Manager I, Engineering - Anomaly Detection
Core
Lead an engineering team to build scalable, cost-effective systems that automatically detect anomalies in customer system telemetry using distributed systems and machine learning.
Role type
Senior Engineering Manager (Anomaly Detection & ML Systems)
Builds
Scalable signal finding systems, traditional ML models, and LLM-based systems for proactive problem detection
Domain
Observability, Distributed Systems, Machine Learning
Deliverable
production ML models
Required skills
Engineering management, distributed systems architecture, Java/Python/Go, product strategy in ambiguous environments, cross-team collaboration
Preferred skills
Building/training ML models in production, streaming technology (Flink, Kafka)
Responsibilities
Lead and develop an existing engineering team of 8, own the roadmap for key signal finding systems, work with product management and applied scientists to build detection systems, build and operate ML and LLM systems at scale, drive AI-native development practices
Seniority
Senior, hands-on IC with management responsibilities
