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Full Roadmap: Become an AI PM in 2025 | Ankit Shukla, HelloPM Founder
If this 80 minutes podcast doesn't make you an AI PM, I'll delete my channel!
Yes, I know what I just said. But this is too good!
You’ll learn:
- How to become an AI PM without any tech experience
- 2 main categories of AI PMs and how to break into each
- How to build great AI products your users love
- All concepts like Evals, RAG, MCP, etc
- Creating AI PM portfolio
And so much more
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Brought to you by:
The AI Evals Course for PMs & Engineers: You get $800 with this link
Maven: Get $100 off my curation of their top courses
AI PM Certification: Get $500 with code AAKASH25
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Timestamps:
Two Types of PMs in the World Right Now – 00:00:00
How Much AI PMs Make in the US & India – 00:01:49
Why Jobs Aren’t Marketed as “AI PM” Roles – 00:04:19
Live Slide Share Session Begins (AI PDLC) – 00:05:35
What People Get Wrong About AI PM Jobs – 00:08:51
Why AI Product Management Is Here to Stay – 00:11:00
Product Development Lifecycle Explained – 00:12:35
Ad 1: AI Evaluations – 00:14:47
Ad 2: Maven Courses – 00:15:46
Understanding PM Canals (Idea Sources) – 00:16:34
How AI Will Transform the Traditional Product Cycle – 00:18:55
The Two Branches of AI: Predictive vs Generative – 00:23:10
Diving Deeper into Generative AI – 00:27:17
Ad 3: AI PM Certification – 00:28:47
How to Build Your Own AI Use Case Database – 00:29:34
Why You Shouldn’t Use AI for Everything – 00:34:10
Understanding Problem Space vs Solution Space – 00:36:51
Most Common Mistake People Make Entering AI PM – 00:40:49
The Building Blocks of AI – 00:47:01
Contextualization (Prompts, Fine-Tuning, RAG) – 00:50:24
The Limitations of AI — Why You Still Need Evals – 00:56:18
Case Study: AI-First Job Search Website – 00:58:49
Prompt Engineering Breakdown for the Case Study – 01:02:09
Understanding and Leveraging AI Agents – 01:03:40
Introducing the MCP Framework – 01:08:07
How to Build Your AI PM Portfolio – 01:11:37
Your Next 7 Steps to Becoming an AI PM – 01:16:04
Closing Thoughts and Final Notes – 01:18:41
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Key Takeaways:
Takeaways:
01. Stop Shipping Blind. Your AI product isn't truly valuable until you validate it. Go beyond just building; understand user needs deeply with personas, journey maps, and jobs-to-be-done.
02. MOM Test = Your Secret Weapon. The "MOM Test" is about asking questions that even your most supportive friend can't lie about. Don't ask if users "would" use your AI. Ask about their past behaviors and real problems. This helps you define success metrics and avoid building a fancy toy nobody needs.
03. Evaluate Everything, Relentlessly. AI Evals are not just a technical task for engineers, but the most critical tool for Product Managers to build high-quality, trustworthy AI products. Use them to understand, refine, and continuously improve your AI.
04. Passion Won't Land the Job. Proof Will. "I'm passionate"...great I guess, but recruiters want to see what you've done. Your portfolio is your direct line to showing you can actually do the job.
05. Build Your AI Portfolio. Now. Don't wait for experience. Create product teardowns of AI tools, develop case studies, or launch small side projects. This is your living, breathing proof of thinking and skill.
06. Forget the Resume. Add Value. The ultimate job hack? Id
Published on 1 month, 2 weeks ago