Emerging Roles and Qualifications of AI Product Managers: A Topic Modeling Approach
DOI:
https://doi.org/10.14456/jiskku.2025.17Keywords:
AI Product Managers, BERTopic, T-shaped Skills, Artifitial IntelligenceAbstract
Purpose: This study aims to investigate the key responsibilities and qualifications of AI Product Managers, providing insights that can support human resource management in workforce planning, and assist educational institutions in curriculum design.
Methodology: The study employs BERTopic, an unsupervised machine learning technique for topic modeling. The dataset consists of 426 AI Product Manager job postings obtained from an international source. The model’s parameters were tuned using Bayesian optimization. This approach focuses on extracting thematic clusters that represent the roles and qualification requirements of AI Product Managers.
Findings: Eleven thematic roles and eight qualification clusters were identified. Emerging roles include conversational AI and multimodal design, generative AI integration, and strategic ecosystem partnerships. AI Product Managers are expected to be familiar with cloud platforms and related tools, demonstrate empathy and a deep understanding of customers, and possess both domain knowledge and industry experience. These requirements signify the growing need for professionals with T-shaped skills.
Applications of this study: The findings support the design of educational programs, recruitment strategies, and workforce development initiatives across fields related to AI product development.
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