Senior Product Manager

Summary

Join Mercury's Risk Product team as a Senior Product Manager to lead the Card Fraud team. You will build products that manage card fraud using dynamic rules, machine learning, and other signals to ensure excellent customer experience while minimizing fraud losses. Collaborate with data scientists, engineers, and risk strategists to develop and optimize the card fraud decision platform. Drive strategy and execution, prioritizing the roadmap, and keeping the team focused on delivering measurable impact. You will use qualitative and quantitative metrics to guide decision-making and ensure team ownership of product direction and results. This role requires strong data analysis skills and experience in card payments or risk management.

Requirements

• 6+ years of product management experience, with 3+ years experience within card payments, card processing, transaction risk management or other risk decisioning systems
• Strong data analysis background, preferably with experience as a Data Analyst, in addition to working with machine learning and data science teams
• Understanding of the card payment ecosystem, including card network (VISA, MasterCard) operating practices/regulations
• Proven ability to excel in ambiguous environments, and make informed trade-offs weighing risk management with customer experience
• Ability to translate a deep technical understanding of our product and partner requirements into informed prioritization decisions
• Experience working in regulated environments
• Be able to take complex problems and distill them into first principles, always keeping the end-user in mind

Responsibilities

• Lead the development and optimization of our card fraud decision platform, enabling rule creation, testing, and deployment
• Create best-in-class user experiences for customers impacted by card risk decisions, in addition to up-leveling our support tooling capabilities and procedures
• Partner closely with data science and analytics teams, driving labeling initiatives to support machine learning development
• Balance fraud prevention effectiveness with customer experience in transaction decisioning
• Develop and monitor key metrics around fraud losses, customer experience, and operational efficiency
• Collaborate with broader Risk teams to leverage and advance risk infrastructure

Preferred Qualifications

Experience with customer communication systems (SMS, mobile notifications) is a plus

Benefits

• Base salary
• Equity (stock options)
• Benefits