Integrating generative Artificial Intelligence (GenAI), particularly large language models (LLMs), into product management offers new possibilities for efficiency, creativity, and strategic innovation. However, many product managers lack a systemic approach to applying artificial intelligence (AI) tools effectively throughout the product development lifecycle. This study aims to develop a conceptual framework for integrating GenAI into six core stages of product management: ideation and user research, opportunity discovery, strategic planning, feature specification, prototyping, and post-launch optimization. The methodology synthesizes peer-reviewed research from the fields of AI, product management, and innovation management. The framework demonstrates that GenAI can support tasks such as trend identification, roadmap drafting, requirement generation, and user feedback analysis. It emphasizes human-in-the-loop oversight to ensure reliability, accountability, and contextual relevance. The proposed framework is intended to be generalizable across industries and serves both theoretical and practical contributions to digital product innovation.