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StripeStripe

Specialist Solutions Architect, Radar (Fraud/Risk)

Serves as subject matter expert on Stripe Radar, collaborating with sales and product teams to drive revenue, advise on fraud/risk strategies, and influence product roadmap. Requires 7+ years in fraud prevention or risk management with deep ecosystem knowledge.

About the job

Responsibilities

  • Act as a Subject Matter Expert on Stripe's Radar product suite to accelerate opportunities globally.
  • Demonstrate a deep understanding and point of view on trends in the fraud and risk management ecosystem, including AI-powered detection, processor-agnostic architectures, and the shift from payment fraud to holistic business risk (e.g., policy abuse, account takeover, first-party misuse).
  • Develop expertise with the functional and architectural patterns for deploying advanced fraud systems, including the lifecycle of rule management, ML model tuning, and manual review optimization.
  • Understand the ecosystem of risk and identity integrations (e.g., device fingerprinting, identity verification, bot mitigation, case management) Stripe must support for our users to be successful.
  • Define, share, and learn best practices and re-usable assets with the broader GTM organization to enhance the quality and efficiency of the team.
  • Create reference architectures to uplevel the team and refine reference solutions based on product enhancements and feedback from customers.
  • Partner closely with the Radar product sales team and be an active part of the opportunity team for Stripe’s largest and most complex Radar customers to lead strategy and own key customer relationships.
  • Partner closely with the Radar product team to get early exposure to the new products and features.
  • Serve as a “Voice of the Customer” internally to drive product and feature request prioritization, providing actionable insights on the competitive landscape and emerging fraud vectors.
  • Act as an escalation point to drive our most complex technical issues to resolution with Stripe’s engineering team.
  • Support the customers and Stripes on account or deal strategy, and answer product feature and technical questions.
  • Deeply understand the sales process for the product and provide the Sales team with tools and training to qualify potential leads.
  • Stay current on competitive analysis and market differentiation.
  • Support marketing events including executive briefings, conferences, user groups, and trade shows.

Minimum Requirements

  • 7+ years of experience in a pre-sales, technical consulting, product, or risk strategy role focused on e-commerce fraud prevention, risk management, or trust & safety.
  • Deep working knowledge of the fraud and risk ecosystem, including payment fraud (CNP), account takeover (ATO), first-party misuse (friendly fraud), and policy/content abuse.
  • Demonstrated knowledge of risk management architectures, including the role of rules engines, machine learning models, and manual review queues in fraud decisioning.
  • Strong knowledge of the signals and data used in fraud detection, such as device/IP data, behavioral biometrics, identity verification, and graph-based analysis.
  • Strong knowledge of software engineering and architecture patterns, with the ability to understand how a wide variety of technologies and systems interact with each other.
  • Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex concepts to both technical and non-technical audiences.
  • Interest in solving open ended business problems with a combination of technology and creative thinking.
  • A proven ability to build strong collaborative working relationships with business partners.
  • Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.

Preferred Qualifications

  • Experience integrating Stripe or other RESTful APIs into web applications.
  • Experience with processor-agnostic fraud solutions and multi-processor payment environments.
  • Experience with risk management for various business models, such as platforms/marketplaces, subscription services, and digital goods/SaaS.
  • Familiarity with liability shift programs (e.g., chargeback guarantees) and value-based pricing models for risk products.
  • Understanding of how to extend fraud protection beyond payments to other products like payouts (Issuing), physical payments (Terminal), or recurring billing (Billing).
  • Experience as a subject matter expert in a relevant industry, vertical or product.

Skills

Stripe Radar, Fraud Detection, Risk Management, Machine Learning, Rules Engines, REST APIs, Device Fingerprinting, Identity Verification, Payment Fraud, Account Takeover

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