Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone

Everyone can be everything now. Engineers can product, and there's this confusion and frustration of what is my job anymore. Any time a new technology comes along. You go through a storming phase before you go through the forming phase of things. We are in the middle of that right now. I don't think that means we should put AI back into the box and say let's not use it. If we all become builders, will we still need separate functions. I still see a craft excellence that's really important that I don't think is going away any time soon. I I still find great engineering to be scarce, great data science to be scarce, great creativity to be scarce. If you look at the early culture deck of Netflix, high agency autonomy, paying top of market. This is what I hear constantly now from how the top AI labs operate. Netflix's culture has always been excellence as an operating system. It's a resistance to do the thing that a lot of bigger companies would do and to feel comfortable in that discomfort very often. What are the ingredients to make this happen? Talent density is the non-negotiable, being very comfortable with Risk taking in cases where things are not going well, not assume that process is gonna fix it. What have you added to the career ladders with in this AI world? We need more systems thinkers, people who can look across.

All the business domains and abstract that to here's the building blocks we're gonna need. How do people learn this? Small trick. Each problem you're trying to solve, step out one click to the what am I assuming is true about the broader space. Today my guest is Elizabeth Stone, product and technology officer at Netflix. This is Elizabeth's second visit to the podcast. Her first visit when she was just the CTO was, for the longest time, one of the most popular episodes of this podcast. You'll soon see why. This is such a killer conversation, because when we chatted two and a half years ago, AI was only starting to emerge. And as a longtime head of engineering and product and data science, Elizabeth has such a unique perspective on where things are heading and what's worth paying attention to. Part to Netflix, Elizabeth was VP of Science at Lyft, Chief Operating Officer at NUNA, an economist at the Analysis Group, and a trader at Merrill Lynch. Before we get into it, don't forget to check out Lenny'sProductPast.com.

For an entire year free of the hottest and best crafted AI products in the world, available exclusively to Lanny's newsletter subscribers. With that, I bring you Elizabeth Stone. Mm. Elizabeth Thank you so much for being here. Welcome back to the podcast.

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