
Mastering Product Management inÂ
the Age of AI
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The definitive AI playbook for aspiring and current Product Managers. This practical, hype-free guide gives you the essential AI literacy, actionable frameworks, and explicit career roadmap to lead with confidence in the age of AI (no coding required)
By Dr. Marily Nika and Diego Granados, AI Product Managers at Top Tech Companies
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This playbook is designed for the modern Product Manager who is ready to lead in the age of AI. Whether you are an experienced PM looking to translate your skills to the new world of AI, an aspiring PM building the foundational knowledge for a new role, or a product leader aiming to drive an AI-first culture, this book provides the practical, hands-on frameworks to bridge the gap between product strategy and data science.
FOR EXPERIENCED PMs
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This playbook is your bridge from product management to AI product leadership. You'll get the actionable frameworks to cut through the hype, confidently lead data science teams, and translate complex model performance into business impact—so you can stop just translating requirements and start defining your product's AI strategy.
FOR ASPIRING AI PMs
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This is your hands-on guide to building the foundational knowledge for a role in AI product management. You won’t just learn disconnected concepts; you’ll get a clear roadmap of the different AI PM roles and the explicit guidance to build a portfolio that gets you noticed, giving you the credible foundation to stand out and land a role in AI.
WHAT'S INSIDE THE PLAYBOOK
Your Complete Roadmap to Mastering AI Product Management is Here
A PLAYBOOK FOR THE NEW REALITY OF PRODUCT
Does your work as a Product Manager involve these emerging challenges?
THE JARGON WALL
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You see AI dominating the industry conversation, but the technical jargon feels like a different language. You worry that you won't be able to hold your own in a product review or lead a technical team effectively when "model accuracy" and "feature vectors" become part of your daily vocabulary.
THE PRESSURE FOR AN "AI STRATEGY"
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Leadership is asking "What's our AI strategy?" and you see pressure to bolt on AI features without a clear connection to user value. You know that without a proper framework, even the most powerful technology will fail to solve a real user problem.
THEÂ "BLACK BOX" DILEMMA
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You understand that AI makes decisions differently than traditional software, and the thought of being accountable for a "black box" feature is daunting. You know you'll need a new set of skills to manage, monitor, and build user trust in a product you can't always explain.
THE ROI RIDDLE
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You're an expert at building a business case for a standard feature, but AI projects feel like a leap of faith because their outcomes are probabilistic. You don’t have the framework to calculate the ROI of a machine learning model or translate its technical performance into a clear business impact, making it nearly impossible to justify to leadership.
THE CAREER CROSSROADS
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Your core PM skills are strong, but you see every job description adding "AI experience" as a requirement. You worry about your career staying relevant in an AI-driven world and need a clear, practical path to gain the knowledge that will define the next generation of product leaders.
If you're ready to move beyond these challenges and lead in the new era of product, this playbook is your next step.
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Here is a chapter-by-chapter breakdown of what you'll master.
Part I: Foundational AI/ML Concepts
Chapter 1: Your Foundational Guide to AI & ML - What Every Product Manager Needs to Know
Chapter 2: A Peek Under the Hood - How Machine Learning Models Actually Learn
Chapter 3: The AI Toolkit - From Supervised Learning to Generative AI
Chapter 4: The AI Lifecycle - Your Roadmap from Problem to Deployed Model
Part II: AI PM Specializations
Chapter 5-7: Chart Your Career in AI - Finding Your PM Specialty
Part III: Connecting the Dots Between AI/ML Knowledge and PM Craft
Chapter 8: Identifying AI Opportunities - How to Mine Your Product for AI Gold
Chapter 9: Calculating ROI for AI Projects - How to Measure Impact and Demonstrate Value
Chapter 10 & 11: Deploying with Confidence - From MLOps to Responsible AI
Chapter 12: Paving Your Path - How to Build Your AI PM Career
