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Peak Velocity

The Statsig Blog. Peak Velocity covers the latest in feature management, experimentation, analytics, and more

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Jason Wang

Software Engineer, Statsig

Jason Wang is a versatile Software Engineer with a comprehensive background spanning infrastructure, cloud services, DevOps, and security. At IBM, he developed REST APIs and integrated DCIM tools into J2EE frameworks, laying the groundwork for his expertise in software engineering. At Red Hat, Jason emerged as a technical leader, steering a scrum team to develop a rules engine application for a major healthcare insurance provider, showcasing his ability to handle complex, large-scale projects.

His tenure at Google further expanded his skill set, where he contributed to Anthos Service Mesh Lifecycle Management and the Istio UX Working Group, focusing on integrating Compute Engine virtual machines into Anthos Service Mesh.

Since joining Statsig in Bellevue, Washington, Jason has been instrumental in nearly all areas of infrastructure. He aims to provide a globally distributed, low-latency, and highly reliable service. Jason's career reflects a deep commitment to creating efficient, scalable, and secure software solutions.

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OpenAI OpenAI
Brex Brex
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Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
CPO
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
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