Free Lesson

Inside Real MAANG AI Product Sense Interviews

Hosted by Mahesh Yadav

Fri, Jun 19, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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Agentic AI Product Management Certification using Claude Code
Mahesh Yadav
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What you'll learn

What interviewers test beyond AI knowledge

You’ll learn the hidden signals interviewers evaluate beyond models, tools, and AI terminology.

What’s changed since 2024–25 interviews

You’ll see how AI PM interviews evolved in 2026 and what candidates must do differently now.

Why PMs fail AI system design rounds

You’ll understand the most common failure patterns in AI system interviews and how to avoid them.

How PM judgment is tested under pressure

You’ll learn how interviewers probe tradeoffs, sequencing, and ownership through follow-up questions.

Why this topic matters

AI PM interviews in 2026 reward judgment over knowledge. As AI execution gets easier, interviewers focus on how PMs think, decide, and adapt under pressure. This lesson helps you recalibrate your preparation to today’s interview reality—so you move from sounding prepared to looking hire-ready for AI PM roles.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Amazon Web Services
Meta
Microsoft
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