Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)

About this episode

Elizabeth Stone is the Chief Product and Technology Officer (CPTO) at Netflix, where she oversees Engineering, Product, and Design. Since her first appearance on the podcast two years ago—which remained my second-most-popular episode for more than a year—she has expanded her role to lead product, in addition to engineering. Before Netflix, Elizabeth was VP of Science at Lyft, Chief Operating Officer at Nuna, an economist at Analysis Group, and a trader at Merrill Lynch. In our in-depth conversation, we discuss: 1. Why “systems thinking” is now the most important skill she looks for 2. How to manage the flood of AI-generated output without losing quality or signal 3. How Netflix thinks about AI fluency as a universal expectation rather than a level-specific skill 4. What “excellence as an operating system” means — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-t