Lead Product Manager Trust&Safety

OLX is a large-scale consumer marketplace ecosystem operating across multiple markets, including brands such as AutoTrader, OLX, Otomoto Property24, and more. The company is backed by Prosus, one of the world's largest tech investors, and serves millions of users monthly for buying and selling cars, homes, jobs, and secondhand goods.

• Significant product management experience in digital consumer platforms such as marketplaces, e-commerce, classifieds, fintech, or similar high-scale environments.
• Proven experience owning trust-related products or problem spaces like Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology.
• Track record of building scalable, proactive systems to detect, prevent, and mitigate abuse, fraud, and risk beyond manual operational processes.
• Strong analytical and data-driven mindset with experience defining success metrics and making evidence-based prioritization decisions.
• Experience partnering with Engineering, Data Science, Operations, Legal, and Compliance in regulated or high-risk environments, including vendor management.
• Experience building, deploying, or collaborating with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems; hands-on experience with AI-powered trust or fraud products is a plus.
• Ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation with thoughtful trade-offs.
• Comfortable with ambiguity, owning complex problem spaces, influencing senior stakeholders, and delivering strategy and execution across teams.
• Demonstrated adaptability in unfamiliar fraud domains with core product skills transferable across sectors.
• Well-versed in building and iterating core Data Science products at scale.

Nice to have:

• Experience building trust, risk, fraud, or safety products across multiple international markets and regulatory environments.
• Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust.

• 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 by building the Risk Engine, data signals intelligence, anomaly detection, and investigation tools.
• Collaborate with Data Science and Engineering to design, prototype, and productionize AI-native real-time detection and decisioning systems using ML models, LLMs, and behavioral signals.
• Balance fraud mitigation with growth protection, making evidence-based trade-off decisions to avoid unnecessary friction for legitimate users.
• Define and track T&S success metrics including fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure.
• Partner with Engineering leads, Data Science, Legal, Compliance, and Operations to ensure shared accountability and navigate competing priorities.
• Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates and detection model performance at scale.
• Establish business cases quantifying fraud losses and ROI of prevention investments, securing resources and driving prioritization based on data.
• Ensure products and strategies comply with local and regional compliance, legal, and security requirements across all markets.
• Apply AI to product management processes such as threat analysis, user research, spec writing, and experimentation pipelines.
• Represent Trust & Safety at leadership level, presenting strategy, risk posture, and results to executive audiences.

OLX values diversity and encourages applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply, including those who may not meet all requirements. The company will process personal data for assessing applications and may store data for up to 12 months for future consideration, subject to privacy policies.