OpenAI’s behavioral interview sits in the final round, usually as one of three or more sessions, and tests why you want OpenAI specifically, how you handle disagreement, and whether you can ship fast without breaking things. The most common OpenAI behavioral questions in 2025 reports are why OpenAI, tell me about a time you disagreed with your manager, and describe your biggest failure. Recruiters also ask why you are looking for a new role in the first call.
In the July 2025 US loop that ended in an offer, the final round was two technical interviews and one behavioral interview. A senior iOS candidate in April 2025 had two hiring manager interviews scheduled after the technical rounds. Full loops are on the OpenAI interview experience page, and the technical rounds are on the OpenAI interview questions hub.
OpenAI’s listed values
OpenAI’s careers page has listed five values, as summarized in a 2025 interview guide: AGI focus, Intense and scrappy, Scale, Make something people love, and Team spirit. You do not need to name them. Stories that show fast shipping with a small team, work at high scale, and products people actually used line up with them without saying so.
Common OpenAI behavioral questions
1. Tell me about yourself
Framework: Present, then past, then why OpenAI now, in 60-90 seconds.
Sample answer (adapt): “I am a backend engineer at a payments startup, where I own the API gateway that handles about 8,000 requests a second. Last year I moved our rate limiting from a single Redis node to a sharded setup and cut p99 latency from 40 ms to 12 ms. Before that I built internal tools at a larger company. I want to work on the API platform at OpenAI because usage metering and rate limits at your volume is the problem I have been working on at a smaller scale.”
2. Why OpenAI?
Sample answer: “I use the API every week to build internal tools, and the part I keep running into is how limits and quotas behave when a job spikes. Your Developer Productivity and API teams are building the systems I want to work on. I also want a place where a small team owns a whole service end to end, and the postings I read describe that.” Replace the details with what you have actually used.
3. Why this team?
Framework: One product fact, one problem you saw in it, one piece of your work that fits. Read the team’s posting first; OpenAI posts roles by team, such as Core Services, Fleet Management or Integrity Foundations.
4. Tell me about a time you disagreed with your manager
STAR sample: “Situation: My manager wanted to launch a new caching layer before a holiday traffic peak. Task: I owned the service and thought invalidation was not tested well enough. Action: I ran a replay of a week of production traffic against staging and found stale reads on 0.3% of requests. I showed him the numbers one-on-one and proposed launching behind a flag for 10% of traffic. Result: He agreed, we found one more bug at 10%, and the full launch went out a week later with no incidents. What I learned: Data beat opinion faster than another meeting would have.”
5. Describe your biggest failure
STAR sample: “Situation: I pushed a config change that removed a timeout on a downstream call. Task: It caused a 40-minute partial outage during peak hours. Action: I rolled back, wrote the postmortem, and added a config validation step in CI that rejects missing timeouts. Result: The same class of bug has not recurred in two years. Learning: I now stage config changes like code changes.”
6. Tell me about a time you shipped something important on a tight timeline
STAR sample (Intense and scrappy): “Three engineers, three weeks, a customer demo. I cut the admin UI and used a script instead, kept the API and its tests complete, and shipped two days early. We built the UI after the customer signed.”
7. Tell me about a system you scaled
STAR sample (Scale): “Our job queue fell behind at 2,000 jobs a minute. I profiled it, found lock contention on one table, moved to partitioned queues by customer, and it handled 15,000 a minute in a load test. I added queue-depth alerts so we would see the next limit before customers did.”
8. Tell me about something you built that users loved
STAR sample (Make something people love): Give the user problem, how you learned about it (support tickets, interviews, usage data), what you built, and a number showing adoption, for example weekly active users or tickets that stopped coming in.
9. Tell me about a time you helped a teammate succeed
STAR sample (Team spirit): “A new hire was stuck on our deploy system. I paired with her for two afternoons, then we rewrote the deploy doc together. She shipped her first change that week and the doc cut onboarding questions in our channel by about half.”
10. Tell me about a time priorities changed in the middle of a project
Framework: What changed, what you dropped, how you told stakeholders, and what you kept from the old plan. OpenAI ships products quickly, so interviewers want to see that you adjust without losing quality on the core path.
11. How do you think about misuse or safety in something you built?
Framework: Pick a feature with abuse risk (sign-ups, uploads, an open API), describe the abuse you expected or saw, the control you added (rate limits, review queues, logging), and how you measured it. OpenAI has teams such as Scaled Abuse and Integrity Foundations, so concrete controls land better than general opinions.
12. Do you have any questions for us?
Strong questions:
- “How does the team decide what to ship when the underlying models change every few months?”
- “What does on-call look like for this service?”
- “What would a strong first three months look like on this team?”
Real examples to prepare before OpenAI’s behavioral round
| Story type | Prompt | What it tests |
|---|---|---|
| Motivation | Why OpenAI, why this team | A specific reason tied to a product or posting |
| Disagreement | A time you disagreed with your manager | Using data, raising issues early, committing after a decision |
| Failure | Your biggest failure | Ownership and a lasting fix |
| Speed | Shipped on a tight timeline with a small team | Judgment about what to cut |
| Scale | A system you scaled | Measurement, bottlenecks, results |
Answers that hurt in OpenAI’s behavioral round
- “I am excited about AI” with no product, team or problem named
- Stories where the result has no number attached
- A disagreement story where you were simply right and nobody else learned anything
- A failure that is really a strength in disguise
- Opinions about AI policy in place of evidence from your own work
Sources
- Taro: software engineer, US, July 2025
- Taro: senior iOS engineer, San Francisco, April 2025
- Aced (formerly Exponent): OpenAI interview process guide, including behavioral questions and listed values
- OpenAI job board on Ashby (team postings)