About The Role 

As a Technical Account Manager in our EMEA region, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.

In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.

What You’ll Do

• As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
• You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
• From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
• Provide customers with clear proactive technical guidance and expertise across all our products
• Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
• Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level

What We're Looking For

• 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
• Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
• Excellent project management and communication skills
• Proven ability to quickly learn new technologies and understand complex systems (APIs, databases, reporting tools, etc.)
• Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
• Ability to collaborate cross functionally with different teams and types of people
• Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease
• Proficiency of spoken and written English

About Hightouch

At Hightouch, we’re on a mission to empower everyone to take action on their data. Our momentum is undeniable: we were recently recognized as a Leader in the Gartner® Magic Quadrant™ and named one of Forbes’ Best Startup Employers. Today, hundreds of world-class brands—including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart—trust us to power their growth.

Pioneering the Future of Data

We pioneered the Composable Customer Data Platform (CDP), a category-defining approach that enables companies to activate customer data directly from their data warehouse. We’ve since pushed the boundaries of innovation with our AI Decisioning platform, which allows marketers to deploy AI agents that orchestrate 1:1 customer interactions at scale. By removing the technical barriers to data access, we enable every business user to deliver deeply personalized experiences and optimize performance in real time. While we’re headquartered in San Francisco, our talent is global, with team members collaborating from all over the world. Following our Series C funding, Hightouch is valued at $1.2B and is backed by elite investors, including Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

Our Culture and Values

We’re a high-impact team that values substance over ceremony. We approach every challenge with a first-principles mindset, move with urgency, and treat one another with genuine compassion. We look for teammates who are:

• Strong Communicators: Able to distill complex ideas into actionable insights.

• Growth-Oriented: Eager to learn, adapt, and scale alongside the company.

• Driven: Motivated by the persistence required to achieve ambitious goals.

About The Role 

Hightouch is looking for a Sales Development Representative (EMEA) to join our rapidly growing team in Paris. In this role, you will be responsible for generating top of the funnel leads in addition to building foundational processes and strategies to the commercial sales team. You will be outbounding to engineers, marketers, and operation teams so we are looking for someone who is highly intelligent and also has the ability to connect with multiple audiences. This role is aligned to our EMEA South team, based out our brand new Paris office and is only open to a fluent French speaker. 

What You’ll Do 

• Outreach directly into prospective agents that fit our ideal persona via cold-calls, text, emails, integrated marketing campaigns, LinkedIn campaigns and other methods
• You work with the growth team to  research and craft personalized outreach to target accounts
• Find creative methods, channels, and strategies to help guide prospects to our free trial
• As part of our growing SDR team, help define and improve sales processes, strategies, tactics, and more
• You will be tasked with a goal and expected to execute against it on a monthly basis
• You will live in slack and monitor for new signups, engaging them directly in order to schedule meetings with them. Those meetings will be scheduled for with the sales org and the customer

What We're Looking For

• Bachelor's degree
• Be a Self-starter, ability to self-motivate in a high-growth start-up
• Effective communication skills, both written and verbal
• Prior experience engaging customers and prospects
• Interest in tech and more specifically data
• Ability to multitask, organize, and prioritize work

Even if your experience does not line up perfectly, we are still excited to have you apply. The best hires do not always check off every box of a job description.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE

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.

MACHINE LEARNING ENGINEER - ALTERNANCE

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.

TES MISSIONS

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 contribueras aux projets existants comme tous les membres de l’équipe.
• Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
• Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
• Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
• Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.

Tu auras l’opportunité de :

• Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
• Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
• Expliquer l’utilisation de la data et sa valeur ajoutée.

TON ENVIRONNEMENT TECHNIQUE

• Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
• Cloud & Infra : AWS, GCP, Databricks
• MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
• DevOps & Tools : GitHub Actions, Git, Docker, API
• Méthodologie : Agile

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

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) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

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.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

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.

Être étudiant chez Decathlon, c’est quoi ?

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.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

Our Data Pricing TEAM is looking for a Analytics Engineer/Data Analyst (f/m/d) on an apprenticeship basis, located in Paris/Lille starting September 2026.

OUR TEAM

Within an agile team of 5 to 6 analytics professionals (Business Intelligence, Data Analysts, Analytics Engineers) based in Lille and Paris, we drive Decathlon's global pricing strategy. Our challenge? Steering performance during peak commercial seasons ("In-Season") and turning data into growth opportunities. You will have a direct impact on our global pricing relevance and the satisfaction of our sport users.

YOUR FUTURE CONTRIBUTION

Under the guidance of your mentor, you will bridge the gap between raw data and business decisions: 

• End-to-End Data Delivery: Work across the entire data lifecycle, from data extraction to the creation of decision-support dashboards.
• Ad-hoc Analysis: Explore and analyze data to answer complex business questions (price elasticity, margin analysis, promotional impact).
• Data Engineering: Design and maintain robust data pipelines using dbt to feed our pricing use cases and automate reporting.
• In-Season Monitoring & Strategic Insights: Help set up real-time performance indicators to adjust the commercial strategy.
• Data Culture: Simplify and present your findings, while challenging business needs to provide true strategic value. 

WHAT YOU BRING

• Education: Pursuing a Master's degree in Data, Engineering, or a related field.
• Soft Skills: Proactive, team player, and a strong "growth mindset." You are eager to learn and innovate.
• Hybrid Skills: You enjoy both technical modeling (SQL/code) and business storytelling.
• Critical Thinking: You don't just deliver numbers; you analyze them with business acumen and are comfortable challenging the status quo.
• Experience: A previous internship or project in the Data field is a plus

TECHNICAL STACK

• Must-have: Strong command of SQL.
• Nice-to-have: dbt, Python, Databricks, Git, Airflow, and Tableau.

WHAT WE OFFER

• Working equipment provided (Mac or Windows).
• Local project team within a global network (international career opportunities).
• Skills development and mentorship.
• Competitive compensation package (shareholding, bonuses).

OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY

At Decathlon, we recognize the immense value that diversity brings to our teams, and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people from all backgrounds and abilities to apply, as we are convinced that diversity of thought, culture, identity, and lived experience makes us strong.

Decathlon is also committed to providing an inclusive and accessible selection process for all candidates. If you need any adjustments, you can request them via the application form, and this information will remain confidential. These requests do not affect the outcome of the recruitment process.

Notre équipe Data Pricing recherche un·e Analytics Engineer/Data Analyst (f/m/d) en alternance, basé·e à Paris/Lille pour un début en septembre 2026.

NOTRE ÉQUIPE

Au sein d'une équipe agile de 5 à 6 expert·es (Analytics Engineers, Business Intelligence, Data Analysts) répartie entre Lille et Paris, nous sommes le moteur de la stratégie de prix de Decathlon. Notre défi ? Piloter la performance durant les moments clés de la saison de commercialisation ("In-Season") et transformer nos données en leviers de croissance. Ton impact sera direct sur la pertinence de nos prix mondiaux et la satisfaction de nos sportif·ves.

