AI Product Manager - Enterprise AI & Workflow Lead

Lenovo; Morrisville (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

Lenovo in Morrisville, NC is seeking a Product Manager to lead the Employee Agent product vision and roadmap, focusing on AI-enabled knowledge, content, collaboration, and workflow capabilities.

You will partner with engineering, design, and security teams to deliver high-value AI scenarios, measure success with WAU, CSAT, and task completion, and own end-to-end lifecycle from user research to launch and iteration.

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.

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.

Job description

Lenovo in Morrisville, NC is seeking a Product Manager to lead the Employee Agent product vision and roadmap, focusing on AI-enabled knowledge, content, collaboration, and workflow capabilities.

You will partner with engineering, design, and security teams to deliver high-value AI scenarios, measure success with WAU, CSAT, and task completion, and own end-to-end lifecycle from user research to launch and iteration.