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OLX Group

Lead Product Manager – Trust & Safety

OLX Group

. Own the Trust & Safety product strategy and roadmap, translating business risk and user insight into a clear, prioritized plan .

Posted 9/29/2026full-timeRemote • Portugal, Spain, PolandSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Trust & Safety product management, focusing on fraud prevention, risk mitigation, and user experience optimization. Proficient in leveraging data science and AI to drive product strategy and measurable outcomes across digital platforms.

Highest-signal resume keywords
Product Management ExperienceFraud Prevention ExpertiseData-Driven Decision MakingMachine Learning ApplicationCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product StrategyFraud DetectionRisk ManagementData AnalysisMachine LearningAI IntegrationSuccess Metrics DefinitionScalable Systems DevelopmentCompliance TechnologyUser Experience Optimization
Soft Skills
Analytical MindsetOwnershipInfluencing StakeholdersProblem SolvingAdaptability
Tools & Technologies
Risk EngineAnomaly Detection ToolsInvestigation ToolingMonitoring SystemsEvaluation Capabilities
Industry Keywords
Trust & SafetyMarketplace IntegrityDigital MarketplacesE-CommerceFintechConsumer TrustRegulatory CompliancePayments RiskIdentity & VerificationAbuse Prevention

About the role

Key responsibilities & impact
  • Own the Trust & Safety product strategy and roadmap, translating business risk and user insight into a clear, prioritized plan
  • Shift from reactive incident response to proactive, intelligence-driven fraud prevention through the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling
  • Ship AI-native Trust & Safety product experiences with Data Science and Engineering using ML models, LLMs, and behavioral signals
  • Balance fraud mitigation with marketplace growth and minimize friction for legitimate users
  • Define and track Trust & Safety success metrics, including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure
  • Partner with Engineering, Data Science, Legal, Compliance, and Operations on shared outcomes and competing priorities
  • Build instrumentation, monitoring, and evaluation capabilities for fraud rates, detection model performance, and user impact at scale
  • Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive data-grounded prioritization
  • Ensure products and strategies meet local and regional compliance, legal, and security requirements across markets
  • Apply AI to product management operations, including threat analysis, synthetic user research, specification writing, and experimentation pipelines
  • Represent Trust & Safety at leadership level and present strategy, risk posture, and results to executive audiences

Requirements

What you’ll need
  • Significant product management experience in the digital sector, including consumer-facing platforms, marketplaces, mobility, e-commerce, classifieds, fintech, or similar high-scale environments
  • Proven experience owning trust-related products or problem spaces such as Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology
  • Track record of building scalable systems that proactively detect, prevent, and mitigate abuse, fraud, risk, or other trust-related issues
  • Strong analytical and data-driven mindset, including defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes
  • Experience partnering with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders in regulated or high-risk environments
  • Experience in vendor management and collaboration
  • Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems
  • Ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation
  • Ability to operate in ambiguity, take ownership of complex problem spaces, influence senior stakeholders, and drive strategy and execution across multiple teams
  • Strong core product management skills transferable across fraud domains
  • Well versed in building and iterating core Data (Science) products at scale
  • Experience across multiple international markets and regulatory environments (nice to have)
  • Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust (nice to have)