Manager I, Engineering - Anomaly Detection

📋 Description

• Lead and develop an existing engineering team of 8; building trust, setting technical direction
• 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
• 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

🎯 Requirements

• Experienced engineering manager with a track record of shipping robust and scalable distributed
• 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
• Direct experience building and training ML models in production environments is a plus
• Familiarity utilizing streaming technology (e.g. Flink, Kafka) is a plus

🎁 Benefits

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits