Fetch

Compensation

Full Description

About the Role: Fetch is seeking a Senior Product Manager - Fraud to own and advance our Fraud prevention capabilities, with a focus on delivering proactive, automated, and platform-level anomalous behavior detection and fraud prevention. This role sits within Core ML Products and partners deeply with ML, Fraud Operations, Data, Engineering, Support, and Revenue teams to protect partner investments, maintain user trust, and ensure fraud prevention scales with Fetch’s growth. You’ll be responsible for translating fraud strategy into shippable, measurable product capabilities that operate throughout the user and partner journey and more consistently across features. This is a highly cross-functional role that requires strong product judgment, comfort working with ML systems, and the ability to balance partner protection, user fairness, and platform velocity. You’ll be joining Fetch at a pivotal moment, as new technologies and tooling transform how we build, integrate, and scale our products. This is a full-time role that can be held from one of our US offices or remotely in the United States. Role Responsibilities: Own the product vision, strategy, and execution for Fetch’s fraud prevention initiatives aligned to operational and company goals, with a focus on earlier detection, higher automation, and platform-level leverage. Translate fraud goals into clear product requirements, milestones, and success metrics that ladder up to topline company goals Partner with ML and Engineering to design, ship, and iterate on behavior and actor-level fraud detection, education, and enforcement systems across the full experience spanning all user flows and ads experiences Help define and evolve a platform-wide trust and intent framework that can be reused across fraud vectors and product lines. Work with other product teams to integrate fraud controls directly into product surfaces, ensuring consistent standards without blocking feature velocity. Act as a strong product partner to Fraud Operations, Support, Revenue Ops, Legal, and Engineering. Balance competing priorities across partner protection, user experience, and growth with clear tradeoffs and rationale. Communicate progress, risks, and decisions clearly to stakeholders at multiple levels. Minimum Requirements: 5+ years of Product Management experience, including 3+ years building and owning ML-powered fraud, risk, trust & safety, or abuse-prevention systems in high-scale consumer platforms or marketplaces. Technical proficiency in managing ML-powered systems, probabilistic decisioning, and partnering with Engineering on architecture, data models, and system design. Proven ability to set strategy, make trade-offs, and drive alignment across cross-functional partners (Engineering, ML, Data, Operations, Sales). Strong product judgment, balancing partner protection, user trust, and platform velocity; data-driven with experience defining success metrics. A self-starter who operates independently, thrives in ambiguity, and can define problem spaces and drive execution with limited guidance. Excellent written and verbal communication skills for engaging with internal teams, external partners, and executive stakeholders. Experience designing systems that balance automation with human-in-the-loop workflows.