Manager I, Engineering - AI Platform - Training & Serving
DatadogParis, FrancePosted 24 February 2026
Job Description
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 Training Serving 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: distributed training of foundation models, serving at scale, designing the user experience.
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 Training Serving team, directly managing 10+ 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, infrastructure 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:
Previous experience (1+ years) leading software engineering teams, as a tech lead or people manager
Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader
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 build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders
You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments
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
#LI-Hybrid
About Datadog:
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 ... (truncated, view full listing at source)
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