Manager I, Engineering - Anomaly Detection

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 customers to set up or configure specif...

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

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
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
Familiarity utilizing streaming technology (e.g. Flink, Kafka) is a plus

 
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.