Airwallex-posted 3 months ago
Full-time • Senior
San Francisco, CA
1,001-5,000 employees

As a Senior Engineering Manager, you will lead our Transaction Risk engineering group. You will own the strategy, roadmap, and delivery of real-time detection systems that protect customers and revenue at global scale. This is a hands-on leadership role: you will shape architecture and execution while developing managers and senior engineers to do the best work of their careers. Provide strategic leadership for a mission-critical fraud and risk platform, aligning technical direction and capacity planning with business goals and regulatory requirements. Build and scale a high-performing engineering organization (including managers and senior ICs): set goals, establish career paths, run performance and compensation processes, and cultivate a culture of ownership, inclusion, and excellence. Partner closely with Product Management to define the roadmap, prioritize a measurable backlog, and deliver outcomes that improve detection rates, reduce false positives, and minimize chargebacks. Serve as the accountable owner for architecture and system quality across services, ensuring reliability, scalability, and cost efficiency for real-time decisioning under high load. Remain hands-on where it matters: guide designs, review critical code and APIs, and de-risk complex initiatives with pragmatic technical deep dives. Drive design and code quality: institute standards, reviews, and automated checks that raise the bar without slowing teams down. Champion ML-in-production best practices: model serving, feature stores, rule engines, A/B experimentation, data quality SLAs, and human-in-the-loop feedback. Ensure cross-team collaboration with platform, data, SRE, security, and global engineering teams; remove blockers and foster clear interfaces, SLAs, and ownership. Own operational excellence: on-call readiness, incident response, postmortems, observability, capacity planning, and continuous reliability improvements. Lead talent strategy: recruit, onboard, and develop engineers and managers; build diverse teams and succession plans for sustained velocity.

  • Lead the Transaction Risk engineering group.
  • Own the strategy, roadmap, and delivery of real-time detection systems.
  • Provide strategic leadership for a mission-critical fraud and risk platform.
  • Build and scale a high-performing engineering organization.
  • Partner closely with Product Management to define the roadmap.
  • Serve as the accountable owner for architecture and system quality.
  • Remain hands-on in guiding designs and reviewing critical code.
  • Drive design and code quality through standards and automated checks.
  • Champion ML-in-production best practices.
  • Ensure cross-team collaboration with various engineering teams.
  • Own operational excellence including incident response and observability.
  • Lead talent strategy for recruiting and developing engineers and managers.
  • 10+ years in back-end engineering with 4+ years in engineering management.
  • Proven experience in online payments and payment fraud detection.
  • Working knowledge of machine learning in production.
  • Bachelor’s degree in Computer Science or related field.
  • Proficiency in Java, including multi-threading and network programming.
  • Deep experience with distributed systems and high-availability architectures.
  • Proficiency with Spring / Spring Boot, HTTP, TCP/IP, REST.
  • Practical experience with Docker and Kubernetes.
  • Leadership across multiple disciplines with managers-of-managers scope.
  • Fluency in English for effective collaboration.
  • Familiarity with modern data and storage technologies.
  • Polyglot engineering with one or more of Kotlin, Scala, Python, Golang.
  • Cloud experience with Alibaba Cloud, AWS, or GCP.
  • Background with risk-specific components.
  • Awareness of regulatory and security standards relevant to payments.
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