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Riskified

eCommerce fraud prevention and revenue protection

Integrations Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Candidates must be currently authorized to work in the United States on a full-time basis without employer visa sponsorship.
  • At least 4 years of experience as an Integrations Engineer, Solution Engineer, or Senior Technical Manager collaborating with multiple business and technical teams; B2B SaaS experience is ideal.
  • Experience working with databases and querying languages such as SQL.
  • Ability to troubleshoot complex, multilayered technical problems and maintain internal and external stakeholder relationships.
  • Technical background in API integrations, including comfort reading logs and source code.
  • Substantial experience in a client-facing technical role, including face-to-face meetings and presales activities with enterprise merchants.
  • Experience planning, leading, and executing technical projects with enterprise clients.
  • Strong written and verbal communication skills.

Responsibilities

  • Develop a deep understanding of the system and product capabilities.
  • Provide end-to-end technical and operational integration support for new clients throughout onboarding.
  • Partner with Sales and Account Management in presales and post-sales efforts as a subject matter expert.
  • Build, monitor, and execute joint integration project plans across multiple clients and integrations.
  • Maintain and update public-facing SDKs, APIs, and technical integration guides.
  • Relay client feedback and provide technical influence on product roadmaps and development.
  • Own technical aspects of various plug-ins and extensions, and collaborate with developers to resolve commercial issues.

Desired Qualifications

  • B2B SaaS experience.

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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