Research Manager - Foundation & World Models

Datadog
Paris, France
On-site

Who this role is best for

Candidates with a PhD in Machine Learning or related fields and experience in foundation models will find this technical leadership role in a hybrid work arrangement at Datadog.

Best fit for

  • Candidates with a strong research background and team leadership experience in AI and observability domains
    — “You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience”
  • Individuals who have led large-scale deep learning projects and demonstrated technical impact through publications or open-source contributions
    — “You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements”
  • Candidates who thrive in hybrid environments and are comfortable shaping technical strategy while mentoring teams
    — “This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team”

Things to consider

  • This role demands a balance between hands-on research and team leadership responsibilities
    — “You will lead a team working on fundamental research ... while remaining deeply engaged in the technical direction of the work”
  • The position requires collaboration across multiple departments, including product and engineering
    — “Collaborate with cross-functional teams across Research, Product, and Engineering”

How to stand out

  • Highlight experience in multimodal or non-text data modeling in your resume and interview responses
    — “Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities”
  • Emphasize your ability to translate research into practical product capabilities
    — “Collaborate with cross-functional teams ... to translate research advances into scalable Datadog capabilities”
  • Showcase your history of leading and mentoring technical teams in your application materials
    — “You have experience leading, mentoring, and developing teams of researchers or engineers”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • lead research in foundation models and world models
  • guide and mentor researchers
  • train large-scale multimodal models
  • advance approaches to pre-training
  • collaborate with cross-functional teams
Typical background
PhD in Computer Science, Machine Learningdeep expertise in foundation models, world models, multimodal learning

Skills & requirements

Required

AI ResearchFoundation ModelsWorld ModelsMultimodal LearningPre-trainingRepresentation LearningWorld ModelingScalingEvaluationLarge-scale Deep Learning ModelsMultimodal DataNon-text DataResearch PublicationsCross-functional Collaboration

Preferred

Open-source ContributionsTop-tier Conference Presentations

Stack & domain

Foundation ModelsWorld ModelsMultimodal LearningPre-trainingRepresentation LearningWorld ModelingScalingEvaluationObservabilitySecurityLarge Language ModelsMultimodal DataNon-text DataResearch PublicationsTop-tier ConferencesTechnical LeadershipTeam MentoringResearch StrategyTechnical Problem-solvingCross-functional CollaborationResearch ImpactTechnical CommunicationProduct DevelopmentAI ResearchMachine LearningDistributed Systems

About the role

Original posting from Datadog

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You'll Do:

Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security

Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving

Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities

Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems

Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities

Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks

Who You Are:

You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling

You have demonstrated the ability to lead technically ambitious research at meaningful scale, whether in an industry research lab, startup, academic environment, or another research setting

You have extensive hands-on experience designing, training, or evaluating large-scale deep learning models (such as large language models), with experience in multimodal or non-text data considered a strong plus

You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements

You have operated at a senior technical level and have experience leading, mentoring, and developing teams of researchers or engineers, while remaining deeply hands-on in technical direction and execution

You want to develop and support a research team while maintaining a strong technical identity, and you can communicate complex research findings effectively across technical and non-technical audiences

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:

High income earning opportunities based on individual performance

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

Continuous professional development, product training, and career pathing

Sales training in MEDDIC and Command of the Message

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 Spring Health benefits for employees and dependents age 6+

Competitive global benefits

Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Onsite

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.

Source: Datadog careers

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