Engineering Manager (Anti-Abuse & Security)

Join Replit as a hands-on Engineering Manager to build and lead the Anti-Abuse team. In this foundational role, you will define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship systems that protect Replit's platform, users, and economics from adversarial actors. You will partner with various teams across the company and design progressive verification and identity infrastructure. This role requires a strong background in engineering, experience managing teams, and familiarity with anti-abuse and fraud prevention strategies.

• Definir la hoja de ruta de la lucha contra el abuso, priorizar los vectores de abuso y traducirla en un plan de envío.
• Diseñar la infraestructura de verificación progresiva y de identidad, construyendo la "escalera de confianza" que controla las capacidades de la plataforma.
• Contratar y hacer crecer un equipo pequeño y de alto rendimiento, fomentando una cultura donde los ingenieros utilicen agentes de IA como multiplicadores de fuerza.
• A hands-on orientation: you still write code, review PRs, and prototype. Comfort using AI coding tools (Claude Code, Cursor, Replit Agent, or similar) as part of your daily workflow
• Experience operating cross-functionally with Support, Legal, Security, and Growth teams. Comfort translating between technical detections and business impact
• Strong product and metrics intuition. You've defined success metrics for ambiguous problems and built the data infrastructure to measure them
• Experience with identity, KYC, or progressive verification systems is a significant plus. You've thought about how to layer trust signals and gate capabilities without wrecking conversion
• Experience building detection and enforcement systems at scale: rules engines, ML-based risk scoring, reputation systems, identity and device signals, or similar
• Crisp written communication and the ability to build clarity in an ambiguous, 0-to-1 environment
• 6 to 10+ years of engineering experience with 2+ years managing teams, ideally in anti-abuse, trust and safety engineering, fraud, or an adjacent adversarial domain
• Experience with AI-native abuse vectors (prompt injection, LLM token farming, agent-driven abuse) or a track record of adapting quickly to novel threat categories
• Familiarity with payment fraud, card testing, coupon abuse, referral abuse, or promotional abuse
• Experience at a consumer platform, developer tool, or cloud provider with meaningful abuse surface area
• Experience integrating KYC and identity verification providers (Prove, Persona, Socure, Stripe Identity, or similar)
• Background in security, trust and safety, or fraud prevention at a hypergrowth company