Real, anonymous reports from people who interviewed for Product Manager at OpenAI, newest first and distilled into what to expect across the loop.
I interviewed for an OpenAI Product Manager role that felt difficult mainly because of process issues, and I went through the full loop without landing an offer.
I interviewed for an OpenAI Product Manager role and got eliminated after the first couple of conversations, with the questions not feeling especially difficult.
The interview process is structured over several weeks, typically consisting of multiple rounds, including recruiter screens, hiring manager calls, and potentially a take-home assignment. Candidates noted that while the process was organized, communication could be lacking.
The initial recruiter screen focuses on background questions related to previous experience and situational prompts, but candidates found the communication regarding the role and compensation to be vague and uninformative.
Interviews emphasize product sense and execution, with candidates participating in discussions that assess their product thinking and analytical skills. Some candidates experienced a panel format for this assessment.
Some candidates may encounter a take-home assignment, such as a roadmap optimization task, which tests prioritization and trade-offs in product management scenarios.
Candidates can expect a significant focus on behavioral and experience-based questions during interviews, particularly in discussions with hiring managers, aimed at understanding their approach to product work.
Several candidates reported issues with communication and feedback throughout the process, noting a lack of responsiveness from recruiters and insufficient feedback after interviews.