In this Group Product Manager role, you’ll lead the fraud domain for Payment Performance, shaping the strategy and roadmap for a best-in-class fraud engine. You’ll co-own the Fraud Data Science roadmap and collaborate with Engineering, Analytics, Fraud Operations and Design to protect Checkout and its customers in real-time. You’ll work with world‑class merchants to understand fraud challenges and translate them into measurable product outcomes. This is a portfolio leadership role focused on scalable, ML-powered protection that adapts to evolving threats.
Pay / Benefits
hybrid working model
three days per week in office
Responsibilities
Set the fraud strategy with a unified vision and roadmap for merchant fraud products, real-time decisioning, and Checkout-wide protection
Close core gaps and build differentiated capabilities to shift competitive dynamics
Balance merchant fraud, Checkout losses, acceptance impact, FDP revenue, and operational effort in priority setting
Define protection needs for Enterprise, Platforms, SMBs, and other Checkout products
Improve real-time decisioning performance, coverage, and resilience
Enable configurable protection levels for merchants (manual, recommendations, or Autopilot)
Provide investigative and response tooling for fraud trends to improve protection
Enhance monitoring, explainability, controls, recommendations, alerts, and investigation experiences
Expand protection against new fraud types via data, models, and faster learning loops
Co-own Fraud Data Science roadmap and align with product outcomes and trade-offs
Ensure product economics: value measurement, adoption, packaging, and pricing input
Partner with Commercial and Product Marketing to articulate merchant value
Define boundaries and feedback loops with Risk Operations to connect automated decisions with accounts actions
Lead, coach, and develop Product Managers; establish clear ownership and goals
Create an effective operating model across Product, Engineering, Data Science, Analytics, Design, and Fraud Operations
Align senior stakeholders around evidence-based priorities and trade-offs
Lead the team to a unified strategy and roadmap within the FDP, Autopilot, and core fraud domains
Establish a strong joint operating model across Product, Data Science, Engineering and Fraud Operations
Build a high-performing PM team with clear accountability across the fraud domain
Key requirements
Deep experience building fraud or risk products in payments or high-volume decisioning environments
Strong understanding of fraud models, rules, controls and trade-offs between fraud prevention, false positives, and customer experience
Proven track record setting strategy and delivering outcomes across multiple related products or teams
Proven success leading and developing Product Managers
Ability to bring clarity and structure to complex problem spaces
Strong quantitative judgment and experience with model performance, experimentation, and financial analysis
Credibility with Engineering and Data Science teams building real-time, ML-powered products
Commercial judgment and ability to connect technical capabilities to customer value and business outcomes
Clear, persuasive communication with merchants, teams and senior executives
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