Product Manager, Stripe

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

Desirable

• The Fraud organization at Stripe envisions Stripe as the internet’s most trusted financial network
• Our mission is to make that trust scale to every transaction, every user, every product, and every market Stripe serves
• We achieve this by building real-time, self-learning systems that block fraud and reward trust, servicing Persons, Merchants, Platforms, and the Stripe network itself
• Fraud Assessments is a core pillar within this framework, responsible for transforming raw signals into normalized fraud assessments
• We strive to separate measurement from policy from action, enabling rapid model creation and iteration, pushing the precision-recall frontier, and exposing our outputs via APIs
• This role is pivotal in upholding Stripe’s brand and protecting the entire ecosystem from portfolio-level systemic risks down to individual transactions
• 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
• Drive the rapid creation and iteration of fraud assessment models, constantly working to push the precision-recall frontier to enhance accuracy and efficiency
• 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
• 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
• 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)
• Act as the voice of internal and external stakeholders in product and API designs, gathering direct feedback to refine assessment capabilities
• 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