PM Interview: "How would you improve LinkedIn's job matching algorithm?"

Assesses technical and product knowledge in two-sided platforms, empathy for job-seeker/recruiter, and metrics.

• Describes job seeker and recruiter motivations
• Identifies limitations in current matching process
• Suggests improvements (skills matching, interest signals, nudge systems, diversity & privacy)
• Considers bias and fairness
• Defines relevant metrics (matches per user, response rate, fill time)

• Quality > volume in job search
• Consider fairness, bias, and ghosting
• Nudge system can increase matches