Manager I, Engineering - Anomaly Detection
New York · Boston · Texas · USD 192,000-240,000 / year · Full-time · Posted Oct 6, 2026
At a glance
- Employment
- Full-time
- Location
- New York · Boston · Texas
- Salary
- USD 192,000-240,000 / year · OTE
About Datadog
- Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
About the role
- The Anomaly Detection team builds scalable, cost-effective systems that automatically detect anomalies in customer system telemetry.
- The role involves leading and developing an existing engineering team of 8, owning the roadmap, and working at the intersection of distributed systems and machine learning.
Responsibilities
- 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
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 rather than executing a pre-defined roadmap
Preferred qualifications
- 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 groups)
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
- Healthcare, dental, parental planning, and mental health benefits
- 401(k) plan and match
- Paid time off
- Fitness reimbursements
Workplace
- Operates as a hybrid workplace to ensure employees can create a work-life harmony that best fits them
Skills
- Java
- Python
- Go
- Flink
- Kafka
