Manager I, Engineering - Anomaly Detection

Datadog
New York, NY
Hybrid

In the 12 months to 30 Jun 2026, Datadog filed 4 H-1B positions titled "Manager I, Engineering". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Engineering professionals with distributed systems experience and AI/ML expertise will find this role at Datadog in New York offers a chance to lead in a hybrid workplace setting.

Best fit for

  • Candidates with team leadership experience and a background in AI-native systems development
    — “Lead and develop an existing engineering team of 8; building trust, setting technical direction”
  • Individuals who have experience building and training ML models in production environments
    — “Direct experience building and training ML models in production environments is a plus”
  • Professionals comfortable with platform-focused engineering and working in ambiguous environments
    — “Experience with Java, Python or Go, and experience working in a platform-focused team”

Things to consider

  • The role requires a hybrid workplace arrangement with in-office collaboration emphasis
    — “We operate as a hybrid workplace to ensure our employees can create a work-life harmony”
  • Candidates must be prepared to influence product strategy in a dynamic environment
    — “Comfortable making significant contributions to product strategy in an ambiguous environment”

How to stand out

  • Highlight your experience in leading teams and driving AI-native development practices
    — “Drive the team's AI-native development practices, setting high standards for safety”
  • Showcase your ability to build scalable systems with AI and ML components
    — “Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components”
  • Emphasize your cross-functional collaboration experience with product and science teams
    — “Work closely with product management and applied scientists to build an effective detection system”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Building a high-performing engineering team
  • Developing robust and scalable systems
  • Improving anomaly detection
Typical background
Engineering managementDistributed systems

Skills & requirements

Required

Engineering ManagementDistributed SystemsMachine LearningTeam LeadershipTechnical DirectionAi-native DevelopmentProduction Systems

Preferred

LLM ExperienceStreaming Technology

Stack & domain

JavaPythonGoFlinkKafka

About the role

Original posting from Datadog

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. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

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.

Source: Datadog careers

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