo

North Carolina

On-site

USD 105,000 - 145,000

Full time

17 hours ago
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Job summary

Lenovo is seeking a Product Manager to define the Employee Agent product vision and roadmap, delivering high-value AI scenarios across knowledge, content, collaboration, and workflow execution. You will design AI capabilities and lead end-to-end lifecycle from research to launch, with a focus on measurable outcomes and cross-functional collaboration.

Ideal candidates have strong product delivery skills, experience with enterprise software and AI, and the ability to translate complex business

Qualifications

  • 5+ years of product management in enterprise software, AI, productivity tools, or SaaS.
  • Strong understanding of generative AI, LLMs, RAG, AI agents, and evaluation methodologies.

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.

Skills

Product management
Generative AI
Cross-functional leadership
Enterprise software

Job description

Lenovo is seeking a Product Manager to define the Employee Agent product vision and roadmap, delivering high-value AI scenarios across knowledge, content, collaboration, and workflow execution. You will design AI capabilities and lead end-to-end lifecycle from research to launch, with a focus on measurable outcomes and cross-functional collaboration.

Ideal candidates have strong product delivery skills, experience with enterprise software and AI, and the ability to translate complex business

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