AI Product Managers (AI PMs) are emerging as a significant trend in the product management industry, with companies eagerly hiring for these roles despite a lack of consensus on their exact definition. Unlike traditional PMs, AI PMs work with probabilistic systems, collaborating closely with data science and machine learning teams to define model success and optimize AI tools for solving customer problems. There are five distinct types of AI PMs, each focusing on different aspects: AI agent PMs automate manual tasks, conversational AI PMs develop dialogue-based interfaces, AI tool PMs create technical tools for data scientists, AI research PMs commercialize AI research, and data platform AI PMs build the infrastructure for AI systems. Each type requires specific skills and focuses on unique outcomes, reflecting the diverse nature of AI PM roles. As the industry evolves, AI PMs are expected to integrate AI into their work increasingly, adapting to the fast-paced changes and contributions from AI advancements like OpenAI and LogRocket's insights into user experience.