Manager I, Engineering - Anomaly Detection

Datadog, Inc.; New York (NY); Hybrid; USD 192,000 - 240,000; Full time

Benefits offered by this job

RSUs

ESPP

Career development

Mentor program

Inclusive culture

Mental health benefits

401(k) with match

Job summary

Datadog is seeking an experienced engineering manager to lead an 8-person team focused on anomaly detection signals. You will own the roadmap, collaborate with product management and researchers, and deliver scalable ML/LLM systems in production.

The role requires leadership in distributed systems with AI components and hands-on experience with streaming tech. Hybrid work model offered in New York area.

Qualifications

• Experienced engineering manager with a track record shipping robust distributed systems with AI/ML components.
• Strong cross-team collaboration and stakeholder management skills.
• Direct experience building and training ML models in production environments is a plus.
• Familiarity with streaming technologies such as Flink and Kafka is a plus.

Responsibilities

• Lead and develop an existing engineering team of 8; building trust, setting technical direction, and owning execution.
• Own the roadmap and execution for key signal finding systems.
• Collaborate with product management and applied scientists to ensure quality of signals.
• Build and operate ML and LLM-based systems in production at scale.
• Drive AI-native development practices with strong safety and validation standards.

Skills

Distributed systems

AI/ML components

Leadership

Cross-team collaboration

Product strategy

ML models training

Streaming technologies

Tools

Flink

Kafka

Job description

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 specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need.

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.

What You’ll Do:

• 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

Who You Are:

• 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.

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 our Community Guilds (Datadog employee resource groups)
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is: $192,000 — $240,000 USD

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.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

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Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.