Member of Technical Staff Software Engineer Fraud Prevention
PerplexityVisit Perplexity website
Perplexity is an AI-powered answer engine that provides real-time, cited answers and research capabilities.
San Francisco, United States
Funding history
About Perplexity
Private AI company founded in 2022. Its products combine conversational search and research with cited web sources; it also offers developer-facing Search, Agent, Router, and Embeddings APIs.
Skills
About the Role
You will design, build, and operate backend services for fraud detection and prevention. You will create data pipelines and real-time features, process trust signals, integrate fraud decisions into product and payment flows, maintain production reliability, build investigation tooling, and turn abuse patterns into production detections.
Requirements
- 5+ years building and operating high-throughput latency-sensitive backend systems in production
- Systems programming skills
- Experience with Rust, Go, or C++
- Experience with Kubernetes, Terraform, and cloud infrastructure
- Knowledge of stream and batch computation, caching, and storage trade-offs
- Ability to ship incrementally, measure results, and ensure failures degrade safely
Responsibilities
- Design, build, and operate high-throughput low-latency backend services for fraud detection and prevention
- Build data pipelines and real-time feature computation for detections and machine learning models
- Collect and process trust signals
- Integrate fraud decisions into product, authentication, and payment flows
- Maintain production reliability through observability, alerting, safe rollouts, and incident response
- Build internal tooling for investigation, enforcement, and auditability
- Turn new abuse patterns into production detections
