OpenAI Product Manager, ChatGPT Interview Experience
OpenAI · Senior · Product Manager
One interviewer literally opened with, “I don’t know why I keep getting booked for these,” and then asked me how I’d handle launching a new model if the first two years would lose $2 trillion. I was like, what is this, bro?
Interview process
I interviewed for two PM roles under ChatGPT, and I got in through a referral. The recruiter screen was short and very candid, but it was also a warning sign because she said the process changes constantly, and most of what she told me about the format ended up not matching reality. I then did two one-hour case interviews: one was a strong, practical discussion about how I would launch a new model in ChatGPT, and the other was chaotic after being canceled and rescheduled multiple times and then assigned to someone outside the team who seemed unclear on what he was testing. After those rounds, I was told I was not a fit for the search role, but they were still considering me for the growth role. Right now I am waiting to hear whether the final will be the old onsite panel in SF or the newer case-project-plus-presentation version.
Interview rounds · 4
- 1
Recruiter screen
This was a short recruiter screen, maybe 20 minutes, and it was way more candid than polished. She basically told me the process changes constantly, they are not standard, and I should be ready for anything. She also walked me through what she thought the interview format would be, but most of that ended up being wrong once I got into the actual loop.
- 2
Technical round
Product StrategyExecutionCross-FunctionalArtificial IntelligenceThis was the good round. The interviewer made it clear he wanted an open-ended discussion, so it felt less like a canned framework test and more like talking through how I would actually operate as a PM there. He kept pushing into launch tradeoffs, legal and finance risk, and how I would handle cross-functional friction.
Q1. Imagine you're leading the rollout of the newest model, like GPT-6, in ChatGPT. How would you launch it?
How they answeredI first asked whether he wanted a rigid structure or a more exploratory discussion, and he said to keep it open. I walked through target use cases, positioning, go to market, and the product experience inside ChatGPT, then how I would align research, design, engineering, legal, trust and safety, and finance. When he pushed on legal risk and a crazy $2T cost scenario, I got very concrete on usage assumptions, expected value, and what I would need to de-risk before launch instead of forcing a framework.
Follow-up questions- What initial use cases would you prioritize?
- How would you market it and think about go to market?
- What if legal says the launch is too risky?
- What if we estimate the first two years of running the model would cost $2 trillion? How would you frame that to finance?
- 3
Technical round
Product DesignThis round was a mess. It got booked and cancelled a few times, including a last-minute slot at a day and time that interviews usually don't happen, and I eventually got paired with someone outside the team on the enterprise and security side. He even said at the start that he did not know why he kept getting booked for these, and the whole thing felt uncalibrated.
- 4
Final / onsite round
PresentationCross-FunctionalBehavioralExecutionProduct StrategyI have not done the final yet. What I was originally told was a more standard onsite in San Francisco with engineering, design, a PM strategy or execution round, and then a culture fit conversation with the hiring manager. Then they told me some teams are moving to a case project where you present to that panel instead, maybe followed by culture fit, and they are still deciding which version they want for the growth role.
Tips from the candidate
I would prep for practical rollout questions, not textbook PM cases. I would literally practice, if I had to launch a big OpenAI product tomorrow, how would I work through research, engineering, design, legal, trust and safety, and finance, and then have someone throw curveballs at me about what goes wrong in each lane. At the start of the round, I would explicitly ask whether they want a Meta-style structured answer or a more free-form discussion, because different interviewers seem to evaluate very differently. I also would not lean too hard on competitor analogies. I think they care more about whether I can make decisions under ambiguity, call out risks, and keep moving when there is no real playbook.
Company culture
My biggest takeaway is that PMs there feel much closer to general managers than traditional PMs. I got the sense you own a lot of the messy cross-functional work yourself, especially with finance, legal, trust and safety, research, and launch risk, because the org is still pretty lean and moving fast. The interview process also feels very uncalibrated right now: formats are changing, some interviewers run practical and useful discussions, and some seem to just default to whatever style they personally know. From a product standpoint, I personally did not get a super strategic, narrow-bets vibe. It felt more like a startup mentality of ship fast, do a lot, and stay ahead that way. I also came away feeling that SF is clearly the center of gravity, and if you are a PM outside SF, especially in New York, you probably get sidelined because leadership and most of the core builders are there.