The opportunity
The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our…
What you'll do
Lead and develop an existing engineering team of 8; building trust, setting: technical direction, and establishing a high bar for ownership and execution
Own the roadmap and execution for our key signal finding systems
Work closely with product management and applied scientists to build an: effective detection system and the right evaluation mechanisms to ensure the quality of our signals
Build and operate both traditional machine learning and LLM based systems in production at scale
Drive the team's AI-native development practices, setting high standards for: safety, validation, and increasing agent autonomy over time
Experienced engineering manager with a track record of shipping robust and: scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have
What they're looking for
- Experience with Java, Python or Go, and experience working in a platform-focused team
- Strong cross-team collaboration and stakeholder management skills
- Comfortable making significant contributions to product strategy in an: ambiguous environment rather than executing a pre-defined roadmap
- Direct experience building and training ML models in production environments is a plus
