Aakash Gupta: The complete AI PM masterclass for 2026 with Jyothi Nookula

This episode of Aakash Gupta’s AI product management YouTube channel features Jyothi Nookula, former Director of AI Product Management at Netflix. Nookula also held product roles at Meta and Amazon, holds 12 patents in AI, and spent over 13 years in the field before leaving Netflix to focus on teaching and consulting on AI strategy. The conversation was published on March 23, 2026.

Who it is for

The episode is aimed at product managers who want to understand what the AIPM role actually involves, how it differs across companies, and what technical knowledge is genuinely necessary versus what is optional. It is equally useful for PMs considering a move into AI-focused roles and those already working on AI products who want to pressure-test their existing mental model.

Key takeaways

1. Most AI PM roles are not fully AI-native. Nookula explains that roughly 80 percent of roles currently labelled “AI PM” are traditional PM jobs with AI features added on, where the PM leads LLM capability work and incorporates AI into an existing product. Fully AI-native roles — where the core product is an AI system — make up the minority.

2. The AIPM stack has three layers. Application PMs account for about 60 percent of AI PM roles and work on user-facing products powered by AI. Platform PMs, who build the infrastructure and tools that other product teams use, account for around 30 percent. Infrastructure PMs, who work on the underlying compute and model layer, represent about 10 percent.

3. Understanding when to use AI matters more than knowing how to code. Nookula emphasizes that a PM’s primary job is knowing when a problem genuinely calls for an AI solution, not building the solution itself. This means understanding the capabilities and failure modes of different AI techniques well enough to make that judgment.

4. RAG and agents are the concepts PMs most need to understand. The episode covers retrieval-augmented generation and AI agents in practical terms — what they make possible, where they break down, and how to evaluate whether your team’s implementation is working as intended.

5. Portfolio projects matter more than certifications for breaking in. Nookula’s career roadmap advice prioritizes building things with AI over collecting credentials. Hands-on projects that demonstrate real product thinking — not just technical implementation — are what hiring teams at companies like Netflix actually evaluate.

Worth watching if…

You are a PM who needs to evaluate whether a product opportunity calls for AI, or you are preparing for AI PM interviews and want to understand what different companies mean when they use that title. Nookula’s experience across Amazon, Meta, and Netflix gives her comparison of organizational cultures a level of specificity that is difficult to find in most public content on this topic.