You're reading from AI Product Manager's Handbook Build, integrate, scale, and optimize products to grow as an AI product manager

Product type Paperback

Published in Nov 2024

Publisher Packt

ISBN-13 9781835882849

Length 484 pages

Edition 2nd Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Irene Bratsis

View More author details

Table of Contents (26) Chapters

Preface

1. Part 1: Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well

2. Understanding the Infrastructure and Tools for Building AI Products FREE CHAPTER

3. Model Development and Maintenance for AI Products

4. Deep Learning Deep Dive

5. Commercializing AI Products

6. AI Transformation and Its Impact on Product Management

7. Part 2: Building an AI-Native Product

8. Understanding the AI-Native Product

9. Productizing the ML Service

10. Customization for Verticals, Customers, and Peer Groups

11. Product Design for the AI-Native Product

12. Benchmarking Performance, Growth Hacking, and Cost

13. Managing the AI-Native Product

14. Part 3: Integrating AI into Existing Traditional Software Products

15. The Rising Tide of AI

16. Trends and Insights Across Industry

17. Evolving Products into AI Products

18. The Role of AI Product Design

19. Managing the Evolving AI Product

20. Part 4: Managing the AI PM Career

21. Starting a Career as an AI PM

22. What Does It Mean to Be a Good AI PM?

23. Maturing and Growing as an AI PM

24. Other Books You May Enjoy

25. Index

A job family of many hats

In this section, we will explore the many practical stressors and expectations of an AI PM based on the competencies we introduced in Chapter 17: technical proficiency, business acumen, communication, leadership, and problem solving. I will be using an umbrella for each of these five competencies to keep this section digestible, but you’ll notice a long list of hats under each one. We can think of each competency as a concentration of skills and responsibilities and not just as standalone skills. Let’s get started!

Remember that listing these competencies isn’t about promoting excellence in each one, but rather is being done to demonstrate the full range of skill sets and competencies you can explore as you grow and mature into your AI PM career.