Design a lead scoring system (rank sales leads by conversion likelihood).
Reps only have so many hours, so the model exists to steer them toward the leads worth calling. Interviewers listen for value-weighted prioritization, carefully built conversion labels, and evidence of revenue uplift measured against a holdout.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Reps only have so many hours, so the model exists to steer them toward the leads worth calling. Interviewers listen for value-weighted prioritization, carefully built conversion labels, and evidence of revenue uplift measured against a holdout.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
