Structured Interviews Over Gut Feel in AI Hiring

Most hiring decisions in AI infrastructure still come down to a feeling in the room. Strong interview. Good rapport. Everyone nods. An offer goes out. Three months later the hire is struggling, and nobody can say exactly what was missed. The problem is rarely the candidate. It is the absence of a structured evaluation framework. Gut feel rewards the person who interviews well, not the one who does the job well. A structured framework changes what actually gets measured: • Defined competencies agreed before the first interview • A consistent scorecard every interviewer completes independently • Evidence captured against each signal, not a vague summary impression • A debrief that compares notes rather than averaging vibes The point is not to remove judgement. It is to make judgement comparable across the panel. Unstructured interviews measure charisma. Structured ones measure the work. Which competency is hardest to assess in an interview for a technical GTM or engineering role? #withvector

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