Lead Product Manager — Trust & Safety

October 15, 2026

Lead

Barcelona, Spain

Description

Lead Product Manager role owning the Trust & Safety product agenda end-to-end for a large-scale consumer marketplace building AI-native experiences across multiple markets. The position defines how fraud and abuse are detected and prevented, turning Trust & Safety from reactive incident response into proactive, intelligence-driven product work. It partners with Data Science, Engineering, Legal, Compliance and Operations, and represents Trust & Safety at leadership level.

Responsibilities

Own the Trust & Safety product strategy and roadmap translating business risk and user insight into a prioritised plan
Shift from reactive incident response to proactive intelligence-driven fraud prevention with Risk Engine, data signals and anomaly detection
Ship AI-native Trust & Safety experiences with Data Science and Engineering using ML models, LLMs and behavioural signals
Balance fraud mitigation with growth protection, avoiding unnecessary friction for legitimate marketplace users
Define and track Trust & Safety metrics: fraud loss rates, false positive rates, time-to-resolution, user trust scores and financial exposure
Partner closely with Engineering, Data Science, Legal, Compliance and Operations with shared accountability for outcomes
Build long-term instrumentation, monitoring and evaluation capabilities to measure fraud rates and detection model performance
Establish business cases quantifying fraud losses and ROI of prevention investments to secure resources
Ensure products and strategies meet local and regional compliance, legal and security requirements across all markets
Apply AI to product management work: faster threat analysis, synthetic user research and AI-assisted spec writing
Represent Trust & Safety at leadership level, presenting strategy, risk posture and results to executive audiences

Requirements

Significant product management experience in digital sector such as marketplace, e-commerce, classifieds, fintech or similar high-scale environment
Proven experience owning trust-related products like Trust & Safety, Fraud Prevention, Risk, Identity & Verification or Account Security
Track record of building scalable systems that proactively detect, prevent and mitigate abuse, fraud and risk
Strong analytical and data-driven mindset with experience defining success metrics and evidence-based prioritization decisions
Experience partnering closely with Engineering, Data Science, Operations, Legal and Compliance in regulated or high-risk environments, including vendor management
Experience building, deploying or working closely with machine learning, AI, risk scoring, detection and automation systems
Ability to balance user experience, marketplace growth, operational efficiency and risk mitigation through thoughtful trade-offs
Comfortable operating in ambiguity, influencing senior stakeholders, and driving strategy and execution across multiple teams
Strong core product muscle that transfers across unfamiliar threat vectors and fraud domains
Well versed in building and iterating core Data Science products at scale
Experience building trust, risk or safety products across multiple international markets and regulatory environments (nice to have)
Familiarity with emerging regulations and industry trends affecting online platforms, marketplaces, payments and AI (nice to have)