
10,000+ employees
🛍️ eCommerce
🏪 Marketplace
👥 B2C
eCommerce • Marketplace • B2C
OLX is a marketplace platform that offers safe and easy-to-use trading services for consumers globally. With a focus on sustainability and community, OLX empowers individuals to connect and trade efficiently, making a positive difference in the world. Through various brands and a commitment to understanding customer needs, OLX fosters an innovative work environment that encourages teamwork and growth.
🔥 0 minutes ago
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10,000+ employees
🛍️ eCommerce
🏪 Marketplace
👥 B2C
eCommerce • Marketplace • B2C
OLX is a marketplace platform that offers safe and easy-to-use trading services for consumers globally. With a focus on sustainability and community, OLX empowers individuals to connect and trade efficiently, making a positive difference in the world. Through various brands and a commitment to understanding customer needs, OLX fosters an innovative work environment that encourages teamwork and growth.
• 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 that make this possible. • Ship AI-native T&S product experiences: partner with Data Science and Engineering to design, prototype, and productionise real-time detection and decisioning systems using ML models, LLMs, and behavioural signals. • Balance fraud mitigation with growth protection—ensuring T&S interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. • Define and track the right T&S success metrics: fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure. Communicate impact in business terms to senior leadership. • Partner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. • Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. • Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. • Ensure products and strategies meet local and regional compliance, legal, and security requirements across all markets. • Apply AI to how you operate as a PM: faster threat analysis, synthetic user research on abuse patterns, AI-assisted spec writing, automated experimentation pipelines—whatever moves the needle on velocity. • Represent Trust & Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences.
• 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. Hands-on experience with AI-powered trust or fraud products is a plus. • Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business. • 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 that transfers across fraud domains—you've stepped into unfamiliar threat vectors, oriented fast, and delivered. Domain specificity matters; rigid domain lock-in does not. • Well versed in building, iterating core Data (Science) products at scale
• Diversity, Equity and Inclusion at OLX • Commitment to outcomes • Collaboration across 50+ nationalities and 7 markets • Customer-led approach • Culture that's ambitious, fast-moving, and built on trust
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