TA FUTURE CONTRIBUTION

Sous la responsabilité de ton tuteur ou ta tutrice, tu seras au cœur de l'aide à la décision pour nos interlocuteurs business :

• Full Stack Data Delivery : Tu interviens sur toute la chaîne, de l'extraction des données à la création de dashboards d'aide à la décision.
• Analyses Ad-Hoc : Explorer et analyser les données pour répondre aux problématiques business complexes (élasticité prix, analyse de marge, impact promotionnel).
• Ingénierie de données : Concevoir et maintenir des pipelines de datasets robustes via dbt pour alimenter nos cas d'usage pricing et automatiser le reporting.
• Pilotage In-Season & Analyses Stratégiques : Contribuer à la mise en place d'indicateurs de performance en temps réel pour ajuster la stratégie commerciale.
• Culture Data : Vulgariser tes analyses et challenger les besoins business pour apporter une réelle valeur ajoutée stratégique.

CE QUE TU APPORTES

• Formation : Tu prépares un diplôme supérieur en Data (Master, École d'ingénieur ou équivalent).
• Soft Skills : Tu fais preuve de proactivité et d'un excellent esprit d'équipe. Ton "growth mindset" te pousse à apprendre chaque jour.
• Expertise Hybride : Tu aimes autant "mettre les mains dans le moteur" (SQL/code) que raconter une histoire avec les chiffres.
• Esprit Critique : Tu ne te contentes pas de sortir des chiffres, tu les analyses avec un œil business affûté et n'hésites pas à challenger l'existant.
• Expérience : Une première expérience (stage ou projet) en Data est un atout.

STACK TECHNIQUE

• Indispensable : Maîtrise avancée de SQL.
• Les plus : dbt, Python, Databricks, Git, Airflow, and Tableau.

CE QUE NOUS T’OFFRONS

• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac ou Windows).
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale).
• Développement des compétences et accompagnement personnalisé.
• Package de rémunération attractif (selon barème alternance, bonus mensuels/trimestriels, actionnariat salarié).

NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE

Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es.

Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement.

Data Analyst Backend E-commerce (f/m/d) - Alternance

Notre équipe Backend E-commerce recherche un·e Data Analyst (f/m/d) en Alternance basé·e à Paris.
Rythme souhaité : périodes longues en entreprise (3 semaines en entreprise / 1 semaine en cours)

PRÉSENTATION DE L'ÉQUIPE

Rejoins une équipe dynamique de 15 passionné·es (développeur·euses, product owners, data engineers) au cœur de la stratégie digitale de Decathlon. Notre objectif : garantir la robustesse et l'efficacité des flux de données qui propulsent notre plateforme e-commerce mondiale. Ton impact sera direct sur l'expérience de millions de sportifs et sportives, avec pour défi d'allier performance technique et innovation responsable.

TA FUTURE CONTRIBUTION

En tant qu'alternant·e Data Analyst, tu seras le pont entre les données brutes backend et les décisions stratégiques. Tes missions s'articuleront autour de 4 piliers :

Analyse et Interprétation des Données

• Concevoir et mettre en œuvre des analyses pour extraire des informations utiles (ventes, tendances, comportements).
• Utiliser des méthodes statistiques (analyse descriptive, ACP, classifications) pour résoudre des problématiques business complexes.
• Traduire les besoins des équipes métier (Business, Marketing, Produit) en problèmes analytiques concrets.
• Aider au développement d'outils de segmentation clients et de modèles de scoring.

Préparation et Modélisation

• Participer au nettoyage, à l'exploration et à la préparation des jeux de données.
• Contribuer au développement, aux tests et à l'évaluation de modèles d'IA.

Visualisation et Communication

• Créer des tableaux de bord (Dashboards) et des agents IA pour le suivi des indicateurs clés (KPIs).
• Présenter les résultats de manière claire et percutante aux différentes parties prenantes.

Collaboration et Innovation

• Évoluer dans un environnement Agile avec des outils modernes (Git).
• Assurer une veille technologique sur les nouvelles tendances en data analyse.

CE QUE TU APPORTES

• Formation & Expérience : Une première expérience significative (stage, projet universitaire) dans un environnement technique similaire.
• Compétences Analytiques : Une maîtrise des fondamentaux statistiques et une capacité à transformer la donnée en action.
• Mindset : Une forte appétence pour le business, la connaissance client et la création de valeur.
• Culture : Un esprit d'équipe prononcé, le goût du partage et un intérêt pour l'impact du sport.
• Engagement : L'envie de rejoindre une entreprise Tech4Good et de contribuer à une innovation responsable.

STACK TECHNIQUE

• Databricks (SQL / Python)
• DBT / Airflow
• Tableau for data visualization
• Git

POURQUOI NOUS REJOINDRE ?

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) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

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.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

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.

Être étudiant chez Decathlon, c’est quoi ?

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.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

FEQ327R157

As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers across the Qatar & Africa markets. Your experience partnering with the sales organisation will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. 

You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.

The impact you will have:

• Hire, mentor and grow the pre-sales team for the Qatar & Africa markets
• Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
• Support increased return on investment of SA involvement in sales cycles
• Ensure a solution and value-based selling within the field-engineering organization
• Display an understanding of needs and revenue potential for accounts in the assigned region
• Engage with key customer executives to build and strengthen strategic partnerships
• Ensure close alignment with partners and internal services to secure implementation strategies within accounts
• Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region

What we look for:

• Experience managing a team of successful Big Data, Cloud, or SaaS professionals
• Experience in consumption based business environments
• Have experience mentoring and scaling technical teams
• Success in instituting processes for technical field members to lead efficiency and product focus
• Ability to partner and collaborate with Sales and other cross-functional leaders
• Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions
• Technical or consulting background either in Data Engineering, Database technologies or Data Science
• Strong communication skills. Italian native-speaker and fluent in English.

Note: Location for the role is either Paris or London (i.e. within commutable distance).

#LI-hybrid

The Partnerships & Alliances team is the connective tissue between Dataiku and the broader AI ecosystem — Global Systems Integrators (Accenture, Deloitte, PwC, Capgemini), Regional Systems Integrators, and Tech Alliances (AWS, Microsoft, Google, Snowflake, Databricks, Nvidia). While our Partner Sales Managers (PSMs) act as the strategic advisors to the field, we're seeking a Partner Sales Manager Intern to be the operational engine that powers everything behind the scenes.

In this role, you'll help architect the visibility of partner engagement and ensure our internal sales teams (AEs, SEs, CSMs) have the resources, data, and communications they need to work effectively with our partner ecosystem. You'll gain hands-on exposure to enterprise partnerships, GTM operations, and the inner workings of a fast-scaling AI company.

How You'll Make an Impact

Communication & Brand Advocacy

• Lead the end-to-end creation and distribution of a Quarterly Partner Newsletter, tailored for two distinct audiences: an internal edition highlighting KPIs and team wins for stakeholders, and an external edition showcasing successes and metrics to strengthen partner trust.
• Draft and finalise quarterly "Win Wires" — strategic success stories celebrating major deal closures and partnership milestones across the organisation.
• Track, gather, and synthesise data (KPIs, deal progress, sourced/influenced GNARR) to fuel reporting and ecosystem visibility.

