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Riskified

eCommerce fraud prevention and revenue protection

Software Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, Israel

About the Job

Requirements

  • At least 3 years of experience managing a team of engineers who operate services in production.
  • At least 7 years of hands-on experience developing high-scale backend distributed systems or microservices.
  • Experience leading senior, experienced engineers, with the technical depth to guide architecture and design discussions.
  • A strong track record of working with stakeholders across functions, especially Product and Data Science.
  • A proven interest in emerging AI tools and a track record of using them to improve workflows or products.
  • Experience working in an Agile environment with a full CI/CD and DevOps culture.
  • Experience with cloud-native microservices, SaaS environments, and event-driven architectures.
  • Strong communication skills, including the ability to explain complex technical topics to non-technical stakeholders.
  • A B.Sc. in Computer Science or equivalent degree or experience.

Responsibilities

  • Lead the team in delivering high-quality products to production and own the health of business-critical, real-time services.
  • Scale the product as it grows into new use cases, merchants, and integrations.
  • Work with Product Managers to shape the roadmap and turn business opportunities into clear plans.
  • Partner with Data Science, analytics, and data platform teams so models and data move reliably between research and production.
  • Align priorities and dependencies across teams, including operational teams that serve merchants.
  • Find and adopt AI-driven tools and methods to make the team more productive and the product more capable.
  • Mentor senior engineers, give them real ownership, and grow future technical leaders.
  • Provide consultation and solutions to customers and management on real business problems.

Desired Qualifications

  • Background in fraud, risk, e-commerce, or payments.
  • Experience with data-intensive or machine-learning-driven products, such as working alongside Data Science.
  • Experience working with large enterprise customers.

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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