The Future of AI Product Management with Digvijay Singh (YouTube Ads)

AI has been around for a while now but the PM role within it is evolving faster than ever. In this episode, Digvijay Singh, Senior Product Manager at YouTube Ads, joins Rina Alexin to unpack the three layers of AI Product Management: infrastructure, models, and applications. From writing evals to training “intern” models, Digvijay reveals how PMs can stay relevant, build better AI intuition, and turn machine learning into meaningful product outcomes.

Key Topics Discussed in This Episode

The Three Layers of AI PM

How product management splits across infrastructure, model, and application layers—and what each one demands from PMs today.

The Power of Evals

Why writing evals is the new success metric for AI PMs—and how it helps teams reduce hallucinations and clarify goals.

Product Intuition in the AI Era

How “playing” with AI tools builds better intuition, sharper judgment, and stronger PM instincts in a rapidly changing space.

Why Listen to This Episode?

In this episode, you’ll get:

A clear framework for navigating the three tiers of AI Product Management.

Practical advice for PMs transitioning into AI-focused roles.

Real-world examples from Digvijay’s work at YouTube Ads and Google.

Tips on developing product intuition by experimenting with AI tools.

Whether you’re building LLM-powered apps or just learning to manage your “AI intern,” this episode will help you stay one step ahead.

Related Resources

Check out these additional tools and resources to add to your PM belt:

Productside Resource Library

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