Partner Onboarding & Lifecycle Management

• Own and streamline the end-to-end partner onboarding journey, from contract setup in Ironclad through to first certification.
• Ensure partner data (tiers, regions, specialisations) is accurately reflected across Salesforce and Ironclad.
• Equip new partners with timely access to the partner portal, training, and tools they need to ramp quickly.

Operational Excellence

• Maintain dedicated Hyperscaler portals (AWS, Microsoft, Google) to ensure real-time visibility into shared opportunities, pipeline, and joint initiatives.
• Keep the Partner Capability Matrix and onboarding documentation current with new product offerings, service updates, and team announcements.
• Provide administrative support for partner event preparation and post-event follow-up in collaboration with Field Marketing and PSMs.
• Help synthesise feedback from Customer Success teams on partner performance to feed into business reviews.

What You'll Learn

• Ecosystem Strategy: How world-class enterprise software companies build, manage, and scale partnerships with GSIs, RSIs, and Hyperscalers.
• GTM Operations: Hands-on experience with the systems and processes (Salesforce, Ironclad, partner portals) that power a global partner motion.
• Cross-Functional Collaboration: Direct exposure to Partner Sales Managers, Account Executives, Sales Leadership, Field Marketing, and Partner Enablement teams.
• Mentorship & Networking: Work alongside senior Partnerships leaders and build meaningful connections across the Revenue organisation.

What You'll Bring

• Master's Degree
• Organised and detail-oriented, with a knack for making processes run smoothly and a high bar for data accuracy.
• Strong written communication skills — comfortable drafting newsletters, success stories, and partner-facing content.
• Tech-savvy and curious, quick to learn new tools (familiarity with Salesforce, Ironclad, or partner portals is a plus, but not required).
• Basic data skills — comfortable pulling reports or working with spreadsheets to track KPIs and engagement metrics.
• A proactive team player who's happy to roll up their sleeves on the admin work while keeping the bigger picture in view.
• Interest in enterprise software, AI, cloud, or the broader data ecosystem.

#LI-AS1

FEQ327R162

The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with Greenfield (New Logo) clients in France, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings).
• Business proficiency in both French and English required. 

Join the Supply Chain Analytics adventure at Decathlon Digital.

At Decathlon, Analytics is a union of Data Analysts, BI Engineers, and Analytics Engineers, a team of 150 people within the Data teams, spread across various fields. If you love data and want to use it to make a difference, join us!

The Data Supply Chain, is responsible for designing, developing, and maintaining innovative analytical and AI solutions around supply chain issues such as product assortment by optimizing costs, the dispatch of our products across our network, and the visibility and availability of our products on our platforms, to name a few. 

The multidisciplinary team is composed of Data Scientists, Data Analysts, Analytics Engineers, Data PMs, and BI Engineers. It works closely with product managers and business partners using agile methodology and a state-of-the-art technical stack.

We are hiring a Senior Data Analyst (permanent contract), based in Lille or Paris.

Your mission: Collaborate, Analyze, Inform, and Drive Impact!

As a Data Analyst, you will serve as a key link between data teams and supply business teams (product managers, dispatchers, etc.), supporting them in making strategic, data-driven decisions.

YOUR RESPONSIBILITIES

You engage with business contacts and operational teams to gain a better understanding of the issues you're working on. You develop appropriate data solutions by being proactive and respecting their constraints, while maintaining a sound understanding of existing analyses and tools.

You identify the data needed for your study and ensure its quality and reliability. You perform the data cleaning and preparation prior to applying the statistical and analytical methods you choose. (Note: You respect and promote the ethical framework for the use of personal data.)

There are a variety of responsibilities :

• Analyze the performance of Decathlon's Downstream Supply Chain (Dispatch, Replenishment, Stock Positioning, Order Management)
• Support business teams and provide proactive analysis and recommendations
• Delivering impactful insights and strong recommendations to guide business decisions.
• Supporting business stakeholders in building their data skills and acting as a liaison between them and other data teams.

Your technical environment:

• Languages: SQL, Python (pandas, numpy, scikit-learn)
• BI Tools: Tableau
• Data Engineering: dbt, Databricks
• Cloud Platforms: AWS (S3, redshift), cloud provider AWS
• Versioning & DevOps: Git, CI/CD, VSCode

WHAT YOU'LL BRING

• Experience: 3+ years in Data Analysis with strong expertise in SQL and data visualization.
• Business understanding: You grasp the challenges of designing and selling physical products and know how to turn business needs into well-defined problems and actionable recommendations.
• Analytical mindset: You are strong in structuring analysis and interpreting meaningful insights.
• Collaborative spirit: You’re comfortable working in cross-functional teams (business, data, product, governance).
• Proactive & curious: You enjoy exploring new solutions and continuously improving analysis methods.
• Languages: You have professional proficiency in English

WHAT WE OFFER

• A team of sports and data enthusiasts
• Two remote working days per week
• Equipment tailored to your needs (Mac, Windows, Chromebook)
• Career development opportunities locally and internationally
• Training and technical certifications from year one
• Attractive compensation package (profit-sharing, quarterly bonuses, employee stock ownership)

If you want to shape the future of Supply Chain through data — join us!

Notre Team Digital Analytics recherche un·e Senior Data Scientist (f/m/d) basé·e à Paris ou Lille.

L'équipe Digital Analytics est le moteur de la décision basée sur la donnée pour l'Ecommerce de Decathlon. Composée d'experts en analytics, expérimentation et data science, notre mission est de transformer la donnée brute en leviers de croissance. Nous relevons des défis de personnalisation à l'échelle mondiale et d'optimisation du parcours client pour rendre le sport accessible au plus grand nombre. Rejoindre notre équipe, c'est intégrer un environnement stimulant où vos modèles ont un impact direct sur des millions d'utilisateurs.

TA FUTURE CONTRIBUTION

En tant que Senior Data Scientist, tu joues un rôle clé dans l'exploration des données et la création d'expériences produits intelligentes. Tes missions incluent :

• Concevoir des solutions de Data Science & Analytics Avancée : Développer des modèles de Machine Learning (prédictifs et prescriptifs) pour résoudre des problématiques complexes liées à l'expérience client.

• Piloter des cas d'usage de bout en bout : De la découverte du problème au déploiement et à l'optimisation continue, tu es garant·e de la pertinence et de la précision de tes solutions.

• Explorer et identifier des opportunités : Analyser proactivement les comportements et tendances pour déceler des leviers d'impact majeurs.

• Collaborer pour la mise en production : Travailler main dans la main avec les Product Managers et ingénieurs pour assurer la scalabilité et la fiabilité des solutions.
  
  

CE QUE TU APPORTES

• Expertise End-to-End : Tu maîtrises tout le cycle de vie d'un projet data (feature engineering, modélisation, monitoring).

• Culture Produit & Impact : Tu sais traduire des analyses complexes en recommandations actionnables pour le business.

• Maîtrise de l'Expérimentation : Expérience solide en design et analyse de tests A/B ou multivariés.

• Communication : Capacité à vulgariser des concepts techniques auprès de parties prenantes variées.

• Bon niveau en anglais, écrit, oral

STACK TECHNIQUE

• Langages & Frameworks : Python (Pandas, Scikit-learn), SQL, Spark / PySpark.

