

Elizabeth Stone
Chief Technology Officer at Netflix with a background leading data and insights; experienced in building large-scale media, encoding, and production systems and driving engineering culture.
Top 3 podcasts with Elizabeth Stone
Ranked by the Snipd community

542 snips
Feb 22, 2024 • 1h 14min
How Netflix builds a culture of excellence | Elizabeth Stone (CTO)
Elizabeth Stone, the Chief Technology Officer at Netflix, shares her journey from VP of Data to CTO, revealing the challenges and excitement of her new role. She discusses Netflix's unique high-performance culture, emphasizing the importance of high talent density and the 'keeper's test' for team dynamics. Elizabeth highlights how economics informs decision-making and the balance between excellence and team well-being. With insights on fostering open communication, she champions an environment of freedom and responsibility that drives innovation and builds trust.

520 snips
Nov 12, 2025 • 60min
Netflix’s Engineering Culture
In this conversation with Elizabeth Stone, CTO of Netflix and former VP of Science at Lyft, listeners gain a behind-the-scenes look at the engineering culture of one of the largest streaming platforms. Elizabeth discusses the concept of being 'unusually responsible' within teams and shares how Netflix fosters autonomy while maintaining critical guardrails. She elaborates on the challenges of streaming at scale, the innovative use of Gen AI in engineering, and the importance of continuous feedback in building a high-performance culture.

14 snips
Dec 23, 2025 • 43min
BIG INTV: CTO Elizabeth Stone On The Future of Netflix: “Personalized, Interactive, Immersive”
Elizabeth Stone, the Chief Technology Officer of Netflix, shares her unique journey from a PhD in economics to leading tech innovations at the streaming giant. She delves into the importance of failure and genuine curiosity in tech. Discussing Netflix's future, she envisions a landscape rich in personalization and interactive experiences. Stone also reflects on the balance of data and intuition in content decisions, the challenges of scaling live programming, and the role of AI as a supportive tool for creators, not a replacement.


