Episode Details

AI agent PM roles are the fastest-growing, highest-paid positions in tech. These jobs pay $750K+ (TC in SF/NY) and are growing 2-3x faster than traditional PM roles.

But most people don't know how to actually build AI agents. They think it's just ChatGPT with a fancy interface.

Today I sat down with Mahesh Yadav, who's worked as a PM at Meta, Amazon, Microsoft, and Google. He's built AI agents at scale for 8+ years and now teaches hundreds of PMs at top companies.

He breaks down the exact playbook: how to build agents, the 18-month roadmap to $750K+ roles, and what FAANG companies look for in vibe coding interviews.

If you want to learn to build AI agents, this is your blueprint.

Check out the conversation on Apple, Spotify and YouTube.

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* Amplitude: The market-leader in product analytics

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Timestamps

00:00 - Introduction & Overview

01:40 - What Makes an AI Agent PM

02:37 - Building the Backend Agent

16:32 - Creating the Frontend with V0

25:27 - What Defines an AI Agent vs AI Product

30:15 - AI PM Interview Requirements

34:08 - Cart Before the Horse Development

37:15 - Breaking into FAANG: Mahesh's Story

42:17 - Internal Transfer Strategy

50:40 - Comparing Microsoft vs Amazon vs Meta vs Google

54:28 - AI Agent PM Job Market & Salary Data

57:26 - Can Anyone Become an AI PM?

59:14 - 18-Month Roadmap to AI PM

1:05:01 - AI Agents for Regular PMs

1:08:47 - Business of Mahesh & Course Success

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10 Steps to a $750K+ AI Agents Job:

1. Build First (Not Study)

The biggest mistake aspiring AI PMs make is spending months reading about AI instead of building. Companies like Google aren't looking for people who know frameworks—they want builders who have actually shipped AI products. Start with tools like Langflow for no-code backends and V0 for frontends.

2. Master AI Fundamentals

You need to know how models work, how data contributes to these models, and how to evaluate agent performance. Can you make smart choices between different models? Do you understand how these models are built and how to interact with them? This knowledge separates real AI PMs from pretenders.

3. Show Scale Experience

FAANG companies desperately need people who have seen one major te