Manager I, Engineering - AI Platform - Training & Serving

United States Digital Space LLC; Paris (TX); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Professional development

Mentor and buddy program

Inclusive culture and ERGs

Global mental health benefits

Competitive global benefits

Job summary

Datadog is seeking an engineering manager for the Training & Serving team. You will lead a growing group of engineers, define the technical vision, and drive the roadmap for AI platform scale.

You'll partner with cross-functional teams to scale data pipelines, storage and infrastructure, while maintaining a hands-on leadership style and a strong team culture that emphasizes quality and customer focus. This role blends leadership with technical contribution, including code reviews, design

Qualifications

• 1+ years leading software engineering teams as a tech lead or manager.
• Hands-on leader with backend, data, and infrastructure experience.
• Proven track record delivering high-quality software on schedule.
• Strong interpersonal skills and ability to coordinate with multiple stakeholders.
• Interest in early-stage projects and fast iteration cycles.

Responsibilities

• 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 the company'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

Skills

Team leadership

Backend engineering

Data engineering

Infrastructure experience

Hands-on coding

Cross-functional collaboration

AI tooling familiarity

Tools

AI coding tools

Job description

The AI platform is responsible for all AI infrastructure across the company. 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 the company infrastructure & tooling teams to build out systems from the ground up.

*At the company, 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 the company'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

• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

• Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

*the company 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 (the company 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 the company*

#LI-Hybrid

About the company:

the company 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, the company enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and the company Learning Center.

Equal Opportunity at the company:

the company 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.

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