Manager I, Engineering - Anomaly Detection

Posted Yesterday
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New York, NY, USA
Hybrid
192K-240K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
Leads an eight-person anomaly detection engineering team, setting technical direction, owning roadmap execution, and delivering scalable signal-finding systems. Partners with product managers and applied scientists to evaluate detection quality. Builds and operates traditional machine learning and LLM systems in production, drives AI-native development practices, and establishes standards for safety, validation, ownership, and execution.
Summary Generated by Built In

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.

Skills Required

  • Engineering management experience with a track record of shipping robust, scalable distributed systems with AI or machine learning components
  • Distributed systems experience
  • Experience with Java, Python, or Go
  • Experience working in a platform-focused engineering team
  • Strong cross-team collaboration and stakeholder management skills
  • Ability to contribute to product strategy in an ambiguous environment
  • Direct experience building and training machine learning models in production environments
  • Familiarity with streaming technologies such as Flink or Kafka

What the Team is Saying

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Datadog Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is characterized as comprehensive and well-regarded, with robust medical, dental, and vision plans alongside accessible mental-health support for employees and dependents. Plan affordability and company contributions are noted as practical strengths.
  • Parental & Family Support — Parental leave is presented as fully paid and gender-neutral, complemented by family-forming benefits such as fertility, adoption, preservation, and surrogacy in eligible locations. Additional elements like childcare assistance and pet-related perks broaden the family support offering.
  • Equity Value & Accessibility — Equity participation is readily available through new-hire RSUs and a discounted employee stock purchase plan. This ownership pathway is paired with financial wellness resources that reinforce long-term value.

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The Company
HQ: New York, NY
6,500 Employees
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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