Trust & Safety Engineer

📋 Description

• Design and ship the fraud platform that protects Lovable's payments, credits, and free tier from
• Build real-time detection: signals, features, scoring, and decisioning that act in milliseconds.
• Run a tight feedback loop with chargebacks, support, and trust & safety to label, learn, and
• Stand up bot defenses across signup, app generation, and publishing - without breaking legitimate
• Own the metrics that matter: fraud loss rate, false-positive rate, attacker time-to-defeat.

🎯 Requirements

• 5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale (payments
• Strong backend engineering - Go, Python, or TypeScript - and comfort working close to the data.
• Experience with disrupting sophisticated fraud campaigns and attacks, knowledge of rules engines
• You think in adversaries: you can model an attacker, ship a counter, and measure it before they
• Pragmatic about precision/recall trade-offs. You protect users without punishing them.
• Bonus: experience with LLM-specific abuse (prompt injection at scale, generated-content fraud