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Design a lead scoring system (rank sales leads by conversion likelihood).

Sales has finite rep-hours, so the model's job is to point them at the leads worth a call. The signal interviewers want is value-weighted prioritization, careful conversion labels, and proof of revenue uplift over a holdout.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Sales has finite rep-hours, so the model's job is to point them at the leads worth a call. The signal interviewers want is value-weighted prioritization, careful conversion labels, and proof of revenue uplift over a holdout.

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Applied AI Engineering·The interviewPremium14mDriving the design conversationA design round is a conversation you are expected to lead, not a question you answer. This lesson is the shape that works, the four moments that decide the outcome, and the two classic ways strong candidates lose one.Applied AI Engineering·The interviewPremium12mTurning this course into a study planA concrete four-week plan mapping the seven modules onto the question bank, plus what to do differently if your interview is next week rather than next month.
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Next in this trackDesign a demand forecasting system (retail/inventory/capacity).Next in this trackDesign an autonomous coding agent that resolves GitHub issues end to end (plan, edit, test, iterate).Next in this trackDesign a semantic cache for LLM responses that cuts cost and latency without serving stale or wrong answers.
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