Josh Newlan

Research Program Manager at OpenAI

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Josh Newlan is a Research Program Manager based in San Francisco with 12 years of experience orchestrating technical programs at the intersection of research and product, most recently scaling training infrastructure at OpenAI after leading ML research programs at Google DeepMind. He has a strong TPM background across serverless and cloud platforms from Google and a track record of shipping automation, data-driven program management, and developer-facing tooling. Comfortable writing code and contributing to back-end projects (e.g., speech-to-text integration work on his say_what repo), he blends hands-on engineering with program-level planning. Josh’s early career spans web development, international project management in China, and even running a local surfing museum—evidence of curiosity and cross-cultural communication skills. A language learner with academic grounding in Classics and Chinese, he brings an unusual mix of humanities-trained critical thinking and technical delivery discipline. Colleagues know him for translating research needs into scalable execution while still diving into scripts and integrations when needed.
code12 years of coding experience
job17 years of employment as a software developer
bookUniversity of California Santa Cruz
bookChinese Language and Literature, Chinese Language and Literature at Shanghai Jiao Tong University
languagesEnglish, Chinese, German
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Github Skills (7)

python10
http-request10
api9
apim9
json8
splunk6
thread5

Programming languages (1)

Python

Github contributions (5)

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joshnewlan/say_what

May 2016 - May 2016

Using speech-to-text to fully check out during con calls
Role in this project:
userBack-end Developer
Contributions:11 commits, 2 PRs, 11 pushes in 11 days
Contributions summary:Josh primarily focused on modifying Python scripts related to a speech-to-text application. They corrected formatting, addressed an SSL certificate warning, and implemented a feature to delay audio playback after a mention. Further work involved fixing a Hipchat user ID issue and updating the notification mechanism. These modifications suggest a focus on the application's core functionality and integration with external services.
speech-to-text
Contributions:6 PRs, 36 pushes, 2 branches in 6 years 1 month
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