Cracking System Design Interviews as AI PMs

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Cracking System Design Interviews as AI PMs

Hosted by Mahesh Yadav

5,914 students

In this video

What you'll learn

Why AI PM interviews more technical than normal PM loops

Engineers, researchers & designers expect PMs to identify realistic AI opportunities in their domain- not vague ideas.

How PMs are judged for AI technical skills

AI PM “are NOT” judged in ability to code, build scalable and security aware architectures or research capabilities.

How to handle AI-specific system design questions

Design a system for a new problem, suggest improvements in a simple design pattern & explain your last project.

Why this topic matters

System design interviews have become the ultimate filter for senior AI PM roles. Hiring managers want to see if you can think end-to-end — data, models, infra, trade-offs, and real user impact. Without strong system design clarity, even experienced PMs struggle to justify decisions in AI-heavy products. Cracking this is what separates PMs who talk AI from PMs who can design AI at scale.

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.

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