About

I’m Clarence Leung, an engineering leader on the Growth Engineering team at Netflix. I lead the Payments and Partnerships organization — three teams covering global digital payment methods, third-party bundle activations, and the sandbox infrastructure external partners use to test their integrations with us. It’s the plumbing behind how hundreds of millions of people pay for Netflix, which is exactly as unglamorous and as consequential as it sounds.

Most of my career has been spent on consumer growth and A/B testing. Before payments, I spent five years leading Monetization and Commerce Lifecycle: acquisition, retention, and member commerce. I was the engineering manager lead on two of Netflix’s largest-scale projects — Account Sharing, and the Offers Platform that powers things like Free Trial — both of which meant coordinating UI, backend, data, and machine learning engineers who did not start out speaking the same language.

The work I’m proudest of is quieter than either of those. Four engineers I coached as ICs went on to become full engineering managers on other teams. That’s the scoreboard I actually check.

Lately I’ve been setting AI strategy for my org: using LLMs to automate the A/B testing lifecycle, and agents and Claude skills to improve operational excellence and production on-call for critical P0 services and data pipelines.

I got here by a slightly crooked route. I started at Yahoo in 2013 as a core committer on the YUI Library and Yahoo’s open-source Node libraries, and as a mobile UI engineer on the Multi-Device UX team. I joined Netflix in 2015 doing UI engineering on the cross-platform Acquisition team — mobile, internationalization, and A/B testing, across the website in React and Node and the native iOS and Android apps. Then I left for two years to co-found Aroma AI, a computer vision startup building image segmentation SDKs for camera and video applications, where I ran product, engineering, and sales across a fully remote team. I came back to Netflix in 2020.

Before all of that I studied computer science and biology at McGill University. The two overlapped more than you’d expect: I co-authored a paper in PLOS One on Phylo, a puzzle game that crowdsourced multiple sequence alignment from players who mostly had no idea they were doing bioinformatics.

The best way to reach me is hello@clarence.fyi. I’m also on GitHub, LinkedIn, X, and Bluesky.