Trust & Safety Engineer
Stockholm · 5+ years experience · Full-time · Onsite · Posted Oct 2, 2026
At a glance
- Experience
- 5+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- Stockholm
About the role
- Millions of people build on Lovable every month, and you will build the adaptive systems that stop monetary fraud, platform abuse, and bot attacks before they reach users.
Responsibilities
- Design and ship the fraud platform that protects Lovable's payments, credits, and free tier from abuse.
- Build real-time detection including signals, features, scoring, and decisioning that act in milliseconds.
- Run a tight feedback loop with chargebacks, support, and trust & safety to label, learn, and re-deploy weekly.
- Stand up bot defenses across signup, app generation, and publishing without breaking legitimate users.
- Own the metrics that matter including fraud loss rate, false-positive rate, and attacker time-to-defeat.
Requirements
- 5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale (payments, marketplaces, fintech, or large social platforms).
- Strong backend engineering experience with Go, Python, or TypeScript and comfort working close to the data.
- Experience with disrupting sophisticated fraud campaigns and attacks, knowledge of rules engines, real-time feature stores, ML scoring, device fingerprinting, and behavioral signals.
- Ability to model an attacker, ship a counter, and measure it before they adapt.
- Pragmatic approach to precision and recall trade-offs to protect users without punishing them.
Preferred qualifications
- Experience with LLM-specific abuse (prompt injection at scale, generated-content fraud, credit farming)
- Experience with chargeback and payments fraud at a Stripe, Adyen, or Braintree-scale merchant.
Skills
- Go
- Python
- TypeScript
- Rules Engines
- Real-time Feature Stores
- ML Scoring
- Device Fingerprinting
- Behavioral Signals
