Key skills
Data EngineeringSaaSCommunicationCollaboration
About this role
Role Overview
- Lead the implementation and ongoing improvement of abuse detection services and customer account security features
- With assistance of team manager, implement a home-grown risk decision engine
- Build and maintain APIs to support extensible, low-latency risk decisioning
- Research and analyze abuse tools and attacker tactics to inform detection strategies
- Participate in fraud incident triage and lead development of mitigations and remediation
- Collaborate with Data Science and Data Engineering on model feature design
- Work closely with Fraud Operations and Application Security to align detection and response
- Stay informed on fraud prevention trends and apply relevant insights internally
Requirements
- 5+ years building production backend systems in a SaaS or similar environment
- Experience designing scalable backend services; exposure to risk or decisioning systems a plus
- Proven track record of designing customer-first features
- Ability to explore and validate ideas using imperfect or partially structured data
- Strong foundation in secure system design and layered defenses
- Comfortable presenting designs to both technical peers and senior stakeholders
- Familiarity with common abuse vectors, evasion techniques, or scraping patterns
- Strong ownership mindset and ability to prioritize effectively
- Fraud, trust & safety, or security-adjacent experience preferred
- Clear written and spoken English communication.
Benefits
- We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact.
- Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed.
- We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.