Manager I, Engineering - Anomaly Detection
Datadog has an opening for a Manager I, Engineering - Anomaly Detection in New York, New York, USA, United States. The listing describes it as a full-time, management position with hybrid working.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Datadog has an opening for a Manager I, Engineering - Anomaly Detection in New York, New York, USA, United States. The listing describes it as a full-time, management position with hybrid working.
The advert mentions Python, Java, Kafka and stakeholder management among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Benefits mentioned in the advert: health insurance, pension or retirement plan, paid time off, equity or stock options and learning budget.
Visa sponsorship is not mentioned. Applicants from outside United States should check the official work permit route before applying.
Dev Global Jobs found this job on Greenhouse on Nov 5, 2026.
- Employer
- Datadog
- Location
- New York, New York, USA, United States
- Work mode
- hybrid
- Job type
- Full-time
- Level (from the title)
- management
- Pay
- Not stated by the employer
- Found
- Nov 5, 2026 on Greenhouse
- Employer text
- 761 words, about 3 min to read
- Apply only on the official page (careers.datadoghq.com). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, Java, Kafka and stakeholder management) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 3 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
- H-1B specialty occupation: Employer petition, bachelor's degree or higher in the specialty; annual cap and lottery
- L-1 intracompany transferee: Employees of a related company abroad transferring to a US office
- O-1 extraordinary ability: Evidence of extraordinary ability in sciences, arts, education, business or athletics
About the role
Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.
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.
01What 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
02Who 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.
03Benefits 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
04About 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.
05Equal 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.
06Privacy 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.
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