Description
The Anomaly Detection team’s mission is to build scalable, cost-effective systems that can automatically detect anomalies in customers’ system telemetry.
You will lead and develop an existing engineering team of 8, building trust, setting technical direction, and establishing a high bar for ownership and execution.
Key responsibilities include:
- Owning the roadmap and execution for key signal finding systems
- Working closely with product management and applied scientists to build an effective detection system
- Building and operating traditional machine learning and LLM-based systems in production at scale
- Driving the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time
Requirements:
- 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
Benefits and Growth:
- 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 Community Guilds
- Free, global mental health benefits for employees and dependents
- Competitive global benefits
The reasonably estimated yearly salary for this role at Datadog is: $192,000-$240,000 USD