Synced from Greenhouse · Jun 11

Engineering Manager

DatadogParis, FrancePosted Jun 11, 2026
Engineering ManagerMid
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Mirrored from Datadog's own Greenhouse careers system · refreshed hourly

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Jun 11
Posted
Greenhouse
Applicant system
Job descriptionReq 7965428

The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research

As an engineering manager for the Evaluation & Annotation team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. 

You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. 

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: 

  • Manage and grow the Evaluation & Annotation team, directly managing 4-6 engineers

  • Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. 

  • Work with our core platform teams to tailor Datadog's storage and data pipelines to our needs

  • Create a strong team culture aligned with our engineering standards and our customer focus

  • Participate in hands-on work: Code reviews, design reviews and some coding

 

Who You Are: 

  • A Software Engineer at heart with a previous experience leading software engineering teams, as a tech lead or people manager

  • Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams

  • Interested in working on an early stage project with many challenges to solve and a fast iteration cycle

  • You have a track record of delivering high-quality software on schedule and collaborating closely with product partners.

  • Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader

  • 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. 

 

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)

  • Access to Inclusion Talks, our Internal panel discussions

  • 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.

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.

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What applying to Datadog usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Datadog can generally expect a process consistent with common greenhouse-based hiring workflows. This typically starts with an online application and resume screen, followed by a recruiter phone screen to discuss background and role fit. Depending on the position, candidates may encounter multiple stages such as hiring manager conversations, technical or skills-based assessments, and panel interviews with cross-functional team members. Take-home exercises or case studies may be used for certain technical or analytical roles. Response times vary and communication is often managed through automated greenhouse notifications alongside recruiter outreach. Candidates should prepare to discuss relevant experience, technical competencies, and cultural fit, as final decisions commonly involve input from multiple interviewers before an offer is extended.

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Engineering Manager
Datadog · Paris, France
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