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Riskified

eCommerce fraud prevention and revenue protection

Payment Fraud Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • At least 3 years of experience as a Product Manager working with complex data and analytics solutions.
  • Proven experience working with operational teams as users in an analytics-based B2B product.
  • Ability to envision, work with product designers, and run the development of a complex system user interface, with a focus on intuitive user experience.
  • Familiarity with artificial intelligence-based products and technologies.
  • Bachelor of Science in Computer Science or a relevant degree.

Responsibilities

  • Build the next generation of the analytical performance platform to automate and optimize analytics processes, creating control and visibility and delivering business results.
  • Collaborate with analytics and operations teams to define their needs and brainstorm potential solutions.
  • Partner with Data Science teams to translate business requirements into technical solutions and drive development of advanced machine-learning-based fraud detection capabilities.
  • Work with clients to understand their business needs and define creative solutions.
  • Own the Analytics Applications roadmap to meet business goals, performing hands-on, end-to-end product management with developers and data scientists.
  • Define and own key performance indicators that measure solution accuracy and impact.
  • Lead planning, scoping, and prioritization of new capabilities to achieve business goals.
  • Define the vision and strategy for the analytical delivery of the machine-learning-based fraud management offering.
  • Design products and processes to execute the strategy, automate and optimize complex analytical processes, and develop the next-generation analytical performance platform.
  • Work with data scientists to solve optimization problems.
  • Define approaches and tactics for fraud experts and analysts in operations teams to deliver analytical performance for eCommerce companies.
  • Engage internal and external users to identify challenges and opportunities to increase solution value.
  • Align stakeholders on solutions and build solutions for large-scale fraud optimization challenges in an artificial-intelligence-based system.

Desired Qualifications

  • Experience mentoring fellow product managers.
  • Experience in business-to-business settings at software-as-a-service companies.
  • Experience with eCommerce, financial technology, online payments, or fraud.

About the Company

Riskified

eCommerce fraud prevention and revenue protection

Riskified helps online merchants protect revenue and prevent fraud in ecommerce by using machine-learning models to approve or block transactions in real time before they reach the bank. Its products include pre-authorization decisions and Dynamic Checkout that adjusts the checkout experience based on each shopper’s risk level, reducing friction for legitimate customers while flagging suspicious activity. The company differentiates itself with real-time, pre-authorization ML decisions that tie fraud protection directly to revenue growth and a checkout experience that adapts to risk, scalable for merchants expanding into new markets. Its goal is to help merchants grow revenue and improve customer satisfaction by preventing fraud, lowering false declines, and streamlining the digital checkout process.

Company size
501-1,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2013

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