About this episode
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.----Brought to you by:* Maven: Get $100 off my curation of their top courses with code ‘AAKASH550C7’* Miro: The innovation workspace is your team’s new canvas* Kameleoon: Leading AI experimentation platform* The AI Evals Course for PMs & Engineers: Get $1155 off with code ‘ag-evals’* Amplitude: The market-leader in product analytics----Timestamps00:00 - Introduction & Overview01:40 - What Makes an AI Agent PM02:37 - Building the Backend Agent16:32 - Creating the Frontend with V025:27 - What Defines an AI Agent vs AI Product30:15 - AI PM Interview Requirements34:08 - Cart Before the Horse Development37:15 - Breaking into FAANG: Mahesh's Story42:17 - Internal Transfer Strategy50:40 - Comparing Microsoft vs Amazon vs Meta vs Google54:28 - AI Agent PM Job Market & Salary Data57:26 - Can
