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OpenAI ships at frontier pace into problems nobody has solved before - requirements shift weekly and the spec doesn't exist. Interviewers test whether you produce velocity or need certainty.
Variations on these are asked at every level. Have a story pre-loaded for at least three of them.
The full library pairs strong and weak examples with notes on what makes each work (or fail). Here's how two of the strong stories open.
2 full STAR answers (strong and weak, with interviewer notes) · 6 common pitfalls · 5 follow-up strategies
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Tested at Google, Anthropic, OpenAI, and any senior+ loop. Strong candidates show how they get curious; weak candidates show how they get anxious.
Speed matters. But the principle is reversible-vs-irreversible reasoning, not 'I work fast.' Get this distinction wrong and the answer reads as reckless.
Meta rewards engineers who ship iteratively, bias toward action, and learn from production rather than waiting for certainty.
Reading STAR answers is the floor. The interview signal is in delivering them out loud, with follow-ups, under pressure. Write your own Velocity in Ambiguity story first, then say it out loud in a behavioral mock - Alex reads your story bank.