Lead Product Manager - Trust & Safety

OLX; Portugal; Remote; EUR 90,000 - 140,000; Full time

Job summary

OLX is seeking a Lead Product Manager for Trust & Safety to define and own the strategy for detecting and preventing fraud across our large-scale marketplace in Europe. You will build AI-driven systems, partner across functions, and balance user experience with growth and risk controls from Spain, Portugal, or Poland.

You will lead the risk engine, data signals, and real-time detection, delivering measurable improvements in fraud loss rates and user trust while scaling across multiple markets.

Qualifications

• Significant product management experience in a digital consumer platform or marketplace.
• Proven experience owning trust-related products such as Trust & Safety or Fraud Prevention.
• Track record building scalable systems for abuse, fraud, or risk mitigation.
• Strong analytical mindset with data-driven success metrics and prioritization.
• Experience partnering with Engineering, Data Science, Operations, Legal, and Compliance.
• Exposure to ML/AI, risk scoring, detection, or automation systems.

Responsibilities

• Own the Trust & Safety product strategy and roadmap translating risk into a prioritized plan.
• Build risk engine, data signals intelligence, anomaly detection, and investigation tooling.
• Ship AI-native TS experiences with real-time detection and decisioning using ML/LLMs.
• Balance fraud mitigation with growth, avoiding friction for legitimate users.
• Define TS success metrics and report impact to senior leadership.
• Collaborate with Engineering, Data Science, Legal, Compliance, and Operations.
• Establish instrumentation to measure fraud rates and model performance at scale.
• Develop business cases quantifying fraud losses and ROI of prevention.
• Ensure compliance across markets and regulatory environments.
• Apply AI to PM practices for threat analysis, AI-assisted spec writing, and experimentation.
• Represent Trust & Safety at leadership level with strategy and risk posture.

Skills

Trust & Safety

Product Strategy

Cross-functional

ML/AI

Metrics-driven

Regulated environments

Vendor management

Tools

AI/ML tools

Data Signals

Job description

WELCOME TO OLX

We're building marketplace sustainable ecosystems 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: safe, smart, and environmentally responsible.

We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – 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.

Join OLX and see how far you can go.

About the Role

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.

This role can be based in Spain, Portugal or Poland.

What you will do:

• 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.

What we are looking for:

• 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

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.

Diversity, Equity and Inclusion at OLX

OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply.

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