• Environnement : Databricks, Jupyter Notebooks, Git, MLflow.

• Outils Analytics : Statsig, Amplitude, Tableau.

• Bonus : TensorFlow, PyTorch.
  
  

CE QUE NOUS T’OFFRONS

• Organisation de travail hybride ;

• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac ou Windows) ;

• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;

• Développement des compétences et accompagnement (diversité des projets, formations internes et externes, etc.) ;

• Package de rémunération (actionnariat salarié, bonus mensuels/trimestriels).
  
  

NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE

Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es. Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement.

We are looking for a Senior Data Scientist (f/m/d) to join the Digital Analytics team within Ecommerce.

The Digital Analytics team enables data-informed decision-making across Decathlon ecommerce, driving faster and smarter outcomes. We go beyond descriptive analytics by combining advanced analytics, experimentation, and data science to both understand and shape customer behavior. By embedding these capabilities into our digital products, we power intelligent features, personalization, and continuous optimization at scale. By integrating data across the full product lifecycle, we ensure every feature and iteration delivers meaningful value for both users and the business.

As a Senior Data Scientist, you will play a key role in exploring data, generating insights, and building data-powered product experiences. You will partner closely with product managers, engineers, and analysts to apply predictive and prescriptive analytics, and develop models that directly impact customer experience and business performance.

This is a highly product-oriented role: we are looking for someone who combines strong analytical thinking with applied data science, and who has hands-on experience delivering solutions in real-world product environments. You should be comfortable moving from exploration and hypothesis generation to modeling and impact measurement, with a focus on delivering tangible outcomes in a product environment.

YOUR FUTURE CONTRIBUTION

As a Senior Data Scientist, you will play a key role in exploring data, generating insights, and building data-powered product experiences. You will partner closely with product managers, engineers, and analysts to apply predictive and prescriptive analytics, and develop models that directly impact customer experience and business performance.

• Build data science & advanced analytics solutions: Develop machine learning models and apply predictive and prescriptive analytics to solve complex ecommerce and customer experience problems.
• Own end-to-end use cases: Translate business and product requirements into clear data science approaches. Take full ownership from problem discovery to modeling, deployment, and ongoing refinement.
• Explore & identify opportunities: Proactively analyze data to uncover customer behaviors, trends, and high-impact opportunities.
• Collaborate to deliver in production: Partner closely with product and engineering to bring solutions live, ensuring scalability, reliability, and business impact.

WHAT YOU BRING

• End-to-end Data Science Ownership: Experience across the entire lifecycle (discovery, feature engineering, modeling, experimentation, deployment).
• Applied Data Science: Strong ability to apply statistical modeling and machine learning to real-world product problems like conversion optimization or personalization.
• Product expertise: Experience working in product environments with a focus on optimizing customer journeys.
• Technical Proficiency: Strong programming skills in Python (pandas, scikit-learn) and large-scale data tools (SQL, Spark).
• Collaboration: Proven ability to partner with diverse stakeholders and communicate insights effectively.

TECHNICAL STACK

• Languages & Frameworks : Python (Pandas, Scikit-learn), SQL, Spark / PySpark.

• Environnement : Databricks, Jupyter Notebooks, Git, MLflow.

• Analytics Tools : Statsig, Amplitude, Tableau.

• Bonus : TensorFlow, PyTorch.

WHAT WE OFFER

• Hybrid work organization;
• Equipment provided in line with your missions and our societal commitments (Mac or Windows);
• A local project team within a global network (international career opportunities);
• Skills development and support (diversity of projects, internal and external training, etc.);
• Remuneration package (employee shareholding, monthly/quarterly bonuses).
  
  

OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY

At Decathlon, we recognize the immense value that diversity brings to our teams and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people of all backgrounds and abilities to apply, as we are convinced that diversity of thoughts, cultures, identities and lived experiences makes us stronger. Decathlon is also committed to offering an inclusive and accessible selection process to all candidates. If you need adjustment, you can request it via the application form, it will be confidential. These requests do not affect the outcome of the recruitment process.

The Team You'll Join

You'll be part of our 6-person team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.

The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.

Your Impact

This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.

• Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
• Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators
• Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
• Drive adoption of analytics solutions through user training, responsive support, and incident resolution

What You'll Bring to the Role

Experience:

• You're looking for a 6-month internship starting in September 2026
• You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
• Proficiency in SQL for data manipulation and transformation of very large datasets
• Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
• Experience with forecasting and statistical analysis techniques

Skills:

• Data visualization with tools like Metabase, Superset, or Tableau
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced environment
• Excellent communication skills to work with technical and non-technical stakeholders
• Python for analytics and automation 
• nice to have: dbt, AI-powered/agentic tools

Tech Stack

• Data platform: Databricks
• Data visualization: Metabase, Superset
• Programming: SQL, Python
• Modeling: dbt

AI: Dust, Claude, N8N

• Version control & CI/CD: Modern analytics engineering workflows

Languages

• Fluent in French and English

Compensation

Pay Range: €1,200 - €1,600 per month (depending on profile)

Benefits:

• A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
• A tailor-made onboarding process to quickly acquire skills
• Empowering and evolving responsibilities to make the most of this experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our CSE discounts (ticketing, etc.)
• A healthy mind in a healthy body: take time for yourself with the Gymlib pass
• Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
• Swile meal vouchers card
• Coverage of transportation costs (50% Navigo pass, bike, etc.)

Our Hiring Process

We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.

Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.

1. Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

The Team You'll Join

You'll be part of our 6-person team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.

The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.

Your Impact

This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.

• Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
• Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators
• Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
• Drive adoption of analytics solutions through user training, responsive support, and incident resolution

What You'll Bring to the Role

Experience:

• You're looking for a 6-month internship starting in September 2026
• You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
• Proficiency in SQL for data manipulation and transformation of very large datasets
• Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
• Experience with forecasting and statistical analysis techniques

Skills:

• Data visualization with tools like Metabase, Superset, or Tableau
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced environment
• Excellent communication skills to work with technical and non-technical stakeholders
• Python for analytics and automation 
• nice to have: dbt, AI-powered/agentic tools

Tech Stack

• Data platform: Databricks
• Data visualization: Metabase, Superset
• Programming: SQL, Python
• Modeling: dbt

AI: Dust, Claude, N8N

• Version control & CI/CD: Modern analytics engineering workflows

Languages

• Fluent in French and English

Compensation

Pay Range: €1,200 - €1,600 per month (depending on profile)

Benefits:

• A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
• A tailor-made onboarding process to quickly acquire skills
• Empowering and evolving responsibilities to make the most of this experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our CSE discounts (ticketing, etc.)
• A healthy mind in a healthy body: take time for yourself with the Gymlib pass
• Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
• Swile meal vouchers card
• Coverage of transportation costs (50% Navigo pass, bike, etc.)

Our Hiring Process

We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.

Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.

1. Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

The Team You'll Join

You'll be part of our 6-person Analytics Engineering team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.

The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.

Your Impact

This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.

• Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
• Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators
• Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
• Drive adoption of analytics solutions through user training, responsive support, and incident resolution

What You'll Bring to the Role

Experience:

• You're looking for a 6-month internship starting in September 2026
• You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
• Proficiency in SQL for data manipulation and transformation of very large datasets
• Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
• Experience with forecasting and statistical analysis techniques

Skills:

• Data visualization with tools like Metabase, Superset, or Tableau
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced environment
• Excellent communication skills to work with technical and non-technical stakeholders
• Python for analytics and automation 
• nice to have: dbt, AI-powered/agentic tools

Tech Stack

• Data platform: Databricks
• Data visualization: Metabase, Superset
• Programming: SQL, Python
• Modeling: dbt

AI: Dust, Claude, N8N

• Version control & CI/CD: Modern analytics engineering workflows

Languages

• Fluent in French and English

Compensation

Pay Range: €1,200 - €1,600 per month (depending on profile)

Benefits:

• A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
• A tailor-made onboarding process to quickly acquire skills
• Empowering and evolving responsibilities to make the most of this experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our CSE discounts (ticketing, etc.)
• A healthy mind in a healthy body: take time for yourself with the Gymlib pass
• Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
• Swile meal vouchers card
• Coverage of transportation costs (50% Navigo pass, bike, etc.)

Our Hiring Process

We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.

Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.

1. Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

Sr. Solutions Architect - Greenfield (New Logo) France

The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule)

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with strategic enterprise clients within the Greenfield territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Experience with managing strategic enterprise accounts.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings).
• Business proficiency in both French and English required. 

Req ID: FEQ427R219

Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Energy industry go-to-market (GTM) motion across the Europe, Middle East, and Africa (EMEA) region. As a key member of our global industry GTM team, you will shape and drive how Databricks engages the energy sector in one of the world's most dynamic markets. Reporting to the Global GTM Head for Manufacturing, Transportation, and Energy, you will collaborate deeply on a day-to-day basis with EMEA sales, field engineering, and GTM leadership.

You will operate at the intersection of industry expertise, customer engagement, and commercial strategy, helping Databricks win in a market where data and AI are redefining how energy systems are built and optimized to support future economic growth. If you bring deep industry domain knowledge, the ability to set the vision for AI at the world’s largest energy companies, and a proven track record of harnessing the transformative potential of data and AI to drive real business value, we want to hear from you.

Key Responsibilities:

• Strategic Vision & Executive Engagement: Lead AI vision-setting engagements with top energy accounts, advising CEOs and executive teams on strategic adoption and impact. Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the EMEA region.
• GTM Strategy & Pipeline Growth: Lead the strategic and operational execution of GTM initiatives across the energy sector in EMEA, including oil and gas, power and utilities, renewables, and mining. Drive pipeline growth and accelerate customer adoption. Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights.
• Cross-Functional Alignment: Build strong alignment with EMEA sales, field engineering, marketing, partnerships, and product teams. Develop and execute industry-specific GTM programs that convert market opportunity into revenue.
• Thought Leadership & Market Analysis: Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry. Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities.
• Travel regularly to support customer meetings, executive engagements, and industry events.

Qualifications:

• Education: Bachelor's degree in Business, Engineering, or a related field. An MBA or equivalent post-graduate qualification is strongly preferred.
• Industry Leadership: 10+ years of leadership experience in the energy sector. This must include at least 5 years in a GTM, strategy, or business development role within strategic consulting (ex-MBB preferred) and product-led technology companies.
• Commercial Success: Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes.
• Domain Expertise: Expert-level domain knowledge in one or more of the following areas: subsurface intelligence, industrial AI, energy and commodity trading, and grid resilience. Familiarity with key energy industry standards bodies and frameworks across the EMEA region. Strong understanding of the modern data and AI technology landscape and how it applies to every aspect of the energy sector.
• Soft Skills & Collaboration: Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization. A track record of building trusted relationships with senior executives in a multilingual, multicultural market like EMEA. Exceptional communication skills—both written and verbal—with the ability to translate technical and data concepts into compelling business narratives for executive audiences.

FEQ426R195

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

We are looking for a Director, Field Engineering in the Middle East & Africa to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Middle East & Africa across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business.

Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the AVP, Field Engineering - EMEA South.

The impact you will have:

• Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects
• Build a collaborative culture within a rapid-growth team to embody and promote Databricks' customer-obsessed, teamwork and diverse culture
• Support our growing consumption business focusing on customer value and supporting your SA team in this motion
• Support increased return on investment of Solutions Architect involvement in sales cycles
• Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts
• Promote a solution and value-based selling field-engineering organisation
• Display an understanding of business needs and revenue potential for accounts in the assigned region
• Build Databricks' brand in the Middle East & Africa in partnership with the Marketing and Sales team

What we look for:

• 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
• Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region
• Ability to elevate the engagement with a track record of driving large transactions and high growth customers 
• Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach 
• Proven track record of transformational success and delivery of customer value
• Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)
• Experience in complex strategic accounts generating +$1M ARR
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to improve efficiency
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

SLSQ227R334

As we continue our rapid expansion across Europe, we are looking for a creative, execution oriented Account Executive to join the team in France to maximise the phenomenal market opportunity that exists for Databricks within the Automotive and Manufacturing sector. Reporting to our Director of Enterprise Sales, as a Strategic Account Executive at Databricks you will focus on building relationships and closing new business opportunities with a global automotive manufacturer.

You will collaborate closely with a Global Account Manager to co-develop a strategic business plan for the account. Bringing an informed perspective on Big Data, Advanced Analytics, and AI, you will help shape the execution strategy and deliver meaningful, long-term value to this highly strategic client.

The impact you will have:

• Assess your key account and develop a strategy to meet and exceed revenue and consumption goals
• Implement the above strategy to meet and exceed revenue and consumption targets
• Build positive relationships with key decision makers (up to and including C-level) and establish yourself as a trusted advisor for Data & AI-related subjects
• Identify new business opportunities and develop the expand / consumption use cases within your key account
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem
• Showcase exceptional value with all engagements to guide successful negotiations to close point

What we look for:

• Successful track record of meeting and exceeding sales quotas and KPIs
• Experience managing large enterprise-class manufacturing clients in France
• Proven experience selling complex software deals

Experience contributing to structured enterprise transformation projects (data, analytics or AI). Prior consulting experience is a strong plus.

• Understanding of consumption-based land and expand sales models
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling, Command of the Message and accurate forecasting
• Experience of building effective champions and collaborative teams to support execution of your territory plan
• Experience of developing a clear partner strategy and managing it to success
• Understanding of how to identify important uses cases and buying centres in order to increase the impact of Databricks within an organisation
• Fluent English and French language skills essential

#LI-NV1

Role Description

• As a Senior Management & Technology Consultant - AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

FEQ327R159

Field Engineering Manager - Specialist Solutions Architects France

The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSAs) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.

The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. 

Reporting to the Senior Manager, Field Engineering (Specialist).

The impact you will have:

• You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode
• Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• Establish relationships across the business to make your customers and team successful
• Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota
• Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
• Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership
• Act in a supportive manager capacity, including handling escalations, mentoring team members, building a career path for the assigned team members, etc.

