Trust & Safety Engineer

Lovable
Stockholm
Workplace: OnsiteFull timeFunction: CybersecurityExperience: 5+ yearsSkills: []

Build adaptive fraud prevention systems that stop monetary fraud, platform abuse, and bot attacks before they reach users. Design and ship a fraud platform protecting payments, credits, and the free tier, implementing real-time detection, decisioning, and feedback loops with chargebacks, support, and trust & safety. Own key metrics like fraud loss and false positives while standing up bot defenses across signup, app generation, and publishing.

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FursaFursa
Lovable
Lovable
2 days ago

Trust & Safety Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build adaptive fraud prevention systems that stop monetary fraud, platform abuse, and bot attacks before they reach users. Design and ship a fraud platform protecting payments, credits, and the free tier, implementing real-time detection, decisioning, and feedback loops with chargebacks, support, and trust & safety. Own key metrics like fraud loss and false positives while standing up bot defenses across signup, app generation, and publishing.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Design and ship a fraud platform that protects payments, credits, and the free tier from abuse.
  • •Build real-time detection signals, features, scoring, and decisioning that act in milliseconds.
  • •Run weekly feedback loops with chargebacks, support, and trust & safety to label, learn, and redeploy.
  • •Stand up bot defenses across signup, app generation, and publishing without disrupting legitimate users.
  • •Own fraud and performance metrics, including fraud loss rate, false-positive rate, and attacker time-to-defeat.

Key Requirements

  • •5+ years building anti-fraud, anti-abuse, or risk systems at consumer scale (payments, marketplaces, fintech, or large social platforms).
  • •Strong backend engineering in Go, Python, or TypeScript, with comfort working close to the data.
  • •Experience disrupting sophisticated fraud campaigns, including rules engines, real-time feature stores, ML scoring, device fingerprinting, and behavioral signals.
  • •Ability to think in adversaries: model an attacker, ship countermeasures, and measure impact before adaptation.
  • •Practical judgment around precision/recall trade-offs to protect users without excessive false positives.
Experience:5+ yearsPaymentsMarketplacesFintechLarge social platformsFraud preventionTrust & safety
Languages:English
Tech Stack:GoPythonTypeScriptRules enginesReal-time feature storesML scoringDevice fingerprintingBehavioral signalsLLMPrompt injectionStripeAdyenBraintree

Company Brief

Lovable
Lovable builds a conversational AI platform that lets users create apps and websites by chatting with AI, automating full‑stack development and integrations to rapidly produce production-ready software.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: Stockholm, Sweden
Founded: 2023
WebsiteLinkedInGlassdoor