Trust & Safety Engineer

Department: Engineering

Location: Stockholm

Employment Type: FullTime

TL;DR Millions of people build on Lovable every month. A small fraction try to abuse it. You'll build the adaptive systems that stop monetary fraud, platform abuse, and bot attacks before they reach our users.

Why Lovable?

Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we're just getting started.

We're a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

What we're looking for

• 5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale (payments, marketplaces, fintech, or large social platforms).

• 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, real-time feature stores, ML scoring, device fingerprinting, and behavioral signals.

• You think in adversaries: you can model an attacker, ship a counter, and measure it before they adapt.

• 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, credit farming) or with chargeback and payments fraud at a Stripe/Adyen/Braintree-scale merchant.
  

What you'll do

• Design and ship the fraud platform that protects Lovable's payments, credits, and free tier from abuse.

• 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 re-deploy weekly.

• Stand up bot defenses across signup, app generation, and publishing - without breaking legitimate users.

• Own the metrics that matter: fraud loss rate, false-positive rate, attacker time-to-defeat.

About your application

• Please submit your application in English - it’s our company language, so you’ll be speaking lots of it if you join

• We treat all candidates equally - if you’re interested, please apply through our careers portal