What we look for:

• Experience in senior roles in the data space with a technical product (i.e. data warehousing, big data, or machine learning)
• Experience in leading technical overlay customer-facing teams (team sizes greater than 8), preferably in a pre-sales organisation leading technical engagements
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Team player, but able to challenge and define priorities
• Self-starter, challenger, strategic planner & analytical thinker 
• Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations
• Experience hiring qualified candidates, ramping them up to be successful, and promoting into larger roles.
• Experience working with other teams such as Sales, Product Management, and Professional Services

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

Why Engineering at Dataiku? 

Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. 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.

What to know about the Field Engineering team 

As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.

How you’ll make an impact

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

Initial call with a member of our Technical Recruiting team

Video call with the Field Engineer Hiring Manager

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with Field Engineer Team members

Final Interview with the Sr Director Field Engineering

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) or Freelance, based in Paris or Bordeaux (4 days on site).

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) or Freelance, based in Paris or Bordeaux 4 days on site.

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

Job Title: Retail and Consumer Goods EMEA Leader

Req ID: SLSQ127R516

This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.

Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA's largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.

You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.

The impact you will have:

• A Scalable EMEA Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You'll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.
• Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.
• A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real.
• Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.
• Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to EMEA's diverse geographies while contributing frameworks that support Americas and APJ. You'll work cross-functionally to ensure these plays move from concept to revenue.
• Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.
• Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.
• Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.
• Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.

What we look for:

• An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists.
• Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.
• A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.
• An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.
• A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.
• Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.
• Regulatory Aware You understand the European regulatory environment—GDPR, Greenhouse Gas Compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations.
• A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.
• A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers.

Multilingual Fluent in English with strong proficiency in French or German.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

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.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 700 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions

Cadrage et conception technique

• Vous traduisez les besoins des équipes marketing et CRM en exigences fonctionnelles et techniques, en collaboration étroite avec les Product Owners, les équipes data et les interlocuteurs métiers (CMO, CRM managers, growth teams).
• Vous concevez l'architecture technique de projets data marketing complexes : collecte, unification et modélisation de la donnée client, mise en place ou évolution de CDP, intégration des plateformes d'activation, chiffrement de la donnée, application des réglementations (rétention, purge, chiffrement de la donnée client…).
• Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
• Vous rédigez les documents de conception technique et formalisez les décisions (architecture, sécurité, temps réel) pour assurer l'alignement de toutes les parties prenantes.

Leadership et supervision de la livraison

• Vous supervisez la livraison d'un ou plusieurs streams techniques dans des projets data marketing (CDP, data pipelines marketing, tracking, identity resolution, modeling, personalisation temps réel…), en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
• Vous participez directement à l'implémentation et à la résolution de problèmes techniques complexes (réconciliation d'identités, gestion de la conformité RGPD, orchestration des flux d'activation).
• Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et proactive avec les équipes client et les partenaires technologiques (éditeurs CDP, agences media, etc.).
• Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe.

Management et mentorat

• Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation, notamment sur les spécificités de l'écosystème martech.
• Vous êtes un "advocate" du partage de connaissances : vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
• En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
• Vous participez à l'amélioration d'un mandat interne (recrutement, formation, sécurité, bonnes pratiques, offres…) pour améliorer les compétences et le bien-être de l'équipe.

Votre mindset

• Ingénieux(se), vous aimez résoudre des problèmes complexes – notamment liés à l'unification et à l'activation de la donnée client – et avez les bonnes intuitions pour aborder n'importe quel sujet technique.
• Curieux(se), vous êtes en veille constante sur les évolutions de l'écosystème martech, des design patterns data, des nouvelles réglementations sur la privacy et des outils d'activation.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes – tracking, identité, audiences – et justifier vos choix par leur impact sur la performance marketing mesurable (CAC, LTV, ROAS…).

Votre profil

• Issu(e) d'une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions data dans un contexte marketing, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des sujets SRE.
• Vous maîtrisez a minima un cloud provider ou plateforme data standards ((GCP, Azure, AWS, Databricks, Snowflake…).
• Vous avez une expérience concrète sur un ou plusieurs sujets parmi les suivants :
• CDP (Segment, Treasure data, Salesforce Data Cloud, Adobe Experience Platform, Tealium…)
• Collecte & tracking (Tag Management, server-side tagging, Consent Management Platform)
• Identity resolution et réconciliation de profils clients (offline/online, first-party data)
• Activation & intégrations martech (connexions avec des plateformes publicitaires, CRM, email, push)
• Conformité data marketing (RGPD, cookieless, privacy-by-design)
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, CDP, couches d'activation) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement

1. HR call
2. Interview 1 technique – Revue des expériences passées, modélisation de données et test SQL
3. Interview 2 business & technique – Data Marketing business case & architecture data marketing.
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d'aucune sorte, notamment de croyances, de genre, d'âge, de situation d'handicap, d'origine ethnique, d'orientation sexuelle, d'appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

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.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

Qui sommes-nous ?

Artefact est une société de conseil et d'ingénierie française spécialisée en data et IA, et leader en Europe, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies d’intelligence artificielle et de solutions data-driven. Basé à Paris, nous sommes aujourd’hui présents dans 24 pays sur tous les continents et comptons 1 800 collaborateurs. 

Notre mission est d’aider les entreprises à exploiter tout le potentiel de l’IA et de la data en développant des solutions sur-mesure adaptées à leurs enjeux métiers. En tant que pionniers dans ce domaine, nous allions expertise technologique et excellence opérationnelle, en collaborant avec les plus grands acteurs du marché. Nos clients couvrent tous les secteurs clés de l’économie – industrie, retail, luxe, grande consommation, santé, finance – et incluent des grands groupes internationaux. 

Au-delà du conseil, nous nous engageons activement pour une IA éthique et accessible. Nous avons lancé la "School of Data" pour favoriser la reconversion vers les métiers de la tech, créé un Centre de Recherche en IA à Paris et Shanghai.

Vos missions :

• Cadrage et conception technique
  • Vous traduisez les besoins métiers en exigences fonctionnelles et techniques, en collaboration étroite avec les équipes client et les Product Owners.
  • Vous concevez l'architecture technique de projets data & IA complexes, en garantissant que la solution soit simple, robuste et évolutive.
  • Vous définissez la feuille de route technique, estimez les efforts et décomposez la solution en tâches claires pour l'équipe de développement.
  • Vous rédigez les documents de conception technique et formalisez les décisions pour assurer l'alignement de toutes les parties prenantes. 

• Leadership et supervision de la livraison 
  • Vous supervisez la livraison d'un ou plusieurs streams techniques, en garantissant la qualité du code, le respect des bonnes pratiques et des délais.
  • Vous participez directement à l’implémentation du projet ainsi que sur la résolution de problèmes techniques complexes.
  • Vous agissez comme le principal point de contact technique du projet, en assurant une communication fluide et pro-active.
  • Vous organisez et animez les revues de code pour améliorer la qualité globale du projet et faire monter en compétences les ingénieurs de votre équipe y compris sur la bonne utilisation des coding agents.

