Overview
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
- leadership
- communication
- strategic thinking
- real-time ML-powered decisioning
- fraud models and rules
- risk and fraud analytics
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