Lead Product Manager (Trust & Safety)

OLX Group; Barcelona; On-site; EUR 90,000 - 135,000; Full time

Benefits offered by this job

Development programs

BetterUp therapy

Speak Up culture

Engagement surveys

Hybrid work setup

Job summary

OLX Group is seeking a Lead Product Manager to own the Trust & Safety product agenda end-to-end, defining the strategy for detecting and preventing fraud, protecting user integrity, and keeping our marketplace safe.

You will partner with Data Science and Engineering to ship AI-native detection and decisioning systems, build the risk engine, and balance risk with growth. The role requires collaboration across Legal, Compliance, and Operations in a fast-growing, global marketplace.

Qualifications

• Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, or automation systems.
• Hands-on experience with AI-powered trust or fraud products is a plus.
• Strong analytical, data-driven mindset with experience defining success metrics and making evidence-based prioritizations.
• Proven product management experience in large-scale consumer marketplaces or similar environments.

Responsibilities

• Own the Trust & Safety product strategy and roadmap across markets.
• Shift from reactive incident response to proactive fraud prevention with risk engine and anomaly detection.
• Ship AI-native safety experiences in collaboration with Data Science and Engineering.
• Balance fraud mitigation with growth to avoid friction for legitimate users.
• Define and track success metrics and communicate impact to senior leadership.

Skills

AI/ML systems

Fraud product

Data products

Analytical mindset

Success metrics

Digital domain

Ambiguity tolerance

Cross-functional

Vendor management

International markets

Job description

• 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
• We 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
• 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

Benefits

• Range of development programs and resources designed to help you thrive in a way that suits you
• Unlimited therapy and coaching sessions through our BetterUp partnership
• ‘Speak Up’ (87% of our employees say they feel able to speak openly and not shy away from difficult conversations)
• Quarterly engagement surveys
• Hybrid working set-up (differs for each role)

Requirements

• 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 plusWell versed in building, iterating core Data (Science) products at scaleStrong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomesStrong 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 notTrack 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.
• Significant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment.
• Comfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams.
• 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.
• Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business.
• 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.
• 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.