Lead Product Manager - Trust & Safety

OLX; Lisboa; Sur place; EUR 110 000 - 150 000; Plein temps

Résumé du poste

OLX is seeking a Lead Product Manager for Trust & Safety to own the strategy and end-to-end delivery across markets. You will define detection and prevention of fraud, protect user integrity, and build AI-native safety infrastructure that scales without adding friction for legitimate users.

You will partner with Engineering, Data Science, Legal, Compliance, and Operations, ship real-time signal-driven capabilities, measure outcomes with fraud metrics, and present impact to executives while

Qualifications

• Significant product management experience in digital consumer platforms.
• Proven ownership of trust-related products (Trust & Safety, Fraud, Risk, Identity).
• Track record building scalable fraud prevention systems.
• Strong analytical and data-driven mindset with metrics.
• Experience partnering with Engineering, Data Science, Legal, Compliance.
• Experience with ML/AI-powered trust products is a plus.
• Ability to balance user experience, growth, and risk.
• Comfort with ambiguity and cross-functional leadership.
• Core product skills transferable across fraud domains.
• Building data products at scale.

Responsabilités

• Own the Trust & Safety product strategy and roadmap translating risk into prioritised plan.
• Develop proactive fraud prevention through data signals, anomaly detection, and tooling.
• Ship AI-native safety experiences using ML models and behavioural signals.
• Balance risk mitigation with growth, minimizing friction for legitimate users.
• Define and track TS success metrics and communicate impact to execs.
• Collaborate with Engineering, Data Science, Legal, Compliance, and Operations.
• Build instrumentation to measure fraud rates and model performance.
• Quantify fraud losses and ROI for prioritisation and resource allocation.
• Ensure compliance and security across markets.
• Apply AI to PM workflows for faster threat analysis and experimentation.

Connaissances

Product management

Cross-functional leadership

Data-driven

AI/ML awareness

Analytical mindset

Vendor management

Influence & communication

Outils

ML models

LLMs

Detection tooling

Data pipelines

Description du poste

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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