Description
Price: EUR35.23 - EUR4.40
(as of Jun 26, 2026 08:15:00 UTC – Details)
AI product management is not a subspecialty of product management. It is a fundamentally different discipline that requires different frameworks for discovery, different standards of data governance, a different approach to launch, and a fundamentally different relationship with users who must trust your product’s probabilistic judgment alongside their own. Most product managers who work on AI products today are applying frameworks designed for deterministic software to systems that behave probabilistically. This book corrects that, AI Product Management: A Practical Guide to Managing Products in the Age of Artificial Intelligence is the complete reference for product managers, founders, product owners and technology leaders who are building AI-powered products and need the structured methodology to do it well. Written by AI product leader and engineering enthusiast Nilesh P Dhage, the book delivers 42 original frameworks developed and refined across multiple AI product cycles in competitive markets. The book is organized into four parts. Part One covers the foundational competencies: the six AI PM superpowers, the Pain-First AI-Second discovery framework, the AI Data Hierarchy and 5-Dimension Data Readiness Framework, and the AI Concept Map and Model Trade-Off Framework for developing technical fluency without a coding background. Part Two covers the complete build-and-launch toolkit: the AI PM Acceleration Stack for 10x team velocity, the AI North Star Canvas for product vision and strategy, the Trust-First GTM Framework for AI launches, and the 6 Principles of Responsible AI as a product design discipline. Part Three covers scaling and measurement: the AI Metrics Pyramid with its four layers from technical performance to user outcomes, the 4-Component AI Flywheel, and the three types of AI network effects. Part Four covers career and future: the 4-Layer AI PM Competency Stack, the 5 Portfolio Components that create inbound career opportunities, and the 2030 AI PM Role Architecture with a 90-day action plan for immediate implementation. Every chapter includes a real-world case study drawn from industry-leading AI products: Spotify’s Discover Weekly for data strategy, Netflix for technical fluency, Google NotebookLM for the acceleration stack, Notion AI for go-to-market trust design, Microsoft for responsible AI, Duolingo for metrics redesign, OpenAI’s ChatGPT for platform scaling, and more. Each case study demonstrates the chapter’s framework applied under real market conditions. Whether you are a product manager transitioning into AI roles, an engineer moving into AI product leadership, a founder building your first AI product, or a senior product leader seeking to elevate your entire team’s AI capability, this book gives you the complete methodology. The AI PM job market grew 312% between 2022 and 2024. Senior AI PMs at top technology companies earn median total compensation exceeding $198,000. The demand is real. The frameworks in this book are the fastest path to meeting it.
ASIN : B0GJ4DYCY9
Accessibility : Learn more
Publication date : March 24, 2026
Language : English
File size : 3.7 MB
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 250 pages
Format : Print Replica
ISBN-13 : 979-8253148822
Page Flip : Not Enabled
Best Sellers Rank: #467,625 in Kindle Store (See Top 100 in Kindle Store) #59 in IT Project Management #71 in Software Project Management #138 in Adult & Continuing Education (Kindle Store)
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