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Crack AI Product Interviews: The 3-Part Playbook
A 3-session interview prep series designed for modern AI roles. Learn how to position your resume, crack AI case studies, and handle agentic/system design interviews. Built for PMs aiming to convert interviews into real offers.
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Fri Feb 6·5:00 PM UTC
How AI PM Interviews Actually Work in 2026
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-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni
Fri Feb 13·5:00 PM UTC
Concepts to Copilots: How PMs Build Real Agentic AI Systems
Agentic AI is moving from research to real products in 2026. PMs are now expected to design systems that plan, act, and coordinate autonomously. This lesson helps you move from abstract concepts to practical system thinking—so you can confidently design, evaluate, and ship agentic AI products without needing to be an engineer.
You'll learn from
Mahesh Yadav
Ex-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni
Fri Feb 20·5:00 PM UTC
Product Sense in the Age of AI: What Changes, What Doesn't
AI hasn’t changed product sense—but it has removed places to hide. In 2026, shallow frameworks and surface-level answers collapse fast. PMs who can reason deeply, connect AI capabilities to real human needs, and defend decisions under ambiguity stand out. This session helps you build that judgment and stay interview-relevant as AI reshapes product roles.
You'll learn from
Mahesh Yadav
Ex-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni
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Nancy Chu
Product Leader | Founder ThinkAI
Fri Feb 27·5:00 PM UTC
You Can’t Patch a Brain: Basic Challenges of AI Security
As AI agents gain autonomy, weak guardrails turn small prompt hacks into serious security and safety risks. Understanding why traditional defenses fail—and how to design systems that separate control from untrusted data—helps you build safer AI by design. This lesson grows you from tool-user to systems thinker, capable of evaluating real-world risk in agentic AI products.
You'll learn from
Mahesh Yadav
Ex-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni
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Dominique Wimmer
Product @NYC OTI, Ex-Meta/Google, AI | Safety | Security