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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What this interview tests
- 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
Common question themes
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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