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Cracking System Design Interviews as AI PMs

Hosted by Mahesh Yadav

Fri, Jan 9, 2026

5:00 PM UTC (45 minutes)

Virtual (Zoom)

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5,574 students

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

How to Think in Systems

Learn to structure any system prompt into components, flows, constraints, and clear decisions.

Designing AI-Powered Architectures

Master how to design AI systems end-to-end and explain the reasoning behind every module.

Communicating Trade-Offs

Confidently discuss scalability, cost, latency, and accuracy to show real-world product judgment.

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.

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

Previously at

Google
Meta
Microsoft
Amazon Web Services

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