How to Start With AI When You've Already Decided It's Too Hard (13 Year Google Veteran POV) - w/ Aishwarya

Thirteen years at Google. Trust and Safety in Hyderabad first, then the Bay Area, then most of the back half inside YouTube — finance, then analytics, then managing YouTube inventory and monetization. Then Aishwarya Raghavan quit. No job lined up. Two months later a friend referred her to a company she actually wanted. She didn't get it. That rejection landed right as the layoff headlines were peaking, and that's where this conversation starts. Most advice about the AI job market in 2026 is built to make you feel behind. Aishwarya's take goes the other way. She says a lot of postings that say "AI skills required" mean something far more basic than you'd guess. The people who never start are usually the ones who jumped straight to AI agents, decided it was too hard, and quit before level one. (If that's you, no judgment. It was most of us.) So she walks through four levels anyone can climb. Level one is small enough to feel silly: getting ChatGPT to stop sounding like a stranger. Custom GPTs come later. Agent orchestration comes after that. Is that really enough to get hired in AI? Her answer is more specific than yes. We also get into why she couldn't just move into AI work internally at Google, even with the badge and the tenure. How to read a job description and tell whether a company has actually thought about AI or is checking a box. And the interview skill she rates above every technical signal. Fair warning — it has more to do with storytelling than with reciting the STAR method at a hiring manager. Then there's the networking habit she regrets not building while she still had the Google email. Nobody tells you that your network has an expiration date. She's now a principal product manager at Arrivia, wiring AI into a travel business full of legacy systems. Different problem entirely from YouTube creator monetization, and she's candid about what transferred and what didn't. If you're a student, or a few years into your career and quietly worried the market already moved past you, start here. Chapters below. If this helped, subscribe on YouTube and Spotify. 🎧 00:00 - Aishwarya Raghavan on Leaving Google After 13 Years 04:12 - How AI Is Changing Big Tech and Product Management 07:14 - Product Manager Job Search Advice in a Tough Tech Market 10:09 - Product Interview Storytelling: How to Stand Out as a PM 13:24 - Why Product, Engineering, and Strategy Roles Are Blending 16:10 - Best AI Tools and Workflows for Product Managers 19:08 - AI Agents and Agent Orchestration: The Next PM Skill 22:03 - Job Search Lessons After Leaving Google 25:17 - Travel Tech and AI: Modernizing Legacy Product Workflows 30:45 - YouTube Monetization, Creator Tools, and AI Product Strategy 35:59 - Networking Without an Agenda for Big Tech Career Growth 40:23 - Final Advice for PMs Building Rare AI Skills