Managing AI-First Products: Roles, Skills, Challenges, and Strategies of AI Product Managers

Artificial intelligence (AI) is revolutionizing industries, offering significant opportunities for innovation while introducing unique complexities in product management. Despite its transformative potential, research on the distinct responsibilities, challenges, and skills required of AI product managers (AI PMs) remains limited, leaving a critical gap in understanding how to effectively manage AI-driven products. This study addresses this gap using a grounded theory approach to analyze the evolving roles of AI PMs and propose strategies for managing the complexities of AI-first product development. Central to this study is the introduction of the AI PM archetype persona framework that encompasses expanded responsibilities, specific challenges and mitigation strategies, essential skills and competencies, AI product lifecycle management, personality traits, and the application of generative AI tools in product management. These findings provide actionable insights for practitioners and organizations, enabling them to tackle AI challenges, refine product lifecycle strategies, and foster sustainable innovation in an AI-driven market landscape.

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Publication Details

Journal
IEEE Engineering Management Review
Published
2025-01-22
DOI
https://doi.org/10.1109/emr.2025.3530942
Citations
4
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
9.14
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article

Managing AI-First Products: Roles, Skills, Challenges, and Strategies of AI Product Managers

Nishant A. Parikh
4 citations
IEEE Engineering Management Review
Big Data and Business Intelligence
9.14
article

Managing AI-First Products: Roles, Skills, Challenges, and Strategies of AI Product Managers

Nishant A. Parikh
article en
4 citations

Abstract

Artificial intelligence (AI) is revolutionizing industries, offering significant opportunities for innovation while introducing unique complexities in product management. Despite its transformative potential, research on the distinct responsibilities, challenges, and skills required of AI product managers (AI PMs) remains limited, leaving a critical gap in understanding how to effectively manage AI-driven products. This study addresses this gap using a grounded theory approach to analyze the evolving roles of AI PMs and propose strategies for managing the complexities of AI-first product development. Central to this study is the introduction of the AI PM archetype persona framework that encompasses expanded responsibilities, specific challenges and mitigation strategies, essential skills and competencies, AI product lifecycle management, personality traits, and the application of generative AI tools in product management. These findings provide actionable insights for practitioners and organizations, enabling them to tackle AI challenges, refine product lifecycle strategies, and foster sustainable innovation in an AI-driven market landscape.

IEEE Engineering Management ReviewVol. 53(5)
Mastercard (United States) (US), Capitol Technology University (US)
Decent work and economic growth
Openalex Percentile: Top 3%
Big Data and Business Intelligence
9.14
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Managing AI-First Products: Roles, Skills, Challenges, and Strategies of AI Product Managers — Nishant A. Parikh · IEEE Engineering Management Review (2025) | TGRS Research Map | TGRS