Lead Product Manager – Trust & Safety

OLX Group

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

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Trust & Safety product management, focusing on proactive fraud prevention, data-driven decision-making, and cross-functional collaboration. Capable of building scalable systems and defining success metrics to enhance user trust and mitigate risks in regulated environments.

Highest-signal resume keywords

Product Management ExperienceFraud Prevention ExpertiseData Science CollaborationMachine Learning ApplicationRegulatory Compliance Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Product StrategyFraud DetectionRisk ManagementData AnalysisSuccess Metrics DefinitionMachine LearningAI IntegrationAnomaly DetectionScalable Systems DevelopmentVendor Management

Soft Skills

Analytical MindsetCross-Functional CollaborationInfluencing StakeholdersOwnership of Complex ProblemsComfort in Ambiguity

Tools & Technologies

Risk EngineInvestigation ToolingMonitoring CapabilitiesEvaluation ToolsDecisioning Systems

Industry Keywords

Trust & SafetyDigital SectorMarketplace IntegrityCompliance TechnologyConsumer TrustE-commerceFintechPayments RiskInternational MarketsEmerging Regulations

About the role

Key responsibilities & impact

Own the Trust & Safety product strategy and roadmap, translating business risk and user insight into a clear, prioritised plan
Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention
Build 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 behavioural signals
Balance fraud mitigation with growth protection and make evidence-based trade-off decisions
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 to deliver outcomes
Build instrumentation, monitoring, and evaluation capabilities for fraud rates, detection model performance, and contributor/user impact
Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation
Ensure products and strategies meet local and regional compliance, legal, and security requirements
Apply AI to threat analysis, synthetic user research, specification writing, and experimentation pipelines
Represent Trust & Safety at leadership level, presenting strategy, risk posture, and results to executive audiences

Requirements

What you’ll need

Significant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment
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, rather than relying solely on manual or operational processes
Strong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes
Experience partnering closely with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders to deliver complex products 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
Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation
Comfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams
Strong core product muscle transferable across fraud domains
Well versed in building and iterating core Data (Science) products at scale
Experience building trust, risk, fraud, or safety products 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)

Benefits

Comp & perks

Diversity, Equity and Inclusion at OLX
Opportunity to work with a large-scale consumer marketplace and AI-native product experiences
Collaboration across 50+ nationalities and 7 markets
Potential consideration for future OLX roles for up to 12 months with optional data consent