Elizabeth Stone

Elizabeth Stone is CTO of Netflix and formerly VP of Data and Insights. She is believed to be the first trained economist to serve as CTO of a Fortune 500 company. Their core argument: Apply the keeper test daily -- but only after building a foundation of continuous candid feedback. The evidence is specific: Netflix does not have traditional performance reviews -- instead they run an annual 360 feedback cycle purely for learning, not tied to compensation or ratings. Furthermore, direct reports regularly ask their managers 'Am I passing your keeper test?' -- the concept has become a routine part of one-on-one conversations. In Elizabeth Stone's own words: "If I'm asking myself the question, 'If this person on my team came to me and said, I'm leaving today, would I do everything I could to keep them at Netflix?' If not, then I should be having that tough conversation about, 'Should you really be here? Are you in the right role?'" (Explaining the Netflix keeper test.)

Elizabeth Stone is the CTO of Netflix, where she led the introduction of IC levels after the company operated without them for years -- giving her the rare perspective of someone who ran the experiment, saw both its strengths and limits, and can speak to the trade-offs from direct experience. Their core argument: Netflix ran without IC levels for years and produced excellent work -- proving that elaborate career ladders are more about market signaling and psychological comfort than organizational effectiveness. But scale eventually demanded structure. The evidence is specific: Netflix operating without IC levels for years, producing innovations in content delivery, encoding, and personalization. Furthermore, the 'tumble dry machine' transition when levels were introduced: months of cultural rollercoaster. The retro on IC levels: Stone publicly admitted the change 'hasn't all gone perfectly' -- a demonstration of Netflix's candor culture. In Elizabeth Stone's own words: "Until two years ago, individual contributors didn't have levels at Netflix. So all engineers were just senior engineers, all data scientists were senior data scientists, and we did not have a leveling system." (Revealing Netflix's radical flat IC structure that lasted for years.)

CTO of Netflix and likely the first economist to hold a CTO role at a Fortune 500 company; previously VP of Data and Insights at Netflix, VP of Science at Lyft, COO at Nuna Their core argument: Candor requires the foundation of talent density -- safety comes from knowing your teammates are excellent and want you to improve. The evidence is specific: Netflix 360 feedback cycle: untethered from ratings, compensation, or performance reviews. Furthermore, stone jumping into documents to help her reports improve, rather than just critiquing from above. Delivering feedback in private after a meeting rather than on stage, to create a safer space. In Elizabeth Stone's own words: "We can't really have any of the other aspects of the culture, including candor, learning, seeking excellence in improvement, freedom and responsibility if you don't start with high talent density." (Why talent density must come first in the Netflix cultural hierarchy.)

As CTO of the company that literally wrote the culture deck on talent density, Stone has operated inside this system for years -- first as VP of Data and Insights, then as the first economist ever named CTO of a Fortune 500 company. Their core argument: High talent density is the foundation everything else depends on. The evidence is specific: Netflix pays 'personal top of market' compensation rather than using equity as golden handcuffs. Furthermore, annual 360 feedback cycle generates approximately 300 pieces of feedback per person -- not tied to ratings. Reed Hastings' founding philosophy that excellence and fulfillment are self-reinforcing shaped Netflix from day one. In Elizabeth Stone's own words: "We can't really have any of the other aspects of the culture, including candor, learning, seeking excellence and improvement, freedom and responsibility if you don't start with high talent density. And in some ways it's not the end, it's the means to the end." (Why talent density is foundational at Netflix.)