Elizabeth Stone: evaluation

Transcript context

…Following the thread a little bit, I know you all added career ladders and levels. Recently, it was a new thing. You used to not have these things. So, on that thread, what have you added to the career ladders within this AI world, if anything, that you find you want people to lean into more, you're looking to more or not? Did you not change your career ladders and performance criteria? So, the way we've approached this so far is, instead of trying to articulate at each level exactly how AI changes those expectations, to instead put an overlay across all of the talent at Netflix, people on the team and those who are hiring, to talk about an aspiration for AI fluency. And what that looks like is going to vary by function. It's going to vary based on where you are in your career. That could be what level you're in or what type of role or persona work you're doing. But the aspiration for AI fluency, which is a tough thing to define. So, does it mean that I have an experimentation mindset? Does it mean that I know where AI is useful and not useful? Does it mean that I've actually built things using AI? I feel like the way that has shown up in career ladders and how we talk about it evolves almost by the quarter, if not month or day, because the tech itself is advancing so much. So, the most useful thing is not to make it level specific or role specific, but to encourage everyone towards the expectation on AI fluency, which doesn't mean use it as a tech for the sake of tech. It's tech where it's useful, to have good judgment about that and to have the mindset to be open-minded to explore and try new things, that's the non-negotiable for all roles. And that's true at the senior most levels of Netflix, where we talk about we too need to have deep fluency in AI, even if we're not writing code as part of our day jobs. So, that's changed. And then that's showing up in our hiring practices as well, getting comfortable within interviews, exploring how are people thinking about AI or technology. What are they using in their day-to-day or their current job? How comfortable are they with change and exploration? And even for things like coding interviews, allowing candidates, of course, to use AI tools, because that's going to be part of what the work requires now. So, those have been shifts that we've made, but I doubt it's a shift that's done versus we're right in the middle of it. I'm just going to keep following this thread. Obviously, AI is transformative for coding. It's a big unlock for prototyping. Are there other use cases of AI at Netflix that have been really impactful, that people may not think about or not realize?…

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