Behavioral question
You are driving a model capability that spans Research, Infrastructure, Data Science, and Product, but no team clearly owns the end-to-end outcome. How would you establish decision rights, operating cadence, and escalation paths so the team can move quickly without sacrificing quality or safety?
- OpenAI
- Behavioral
- Hard
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What this question tests
Ability to create organizational clarity and drive an outcome across functions with no natural single owner.
How to approach it
- Describe the specific capability and why ownership was unclear, for example each team owned a piece but no one owned the end to end user outcome.
- State how you diagnosed the gap, for example decisions stalling or duplicated work because no one had authority to make final calls.
- Explain the decision rights structure you proposed, naming who owns which type of decision, for example Research owns model quality bar, Product owns launch timing and scope.
- Describe the operating cadence you set up, such as a weekly cross functional sync with a clear agenda and escalation owner.
- Explain the escalation path for when functions disagree, naming who breaks the tie.
- Give the result: faster decisions, a shipped outcome, or a measurable reduction in stalled work.
What a strong answer includes
- Names the specific decision types and who owns each, rather than a vague we set up better communication.
- Shows you personally drove the structure into existence, not just observed the problem.
- Includes a real escalation example where the path was actually used.
- Quantifies the improvement, for example decision cycle time dropping from weeks to days.
Common mistakes
- Describing only the problem, no owner, without a concrete structural fix.
- Taking on all decisions yourself instead of establishing real decision rights across functions.
Likely follow-up questions
- How did you get Research to agree to cede decision rights on anything?
- What would you do if the escalation path itself became a bottleneck?
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More questions from OpenAI
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 13: Lead the room: staff moves, forward-deployed PM, and the portfolio
- Chapter 14: Get the job: the AI PM interview loop