"Jerene Yang, a team lead for synthetic data generation at OpenAI, said on an episode of the "AI Across Borders" podcast published Wednesday that her interview process was "extremely quick, extremely efficient, and very no-nonsense." Yang joined OpenAI's San Francisco office in October 2024. Before OpenAI, she was a senior engineering manager at Google, where she led Cloud Spanner and managed large-scale database systems, according to her LinkedIn profile."
"Yang said a recruiter reached out to her on a Monday about a role leading a team that aligned with her background. She agreed to an initial conversation, which took place the following day with the hiring manager and technical lead. By Wednesday, Yang completed the full interview, which she said ran from 9 a.m. to 6 p.m. She received an offer on Thursday and signed it the next day."
"Yang said one key part of the process was an interview round known as a "technical deep dive" or a "research discussion" for research-focused roles. Candidates can choose a topic to discuss with a researcher. For engineering candidates, that often means walking through systems they have built, explaining the problems they were trying to solve, and describing the trade-offs behind key decisions."
Jerene Yang joined OpenAI's San Francisco office in October 2024 after leading Cloud Spanner and managing large-scale database systems at Google. A recruiter contacted her on a Monday for a role aligned with her background, followed by an initial conversation with the hiring manager and technical lead the next day. She completed a full interview day on Wednesday from 9 a.m. to 6 p.m., received an offer on Thursday, and signed on Friday. The process includes a technical deep dive or research discussion where candidates present chosen topics, walk through systems they built, explain problems solved, and describe trade-offs in decisions.
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