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Product Sense in the Age of AI: What Changes, What Doesn't
Hosted by Mahesh Yadav and Nancy Chu
Learn directly from Mahesh Yadav and Nancy Chu
Go deeper with a course

3,301 students
Go deeper with a course

What you'll learn
Why AI breaks shallow framework answers
What blue-sky questions actually test
Capabilities vs pain points in AI interviews
Mapping AI ideas to human needs
Why this topic matters
You'll learn from
Mahesh Yadav
Ex-GenAI Product Lead at MAANG Firms l AI PM Coach l 10k+ Alumni
Mahesh has 20 years of experience in building products at Google, Meta, Microsoft, and AWS AI teams. Mahesh has worked in all layers of the AI stack, from AI chips to LLM and has a deep understanding of how using AI agents companies ship value to customers. His work on AI has been featured at the Nvidia GTC conference, Microsoft Build, and Meta blogs:
His mentorship has helped various students build real-time products & careers in the Agentic AI PM space.
Whether you're a hobbyist or a professional looking to get a grasp on GenAI Product Management, feel free to join our channels for more such sessions
- Join our Substack
- Join our Linkedin Community of AI PMs
- Follow our YouTube page for all our sessions.
Nancy Chu
Product Leader | Founder ThinkAI
Nancy Chu is a seasoned product and leadership coach who helps senior product leaders (L6-L9) land high-impact roles at top tech companies with bigger compensation, stronger presence, and deeper strategic thinking. She focuses on developing executive communication, storytelling, and judgment, not just interview hacks, helping clients articulate decisions with clarity and depth. Nancy blends product sense, leadership development, and mindset work to strengthen thinking under pressure and career outcomes.
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