went through the Cohere behavioral interview round a few weeks ago and wanted to share what I noticed, because it felt meaningfully different from the standard STAR-box-checking i've experienced at other places.
first, the questions themselves. they asked around 4-5 and went deep on follow-ups rather than speed-running through a list: tell me about a time you disagreed with a technical decision. what happened and what would you do differently? describe a project that didn't go as planned. how did you handle the ambiguity? how do you stay current in a field that moves as fast as AI/NLP? tell me about a time you had to explain a complex technical concept to a non-technical stakeholder what's a decision you've made that you still second-guess?
the last one caught me off guard. most behavioral rounds want confident resolution stories. Cohere seemed genuinely interested in people who can sit with uncertainty and acknowledge they don't always have the answer.
what they seemed to value intellectual curiosity about language models and NLP, even if your background is backend infra or product candor about mistakes, not performative humility but actual reflection collaboration across research/engineering/product boundaries (they asked specifically about working with researchers) a sense that you're here because you care about the space, not just because it's the hot sector
what they didn't seem to care about whether your stories were perfectly STAR-formatted whether you'd worked at a prestigious company credentials in ML specifically if you could demonstrate curiosity and learning agility
i was nervous going in because i had a gap in my resume and wasn't sure how they'd react. the interviewer was warm and just treated it as context, not a red flag. that mattered to me.