Manager I, Engineering, Anomaly Detection

What you'll do

• Lead and develop an engineering team of 8 by setting technical direction and high execution standards.
• Own the roadmap and execution for key signal finding systems.
• Partner with product management and applied scientists to build detection systems and quality evaluation mechanisms.
• Build and operate traditional machine learning and LLM-based systems in production at scale.
• Drive AI-native development practices, focusing on safety, validation, and increasing agent autonomy.
• Contribute to product strategy within an ambiguous environment to define the technical roadmap.

What we're looking for

• Experience as an engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components.
• Experience with Java, Python, or Go.
• Experience working in a platform-focused team.
• Strong cross-team collaboration and stakeholder management skills.
• Ability to contribute to product strategy in an ambiguous environment.
• Direct experience building and training ML models in production environments (preferred).
• Familiarity utilizing streaming technology such as Flink or Kafka (preferred).