Stripe

Product Manager, Fraud Signals and Assessments

Stripe

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

SeniorLead

About the role

  • Define the strategy and roadmap for Stripe’s Fraud Assessment Engine, including its machine learning models, heuristic triggers, anomaly detection, and aiding in discovery of new fraud vectors\n
  • Drive the rapid creation and iteration of fraud assessment models, constantly working to push the precision-recall frontier to enhance accuracy and efficiency.\n
  • Collaborate closely with the Data teams to add to and leverage a single, shared, real-time data layer that ingests and enriches every fact relevant for fraud assessments, eliminating siloed data and compounding network effects.\n
  • Partner with the teams up the stack to translate abstract risk scores into concrete actions, managing trade-offs between precision and recall, user experience, rewards and loss avoidance.\n
  • Partner with teams up the stack to ensure assessments inform reactive controls for risky users (e.g., blocks, holds, step-ups) and proactive feature-ungating for trusted users (e.g., higher limits, instant payouts).\n
  • Act as the voice of internal and external stakeholders in product and API designs, gathering direct feedback to refine assessment capabilities.\n
  • Work with ML Engineers and data science teams to build scalable, real-time fraud assessment systems that embody Stripe’s operating principles: defaulting to minimum disruption, and resorting to explicit interventions only when confidence is high, because users are good until proven otherwise.\n
  • 8+ years in Product Management, specifically in delivering exceptional user experiences for complex and technical products.\n
  • Experience managing technical software products from kick-off to ship.\n
  • Consistent track record of leading ambitious and ambiguous 0-to-1 projects.\n
  • Strong stakeholder management, including navigating difficult situations, negotiating timelines, and influencing internal and external stakeholders across organizations and borders.\n
  • Strong communications skills – you can summarize and express complex requirements in an accessible and precise manner.\n
  • Preferably has experience in building real time ML systems\n
  • Preferably has experience with Risk systems\n
  • Experience working on fast paced teams, particularly around experimentation.\n
  • Proven experience with machine learning products, data-driven systems, and/or API platforms, particularly in risk, fraud detection, or related domains, enabling rapid model creation and iteration.\n
  • Deep understanding of fraud detection methodologies, risk scoring, or related data science concepts with an emphasis on precision and recall optimization.

Requirements

  • 8+ years in Product Management, specifically in delivering exceptional user experiences for complex and technical products.\n
  • Experience managing technical software products from kick-off to ship.\n
  • Consistent track record of leading ambitious and ambiguous 0-to-1 projects.\n
  • Strong stakeholder management, including navigating difficult situations, negotiating timelines, and influencing internal and external stakeholders across organizations and borders.\n
  • Strong communications skills – you can summarize and express complex requirements in an accessible and precise manner.