• Management et mentorat 
  
  • Vous dirigez et mentorez une équipe d'ingénieurs (juniors et confirmés), en favorisant un environnement collaboratif et en identifiant les besoins de formation.
  • Vous êtes un "advocate" du partage de connaissances, vous formalisez et partagez les bonnes pratiques au sein de votre projet et plus largement au sein d'Artefact.
  • En tant que conseiller, vous suivez la progression de carrière de vos coachés et leur donnez des retours spécifiques et actionnables pour les aider à atteindre leurs objectifs.
  • Vous participer à l’amélioration d’un mandat interne (recrutement, formation, sécurité, bonnes pratiques ou autre) pour améliorer les compétences et le bien-être de l’équipe.

 Votre mindset :

• Ingénieux(se), vous aimez résoudre des problèmes complexes et avez les bonnes intuitions pour aborder n'importe quel type de sujet technique.
• Curieux(se), vous êtes en veille constante sur les nouveaux design patterns, frameworks et outils pour améliorer la productivité et la qualité du code.
• Bienveillant(e), vous prenez à cœur l'épanouissement de votre équipe, en fournissant des retours constructifs et en guidant la progression de chaque membre, notamment à travers des revues de code formatrices.
• Garant(e) de la qualité, vous avez des convictions techniques fortes et savez défendre la qualité logicielle sur le long terme, en évitant les raccourcis qui compromettent la robustesse des solutions.
• Business-oriented, vous savez vulgariser des sujets techniques complexes et justifier vos choix techniques par l'impact business qu'ils génèrent.

Votre profil :

• Issu(e) d’une formation ingénieur ou informatique, vous avez une expérience significative dans la conception, le développement et le déploiement de solutions logicielles data & IA, idéalement dans un environnement de conseil.
• Vous maîtrisez en profondeur Python, SQL, DBT ainsi que les bonnes pratiques & design patterns associés.
• Vous avez une solide expérience des technologies de conteneurisation (Docker, Kubernetes), des outils d'intégration et de déploiement continu (CI/CD) et des sujets SSRE.
• Vous maîtrisez a minima un cloud provider (GCP, Azure, AWS) et idéalement des plateformes data standards (Databricks, Snowflake…).
• Vous êtes capable de concevoir des solutions multi-systèmes (backend, data platform, IA & IA Gen) et d'orchestrer leurs interactions.
• Vous maîtrisez l'anglais professionnel.

Process de recrutement : 

1. HR call 
2. Interview 1 technique - exercice Python
3. Interview 2 technique - architecture & cloud - test SQL
4. Interview 3 fit

Chez Artefact, nous recrutons nos collaborateurs uniquement en fonction de nos besoins et des qualités propres de chaque candidat. Nous assurons le développement de leurs compétences professionnelles et de leurs responsabilités sans discrimination d’aucune sorte, notamment de croyances, de genre, d’âge, de situation d'handicap, d’origine ethnique, d’orientation sexuelle, d’appartenance à une organisation politique, religieuse, syndicale ou à une minorité.

What you will be doing: Key responsibilities

As a Data Analytics Manager, your role will encompass:

Deliver the highest standards of quality on Data marketing projects

• Pilot multidisciplinary teams (consultants, data scientists, data analysts, software engineers, media traders)
• Develop robust, industry-leading measurement and analytics projects that enable clients with visibility across physical and digital customer journeys (online and offline)
• Planning, leading and delivering advanced analytics strategy and solutions for clients including e-commerce, 3rd party tool implementations, and advanced modeling.
• Identify and support the delivery of suitable statistical data analysis techniques, to provide recommendations for clients which exceed performance expectations and maximizes ROI
• Explore automation techniques that create efficiencies and improve ROI (both internally and for clients) such as scripting, tool development or better client reporting methods
• Act as an internal consultant on analytics for significant projects, helping other teams to shape the very best solutions
• Lead through the ‘pitch ownership’ and by taking an ‘analytics lead’ role on new business pitches

Data Marketing and Analytics leadership

• Lead data analytics development, defining and communicating a clear strategy for the team and the value it will add to the agency
• Work together with the data consultants to champion analytics development and associated platforms on three fronts – internally to the agency, externally to clients and to represent Artefact’s position to the wider marketing community
• Lead and develop roadmaps for our analytics offering, process, and techniques and develop best practice documentation
• Develop review and sign off processes to ensure analytics work is always of the highest possible quality
• Responsible for Artefact being known as exceptional in analytics in the wider market. Actively seek to build Artefact’s profile within the digital marketing community. 

Qualifications: Education & experience required

Core requirements

• 5+ years of hands-on experience in a data-driven environment.
• Strong expertise in at least one of the following domains:

       ◦  Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset.

       ◦  Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks.

       ◦  Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms.

       ◦  Low-Code / No-Code Data Science: Dataiku, Copilot Studio, or similar platforms.

• Solid foundation in SQL and Python.
• Familiarity with Git and software engineering fundamentals (versioning, testing, code quality).
• Experience working in cloud environments (GCP, Azure, or AWS).

Nice to have

Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces), exposure to multiple domains above, knowledge of statistics and machine learning fundamentals.

Beyond technical expertise, we value: intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication to build client trust.

Our recruitment process

1. HR call
2. Technical Interview
3. Use Case Interview
4. Fit Interview

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.

SLSQ227R192

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers in France rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.

As we continue our rapid expansion in France, we are looking for a creative, execution-oriented Strategic Enterprise Hunter Account Executive to join our team and maximize the incredible market opportunity for Databricks in the region. Reporting to the Director of Enterprise Sales, Hunting Team, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts.

The impact you will have:

• Assess your list of assigned accounts and develop a strategy to execute against it
• Build a customer base, identifying and closing new logo opportunities
• Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
• Identify land opportunities and develop the expand / consumption use cases.
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
• Build exceptional value with all engagements to guide successful negotiations to close point

What we look for:

• Proven experience selling SaaS solutions to Enterprise Customers
• Extensive experience and strong performance in new logo hunting
• Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
• Successful experience selling complex software deals and quota over-achievement
• Understanding of consumption based land and expand sales models is advantageous
• Knowledge of the Data & AI space with some technology sales experience
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
• Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
• Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
• Fluent French and business English required

SLSQ227R172

Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.

Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.

We are looking for a creative, delivery-oriented Named Enterprise Account Executive to join the team in France to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners.

You will report to the FSI Director, Enterprise Sales, France. 

The impact you will have:

• You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals
• You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform
• You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement
• You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions

What we look for:

• Extensive experience selling complex solutions to Enterprise Customers
• You will have experience managing and leading complex, federated sales campaigns in major accounts
• You will have experience working in Data, Cloud industries with some technical sales experience
• Proof of exceeding sales quotas in high-growth Enterprise software companies 
• You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams
• You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
• Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan
• Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
• Bachelor's Degree or relevant work experience
• Fluent French and business English is required

SLSQ226R197

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers in France rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.

We are looking for a creative Enterprise Hunter Account Executive to join the team in France to maximise the phenomenal market opportunity that exists for Databricks. Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts.

