KeyStep

Manager I, Engineering - AI Platform - Training & Serving

Datadog
Paris, France
6 days ago
full-time

Skills & Technologies

BackendSoftware EngineeringDatadogRoadmapTrainingAICustomer FocusResearch

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 bui

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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