This document summarizes how to be an AI product manager according to a Facebook AI leader. It discusses the role of an AI product manager in envisioning and realizing impactful AI solutions. It outlines different types of AI product managers and how AI product management differs from traditional product management due to the probabilistic nature of AI software development. It provides practical skills for AI product managers, including understanding the AI lifecycle and ensuring responsible, transparent, accountable, ethical and reliable AI. It advises how to identify the right problems, align on the right metrics, foster an experimental culture, and tips for succeeding as an AI product manager.

1. www.productschool.com
How to Be an AI Product Manager
by Facebook AI Product Leader

2. CERTIFICATES
Your Product Management Certificate Path
Product Leadership
Certificate™
Full Stack Product
Management Certificate™
Product Management
Certificate™

3. Corporate
Training
Level up your team’s Product
Management skills

4. Free Product Management Resources
BOOKS
EVENTS
JOB PORTAL
COMMUNITIES
bit.ly/product_resources
COURSES

5. How to be an AI
Product Manager
Natalia Burina
AI Product Leader
Facebook

6. Soon Every PM Will be an AI PM

7. The Role of an
AI Product
Manager
01

8. What does an AI Product Manager Do?
Envision and Realize Impactful AI Solutions for a Company’s Most
Important Business Problems
1) Understand What are the most important business problems that AI
can solve
2) Identify Prioritize the right set of problems and develop a vision,
strategy and roadmap
3) Execute Make it happen!

9. Types of AI Product Managers
● Product Works on AI to supercharge specific products (i.e. AI for ads, self
driving cars, web search, etc.)
● Platform Works on AI developer tools and infrastructure
● Research Works with AI Researchers to bring research breakthroughs to
production
● Responsible AI Ensures that AI is fair, private, robust, explainable and that
there is accountability to people who use it.

10. How is
AI Product Management
Different?
02

11. AI Software Development
is Probabilistic

12. Practical Skills for
AI Product
Managers
03

13. AI Lifecycle
1. DATA & TRAINING
5. MONITOR & OPTIMIZE
2. DESIGN & DEVELOP
4. APPROVE & DEPLOY
3. VALIDATION & TESTING
AI Lifecycle

14. With Great Power Comes
Great Responsibility

15. Areas for Responsible AI Development
Transparent
● Visibility
● Insights
● Why behind decisions
Accountable
● Checks & balances
● Validation & compliance
● Human oversight
Ethical
● Fairness
● Bias checks
● Inclusive
● Data integrity
Reliable
● Continuous
high-performance
● Detect model decay
● Detect data issues
Private & Secure
● Preserves people’s privacy
● Secure against attacks

16. How to
Succeed
04

17. Identify the Right Problems
● People Understand what problems the product solves for people who use it
● Business Internalize business objectives
● Technology Understand what AI can and can’t do
● Responsibility Understand potential harms

18. Align on and Track the Right Metrics

19. Foster an
Experimental Culture

20. #PMProtips
● Telling a Good Story is Everything Having and telling a
good story is the most important thing you do as a leader.
● Execution Have a written plan for each half beginning of
the half, share with leadership & colleagues
● Starting a New Job Use Boz’s Cold Start Algorithm

21. @nale

22. www.productschool.com
Part-time Product Management Training Courses
and
Corporate Training