Engineering Manager | Payments, Abuse, and Conversion
HybridLondon, England, United Kingdom
Job Summary
Lead a distributed engineering team within the PAC unit, owning the full customer journey from activation through paid conversion while maintaining robust fraud and abuse prevention. Establish a predictable agile delivery cadence, partner with Product to define the quarterly roadmap, and guide architectural decisions for payments and fraud infrastructure. Balance conversion optimization with fraud prevention by making data-informed trade-offs across bot protection, rate limiting, and abuse detection to protect revenue. Serve as the primary technical representative in cross-functional discussions, articulating technical trade-offs in commercial terms to product, finance, and engineering stakeholders.
Required Qualifications
- Proven experience in direct people management, leading engineering teams through growth, performance challenges, and organisational change
- Significant hands-on experience as a Senior or Staff-level backend engineer
- Proven hands-on experience building or managing payment gateway integrations, checkout flows, or billing infrastructure at production scale
- Sufficient depth in fraud prevention, abuse detection, rate limiting, or bot protection to guide architectural decisions across a complex, multi-layered fraud stack
- Proven experience designing, building, and operating scalable, highly available distributed systems in a cloud-native environment
- Demonstrable experience with cloud platforms (preferably AWS), containerisation (Docker, Kubernetes), and API design (gRPC, REST)
- Hands-on experience with both relational and NoSQL databases
- Deep commitment to the growth and well-being of your team, with proven experience in coaching, mentorship, and performance management
- Comfort interrogating funnel metrics, conversion data, and fraud loss reporting to drive prioritisation decisions and communicate impact to stakeholders
- A pragmatic approach to balancing technical excellence with the practical need to ship, with a track record of delivering in high-stakes, fast-moving environments
- Must be able to lift 50 lbs
Desired Qualifications
- Familiarity with machine learning-based fraud detection or risk scoring systems
- Demonstrated experience with event-based processing and messaging systems such as Kafka
- Experience owning or contributing to activation, retention, or monetisation metrics in a B2C or PLG SaaS context
- Proven track record of hiring and onboarding software engineers in a distributed team environment
- Strong experience with CI/CD pipelines, infrastructure scaling, and cloud migration
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