Building AI-Native Products

How AI PMs Slice Open Great AI Products

Hosted by Tal Raviv and Aman Khan

3,567 students

What you'll learn

Live demos that reveal the 'how' behind great AI products

We'll screenshare AI use cases in PM work, then deconstruct the mechanisms that make them magical (or frustrating).

Turn personal AI usage into scalable product insights

Learn how using AI at work as a PM makes you better at building great AI products (and how to bridge the gap).

Identify what makes AI experiences exceptional vs. mediocre

Recognize the building patterns that deliver magical experiences.

Develop an AI product sense that can't be commoditized

Build the rare skill of understanding AI from both sides, a stand-out advantage that grows with time.

Extended open Q&A by +30 minutes

We've added a half hour beyond the calendar invite to answer all your questions about 1) AI at work and 2) AI at scale

Why this topic matters

There's two kinds of PMs in 2025: those who have built great AI products, and those who haven't (yet). Together we'll flip the script with live demos that turn personal AI usage patterns into exceptional product experiences. As tech orgs flatten, the most valuable PMs will be those who move fluidly between AI power users and perceptive AI builders.

You'll learn from

Tal Raviv

Gen AI PM, early @ Patreon, Riverside, Wix, AppsFlyer, DuckDuckGo, 17K+ students

Hey đź‘‹ I'm Tal. I've been a hands-on product manager & technical founder for 15+ years at hypergrowth companies, always among the first PMs. Most recently I was the first PM at Riverside, leading an AI product used by Mark Zuckerberg, Michelle Obama, and Bill Gates.

Aman Khan

AI PM (Player + Coach) with ~10 years of hands-on product experience

Aman is Director of Product at Arize AI, an Observability and Eval company for AI PMs and Engineers at companies like Uber, Reddit and Duolingo. Over his career, he has focused on building technical products at companies like Spotify, Apple, Cruise and Zipline.


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