ph3WELCOME TO OLX /h3 pWe're building bmarketplace sustainable ecosystems /b that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: bsafe /b, bsmart /b, and benvironmentally responsible /b. We do this with bcourage /b to innovate, bcommitment /b to outcomes, bcollaboration /b across 50+ nationalities and 7 markets, and a bcustomer-led /bapproach that puts real people first. Add a bdesire to win /b – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors. /p h3About The Role /h3 pJoin OLX and see how far you can go. We are a large-scale consumer marketplace building AI-native product experiences across multiple markets. Trust and Safety is not a defensive function here - it is a strategic growth lever. A platform users trust converts better, retains longer, and earns stronger word of mouth. Fraud, abuse, and bad actors actively destroy the value we create; eliminating them is product work at its core. /p pWe are looking for a Lead Product Manager to own the Trust Safety product agenda end-to-end. You will define the strategy for how we detect and prevent fraud, protect user integrity, and keep our marketplace safe - while building systems that are intelligent, proportionate, and do not create friction for the millions of legitimate users who rely on us every day. AI is central to how you will do this: not as an add-on, but as the foundation of a new generation of proactive, signal-driven safety infrastructure. /p h3What You Will Do /h3 ul liOwn the Trust Safety product strategy and roadmap translating business risk and user insight into a clear, prioritised plan. /li liShift 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. /li liShip AI-native TS 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.
/li liBalance fraud mitigation with growth protection—ensuring TS interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. /li liDefine and track the right TS 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. /li liPartner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. /li liBuild long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. /li liEstablish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. /li liEnsure products and strategies meet local and regional compliance, legal, and security requirements across all markets. /li liApply 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. /li liRepresent Trust Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences. /li /ul h3What We Are Looking For /h3 ul liSignificant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment. /li liProven 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. /li liTrack 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. /li liStrong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes. /li liExperience 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. /li liExperience 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. /li liDemonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business. /li liComfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams. /li liStrong 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. /li liWell versed in building, iterating core Data (Science) products at scale /li /ul h3Nice To Have /h3 ul liExperience building trust, risk, fraud, or safety products across multiple international markets and regulatory environments. /li liFamiliarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust. /li /ul h3Diversity, Equity and Inclusion at OLX /h3 pOLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. /p pOLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement. /p /p #J-18808-Ljbffr
📌 Lead Product Manager Trust&Safety (España)
🏢 Olx
📍 España