Member of Technical Staff - Software Engineer, Fraud Prevention

About the role

Perplexity's fraud prevention team protects its products, users and infrastructure from fraud and abuse across the full lifecycle: sign-up, authentication, payments, API usage and product features. It builds and operates a real-time decisioning platform with data pipelines for detection and model training, integrations with product and payment systems, and internal tools for investigation and response. As a software engineer you will own services end to end, from design to production operations, working closely with fraud analysts, ML engineers and product teams.

Key responsibilities

• Design, build and operate high-throughput, low-latency backend services for fraud detection and prevention
• Build data pipelines and real-time feature computation powering detections and ML models
• Collect and process trust signals
• Integrate fraud decisions into product, authentication and payment flows
• Own production reliability: observability, alerting, safe rollouts and incident response
• Build internal tooling for investigation, enforcement and auditability
• Partner with fraud analysts to turn new abuse patterns into production detections quickly

Required profile

• 5+ years building and operating high-throughput, latency-sensitive backend systems in production
• Strong systems programming skills; Rust, Go or C++ experience preferred (the team writes Rust)
• Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely

Nice to have

• Fraud prevention, anti-abuse or payments-risk domain experience
• Experience serving ML models in production
• Client-side experience (web or mobile) for signal collection