The impact you will have:

• Assess your list of assigned accounts and develop a strategy to execute against it
• Build a customer base, identifying and closing new logo opportunities
• Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
• Identify land opportunities and develop the expand / consumption use cases.
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
• Build exceptional value with all engagements to guide successful negotiations to close point

What we look for:

• Proven experience selling SaaS solutions to Enterprise Customers
• Extensive experience and strong performance in new logo hunting
• Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
• Successful experience selling complex software deals and quota over-achievement
• Understanding of consumption based land and expand sales models is advantageous
• Knowledge of the Data & AI space with some technology sales experience
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
• Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
• Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
• Fluent French and business English required.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) based in Paris or Bordeaux with :

- 4 days onsite per week 

- 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI), based in Paris or Bordeaux with :

- 4 days onsite per week 

- 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

FEQ227R177

At Databricks, our core values are at the heart of everything we do. Our culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data and Intelligence Platform can help customers solve their complex data challenges.

You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Passion for delivering technical propositions, identifying customers' pain points and explaining essential areas for business value to develop a trusted advisor skillset.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced Data Engineering and/or Data science use cases.
• Experience diving deeper into solution architecture and expertise with at least one major public cloud platform.
• Code in a core programming language like Python, Java, or Scala.
• A foundational understanding of Apache Spark™ architecture is preferable; hands-on skills will benefit the role.

Notes on mandatory requirements:

• Flexibility to travel (up to 20-30% as required for customer meetings, events, and training).
• Business proficiency in French and English is required. Fluency in additional regional languages may be advantageous.

SLSQ327R222

As part of our accelerating growth, Databricks is looking for a dynamic Named Hunter Account Executive to join the team. This exciting Sales role will make an important impact on revenue and the expansion of our business in France.
As an Account Executive, your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within a specific vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts.

The impact you will have:

• Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Accounts across all industries
• Prospect, identify, and source new sales opportunities, building pipeline individually and with the Databricks SDR team
• Engage with business and technical decision-makers and lead them through the evaluation and buying process
• Exceed individual activity, pipeline, and annual revenue targets
• Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs)
• Drive customer success and upsell in existing customers
• Create a Territory Strategy focused on the public sector industry and other industries.

• Proven experience selling Data/AI/SaaS solutions in the French market
• Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
• Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology
• Solution and business-outcomes-focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
• Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
• FSI industry knowledge is a plus
• Proven success and upward trajectory in whatever you have done
• Fluency in French and English

SLSQ227R700

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As Go-to-Market Leader for EMEA Financial Services, you will drive the go-to-market strategy to grow the Banking/Payments, Capital Markets and Insurance businesses. You will be the domain expert and business executive for financial services within Databricks. You will set the vision, build assets for field productivity, maintain executive relationships with customers and partners, and work with a cross-functional team across Databricks. You have a passion for how Data+AI will transform the banking industry, be familiar with unique challenges that European Financial Service Institutions (FSIs) face, and be effective at influencing decision makers across customers and partners.

This job will require travel for conferences, customer and team meetings. You will report to the VP of Financial Services, Cyber Security and Sustainability GTM.

The impact you will have

• Own the strategy for Financial Services GTM - create growth execution plan, drive C-level relationships with customers, and drive new customers logos and revenue growth
• Work with the sales and pre-sales teams to create account-level, segment-level and region-level go-to-market plans across the globe for the vertical
• Work with partners to develop strategic C-level relationships with ISV and CSI partners
• Identify operational gaps in each sub-segment of the GTM motion, be data-driven about quantifying business opportunities and execute improvement plans
• Develop comprehensive sub-vertical sales plays with Sales Programs teams to build scalable and geographically tailored motions to drive growth in EMEA.
• Act as a thought leader in the industry by authoring white-papers, speaking at events, and engaging with C-suite
• Become trusted advisor to multiple stakeholders within Databricks from product, sales, pre-sales, marketing, to partner teams.
• Work closely with Sales Enablement teams to boost productivity of verticalised sales and pre-sales teams
• Partner with marketing to develop Financial Services content, collateral, blogs and demand generation plan
• Keynote marquee industry events and plan and execute Databricks events in Financial Services
• Ensure Databricks has security messaging and positioning for Financial Services

What we look for

• Experience working as an executive (CxO) in Banking for 10+ years.
• Intimate knowledge of key global regulations in Banking/Payments, Capital Markets and Insurance industries with a particular focus on European regulations
• Experience driving change at large FSI institutions both from technical and business perspective with a strong understanding of how large FSIs make decisions
• Strong customer-facing presence (CXO, IT and Business Leaders), ability to cultivate executive relationships and open doors for the field
• Experience working in with cross-functional resources to built-out Vertical Solutions on an existing technology platform that has generated revenue and value for the customer
• Experience working with sales and technical pre-sales, building go-to-market sales kits to drive market penetration
• Strong knowledge of the technology landscape in banking/payments.
• Hands-on experience with program managing vertical solutions (which includes: collecting, tracking and prioritising vertical business requirements, working with technical resources to ensure timelines are met, collaborating with marketing to develop marketing assets and event planning, working with partner teams to track partner relationship progress ensuring key milestones are met)
• Demonstrated ability to enable and coach sales teams on how to position technology to customers in Financial Services

SLSQ227R738

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra competitive landscape.

As we continue our rapid expansion across South Europe, we are looking for a creative, consultative, results-driven Named Account Executive to join our team in France. Reporting to our Director of Enterprise Sales, you will focus on developing established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class accounts. By leveraging your expertise in Data and AI, you will provide genuine value to these accounts while driving a highly effective execution strategy.

The impact you'll have:

• Strategic Account Ownership: Drive territory growth by developing and executing high-impact strategies to consistently exceed revenue and consumption targets.
• Executive Influence: Establish yourself as a trusted advisor to C-level stakeholders, aligning Databricks’ Data and AI capabilities with their core business objectives.
• Value-Driven Expansion: Proactively identify and scale high-value use cases to accelerate platform consumption and portfolio growth.
• Cross-Functional Orchestration: Mobilise and lead internal expert teams to maximise Databricks’ footprint and impact across your account ecosystem.
• Commercial Excellence: Deliver exceptional business value throughout the customer journey to secure successful, high-stakes negotiations.
• Market Leadership: Navigate the French Manufacturing landscape to convert complex technical requirements into long-term strategic partnerships.

What we look for:

• Proven track record of selling Data & AI, Big Data, or complex cloud-based solutions to large enterprise organizations.
• Successful history of meeting and exceeding sales quotas and KPIs within the French Manufacturing sector.
• Expertise in navigating complex software deals, specifically those involving multiple stakeholders and high-value contracts.
• Deep understanding of consumption-based "land and expand" sales models, focusing on driving long-term platform adoption.
• Evidence of creating market demand that delivers substantial, measurable business value to the client.
• Mastery of robust sales methodologies (e.g., MEDDPICC, Value Selling, Command of the Message) and accurate forecasting.
• Skill in building effective "Champions" and leading collaborative internal teams to execute a winning territory plan.
• Strategic partner management, with experience developing and leveraging a partner ecosystem to drive mutual success.
• Ability to identify critical use cases and buying centers within manufacturing to increase the impact of Databricks.
• Willing and able to travel to customer sites, industry and company events - in region and Internationally.
• Full professional fluency in both French and English is essential.

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture.