All active MLOps roles based in France.
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work from France or any country in the Iberian Peninsula (Spain, Portugal, or Andorra).
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.
Your responsibilities will include:
• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.
We expect you to have:
• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.
It will be an added bonus if you have:
• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).
About Nebius
Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training.
Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).
Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East.
Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day.
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.
You’re welcome to work on-site in Amsterdam or remotely from any other EU country.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Preferred tooling:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.
Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.
This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.
You’re welcome to work from our office in Amsterdam or remotely from any EU country.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Share this job
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.
You’re welcome to work remotely from Europe.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
Share this job
The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.
As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.
Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.
This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
We act with urgency.
We recognize that change is constant, and we find joy and power in exploration.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We love the power of machines but we nurture each other as humans.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
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Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.
L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.
Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.
Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.
Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.
Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.
Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.
Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.
Tu auras l’opportunité de :
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
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L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.
Rejoins une équipe dynamique d'une dizaine d'expert·es data (Data Scientist, ML Engineer, Data Analysts, Analytics Engineer) au cœur de la stratégie technologique de Decathlon. Notre mission est de construire des plateformes scalables pour transformer l'expérience client et sécuriser nos opérations. Nous relevons des défis passionnants tels que la modération automatique d'avis et la lutte contre la fraude, avec un impact direct sur des millions d'utilisateurs·trices à travers le monde. Chez nous, l'innovation se conjugue avec l'esprit d'équipe et le droit à l'erreur pour grandir ensemble.
En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data.
Tes missions principales incluront :
Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.
🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :
1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.
Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.
C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Ready to apply?
Apply to Decathlon Digital FR
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The AI Platform owns Datadog’s entire AI stack—everything from distributed training infrastructure (for our SOTA models) to the frameworks that power Bits AI, LLMObs, and the next wave of generative‑AI experiences. We’re expanding beyond model creation to the tooling that lets engineers ship production‑grade GenAI systems: retrieval‑augmented pipelines, autonomous agents, and evaluation harnesses.
We’re looking for a Senior Engineer to design and build this next‑gen platform, partner with Applied AI, product, and core‑infra teams to deliver:
Large‑scale experimentation, training, deployment, and monitoring
Developer toolchains for agents and other GenAI applications
Low‑latency serving infrastructure that plugs AI features into any Datadog product
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:
Who You Are:
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:
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 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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Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.
Your main responsibilities will include:
Delivering end-to-end AI projects
Driving technical excellence
Being a trusted advisor for clients and teams
Contributing to team and knowledge development
Qualifications - What we are looking for
In addition to technical expertise, we value individuals who can:
Our recruitment process
At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
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Apply to Welcome to the JungleShare this job
Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.
Your main responsibilities will include:
Delivering end-to-end AI projects
Driving technical excellence
Being a trusted advisor for clients and teams
Contributing to team and knowledge development
Qualifications - What we are looking for
In addition to technical expertise, we value individuals who can:
Our recruitment process
At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
Ready to apply?
Apply to LinkedIn Job WrappingShare this job
Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.
Your main responsibilities will include:
Delivering end-to-end AI projects
Driving technical excellence
Being a trusted advisor for clients and teams
Contributing to team and knowledge development
Qualifications - What we are looking for
In addition to technical expertise, we value individuals who can:
Our recruitment process
At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
Ready to apply?
Apply to ArtefactDataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.
How you'll make an impact
What you'll need to be successful
How you'll stand out
What does the hiring process look like? #LI-Hybrid #LI-AN1
#LI-JR1
Ready to apply?
Apply to Dataiku
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At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Machine Learning Engineer, you'll play a critical role in developing and implementing cutting-edge AI solutions that will simplify the access and quality of care for all.
In this role, you'll have the opportunity to work with a team of talented ML Engineers, Software Engineers, MLOps and Healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.
You will work at simplifying how patients find their healthcare practitioner, handle their care plan in the long term and work with business team to contribute expansion of Doctolib in several new markets.
Doctolib is looking for a Machine Learning Engineer to join our ML Engineering team in charge of our patient solutions.
Your responsibilities include but are not limited to:
You could be our next team mate if you:
Now, it would be fantastic if you:
Ready to apply?
Apply to Doctolib
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.
As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
What you need to be successful
Ready to apply?
Apply to Dataiku
Share this job
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).
Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.
How you’ll make an impact
This position is either onsite/hybrid from our Paris office or full remote from any part of France.
As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:
What you need to be successful
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Ready to apply?
Apply to Dataiku Misc Postings
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Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:
Beyond these core responsibilities, you will also be involved in:
Managing the country’s data science team
Developing Artefact’s technical expertise
Being a great tech manager
Qualifications - What we are looking for
In addition to technical expertise, we value individuals who can:
Our recruitment process
At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
Ready to apply?
Apply to LinkedIn Job WrappingShare this job
Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:
Beyond these core responsibilities, you will also be involved in:
Managing the country’s data science team
Developing Artefact’s technical expertise
Being a great tech manager
Qualifications - What we are looking for
In addition to technical expertise, we value individuals who can:
Our recruitment process
At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
Ready to apply?
Apply to ArtefactShare this job
Who we are
Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.
We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.
What you will be doing:
As a Senior Data Scientist, your role will encompass:
What you will learn with us :
What we are looking for
Qualifications: Education & experience required
Why you should join us
Still hesitating, check our medium blog to discover concrete projects!
Ready to apply?
Apply to LinkedIn Job WrappingShare this job
Who we are
Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.
Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.
Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.
What you will be doing - Key responsibilities
As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:
Beyond these core responsibilities, you will also be involved in:
Managing the country’s data science team
Developing Artefact’s technical expertise
Being a great tech manager
Qualifications - What we are looking for
In addition to technical expertise, we value individuals who can:
Our recruitment process
At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.
Ready to apply?
Apply to Welcome to the JungleShare this job
We are looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team.
Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale. You will work in a feature team developing critical data infrastructure that enables data-driven decision-making while protecting patient privacy across millions of users.
Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
Your responsibilities include but are not limited to:
Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.
Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.
You'll be a great fit if you:
It would be fantastic if you:
We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Ready to apply?
Apply to Doctolib
Are you passionate about artificial intelligence and want to contribute to revolutionizing the healthcare sector? Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing, recommendation systems, clinical process automation, and much more.
We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!
By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas:
The areas of expertise we are looking for :
Most of our positions require:
Before reading further, if you don't have the exact profile described below, but you think this job description matches your skills and aspirations, we still encourage you to apply.
It would be fantastic if:
At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you!
All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.
If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.
Ready to apply?
Apply to Doctolib
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Au cœur de l’entité Decathlon Digital, nous recherchons un·e Senior MLOPS pour rejoindre les équipes Data Factory.
Cette plateforme technologique, globale à tout le groupe de manière internationale, soutient le développement de l’usage de la Data chez Decathlon, du calcul du chiffre d’affaires à l’aide de conception de produits innovants.
Nous opérons une Modern Data Stack de pointe, avec un Lakehouse comme centre de gravité. Notre mission ? Garantir la scalabilité, l'automatisation et l'excellence des pratiques de développement pour l'ensemble de nos communautés (Data Engineers, Analysts, Scientists).
Notre équipe IA / MLOPS au cœur de la Data Factory est une brique essentielle de cette mission. Elle est chargée d’outiller les data scientists, ML engineers pour mener à bien leur mission. De plus elle joue un rôle centrale dans la mise à disposition de LLM et d’agents à nos utilisateurs techniques
En tant que Senior MLOps, au sein de la squad IA / ML tu joueras un rôle clé pour outiller les data scientists et ML engineers afin de les aider à mener à bien leur mission. De plus, tu auras un rôle central dans la mise à disposition des technologies d'IA générative pour nos développeurs. L’équipe est composée de 4 MLOPS et de 2 Product Managers.
Tu seras en charge de:
STACK TECHNIQUE
CE QUE TU APPORTES
DECATHLON DIGITAL CONTEXT
What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.
Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.
Ready to apply?
Apply to Decathlon Digital EN
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Au cœur de l’entité Decathlon Digital, nous recherchons un·e Senior MLOPS pour rejoindre les équipes Data Factory.
Cette plateforme technologique, globale à tout le groupe de manière internationale, soutient le développement de l’usage de la Data chez Decathlon, du calcul du chiffre d’affaires à l’aide de conception de produits innovants.
Nous opérons une Modern Data Stack de pointe, avec un Lakehouse comme centre de gravité. Notre mission ? Garantir la scalabilité, l'automatisation et l'excellence des pratiques de développement pour l'ensemble de nos communautés (Data Engineers, Analysts, Scientists).
Notre équipe IA / MLOPS au cœur de la Data Factory est une brique essentielle de cette mission. Elle est chargée d’outiller les data scientists, ML engineers pour mener à bien leur mission. De plus elle joue un rôle centrale dans la mise à disposition de LLM et d’agents à nos utilisateurs techniques
En tant que Senior MLOps, au sein de la squad IA / ML tu joueras un rôle clé pour outiller les data scientists et ML engineers afin de les aider à mener à bien leur mission. De plus, tu auras un rôle central dans la mise à disposition des technologies d'IA générative pour nos développeurs. L’équipe est composée de 4 MLOPS et de 2 Product Managers.
Tu seras en charge de:
STACK TECHNIQUE
CE QUE TU APPORTES
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Ready to apply?
Apply to Decathlon Digital FR
Share this job
L'équipe Data Platform de DECATHLON recherche un·e Senior MLOPS basé·e·s à Lille/Paris.
Au cœur de l’entité Decathlon Digital, nous recherchons un·e Senior MLOPS pour rejoindre les équipes Data Factory.
Cette plateforme technologique, globale à tout le groupe de manière internationale, soutient le développement de l’usage de la Data chez Decathlon, du calcul du chiffre d’affaires à l’aide de conception de produits innovants.
Nous opérons une Modern Data Stack de pointe, avec un Lakehouse comme centre de gravité. Notre mission ? Garantir la scalabilité, l'automatisation et l'excellence des pratiques de développement pour l'ensemble de nos communautés (Data Engineers, Analysts, Scientists).
Notre équipe IA / MLOPS au cœur de la Data Factory est une brique essentielle de cette mission. Elle est chargée d’outiller les data scientists, ML engineers pour mener à bien leur mission. De plus elle joue un rôle centrale dans la mise à disposition de LLM et d’agents à nos utilisateurs techniques
En tant que Senior MLOps, au sein de la squad IA / ML tu joueras un rôle clé pour outiller les data scientists et ML engineers afin de les aider à mener à bien leur mission. De plus, tu auras un rôle central dans la mise à disposition des technologies d'IA générative pour nos développeurs. L’équipe est composée de 4 MLOPS et de 2 Product Managers
Tu seras en charge de:
STACK TECHNIQUE
CE QUE TU APPORTES
DECATHLON DIGITAL
Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits.
Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.
Ready to apply?
Apply to Decathlon Digital FR
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