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Replit

Senior

Build Replit's Anti-Abuse team from zero to defend against AI-native fraud and abuse

Replit is hiring a hands-on Engineering Manager to build its Anti-Abuse team from scratch — defining the threat model across phishing, cryptomining, LLM token farming, and payment fraud, and building a progressive verification/identity 'ladder of trust' system. Requires 6-10+ years engineering experience with 2+ years managing teams in anti-abuse, trust & safety, or fraud. Foster City, CA (hybrid, in-office Mon/Wed/Fri).

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这场面试考什么

  • 0-to-1 anti-abuse roadmap & threat modeling
  • Progressive verification / identity 'ladder of trust' design
  • Detection & enforcement systems (rules engines, ML risk scoring, reputation)
  • Defining abuse/fraud metrics from scratch
  • Hands-on technical leadership (staying in the code, using AI tools)
  • Cross-functional operation with Legal, Support, Security, Growth

常见提问方向

How would you prioritize and sequence a threat model across multiple abuse vectors

Design a progressive verification system that gates features without hurting conversion

Describe a detection/enforcement system you built and how you tuned false positives

How do you define success metrics for an ambiguous, unmeasured problem

Tell me about a recent time you personally wrote code or prototyped a detection

How do you balance fraud prevention against user growth/conversion with Growth team

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