DoorDash is looking for an Engineering Manager to lead the Consumer Fraud team. This team builds AI-first fraud prevention systems, spanning LLM-powered decisioning, machine learning models, and real-time risk platforms that protect the customer experience at scale. You will be instrumental in: Enhancing Customer Trust: Deliver seamless, high-quality experiences while leveraging LLM reasoning and ML models to detect abuse and protect customer interactions in real time. Combating Fraud with AI: Design and deploy machine learning and LLM-powered systems that understand complex user behavior, detect emerging fraud patterns, and automate enforcement with high precision. Automating and Scaling Fraud Operations: Build agentic workflows and AI-assisted review systems that reduce manual effort, accelerate investigations, and continuously improve through feedback loops. Developing Intelligent, Scalable Platforms: Create reusable, platformized fraud systems that combine real-time signals, model outputs, and LLM-based decisioning to enable rapid experimentation and deployment across teams. As an Engineering Manager, you will partner closely with Product, Design, Analytics, and Operations to define and execute an AI-driven fraud roadmap with minimal user friction. You will lead a team of engineers to build scalable, intelligent systems and solve complex challenges at the intersection of ML, LLMs, and distributed systems.
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Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees