The role

Nebius is building the next generation Full-stack AI cloud platform to power model training, post-training, and large-scale inference for AI-native companies and enterprises. As we expand our presence across the global AI startup ecosystem, we are looking for an Industry Partnerships Lead to build strategic relationships with leading technology companies, enterprises, and industry platforms. 

This role focuses on developing partnerships that accelerate adoption of Nebius infrastructure by collaborating with leading AI-native companies, digital-native companies, and enterprises that share the same startup ICP, while creating long-term ecosystem value through joint go-to-market initiatives and industry collaboration. 

You will work closely with the venture partnerships, community, sales, marketing, channel and BDRs to identify high-impact opportunities and build scalable partnership programs. 

You’re welcome to work hybrid from London or remote from Paris.

Your responsibilities will include: 

Develop strategic industry partnerships 

• Identify and build relationships with leading AI-native startups, digital-natives, enterprises, and ecosystem partners across priority industries with the shared startup ICP. 
• Establish Nebius as a strategic infrastructure partner within emerging AI ecosystems. 

Drive joint go-to-market initiatives 

• Create and execute partnership initiatives such as joint programs, campaigns, ecosystem collaborations, and industry events. 
• Work with internal sales and marketing teams to translate partnerships into qualified opportunities and pipeline. 

Build industry-focused ecosystem programs 

• Design programs that connect industry leaders with founders, startups, researchers building on Nebius. 
• Support vertical initiatives across key sectors such as Robotics & physical AI, HCLS, Media & Entertainment, Retail, Gaming and more.  

Enable cross-functional collaboration 

• Partner closely with sales, marketing, channels, BDR and CSA teams to ensure alignment on partnership opportunities and customer needs. 
• Establish clear frameworks and playbook for partner engagement and internal collaboration. 

Operationalize partnership workflows 

• Track partner engagement, pipeline contribution, and program outcomes through CRM systems and internal processes. 
• Continuously refine partnership strategy based on ecosystem insights and market developments. 

Pipeline Generation 

• Build systematic programs and engagement models with industry partners to accelerate startup customer adoption and conversion. 
• Identify and activate shared ICP opportunities between Nebius and industry partners to generate qualified startup pipeline. 
• Design joint initiatives (e.g., partner-led programs, co-hosted events, ecosystem initiatives, or sector-focused programs) that drive founder and researcher engagement. 

We expect you to have: 

• 7+ years of experience in strategic partnerships, business development, ecosystem strategy, or GTM roles 
• Experience working with AI infrastructure, cloud platforms, or tech ecosystems 
• Strong understanding of startup and venture ecosystems 
• Proven ability to build strategic partnerships that drive adoption, pipeline, or revenue 
• Experience working in high-growth startups, scale-ups, or technology companies 
• Ability to collaborate across sales, marketing, product, and engineering teams 
• Familiarity with CRM tools such as Salesforce or HubSpot 

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.

Poste à pourvoir au sein de Capfi, pour notre secteur Industrie & Services

Industrie et Service, apporte expertises et services aux entreprises, pour un impact business. En créant des solutions innovantes, durables et adaptées aux besoins. En protégeant les SI et pérennisant les activités. En augmentant la performance grâce aux données.

Ce poste est fait pour vous si :

• Vous avez une première expérience en développement et vous maîtrisez une ou plusieurs technologies de notre Stack technique 

-Frontend : Angular 7-15

-Backend : JAVAEE, Spring Boot, Spring Security, Spring Data, Spring Cloud, Hibernate...

-Cloud : Azure, AWS, Firebase, GCP, …

-CI/CD : Docker , Git, Jenkins, Kubernetes

-Testing : Jasmine, Junit, Mocha, Jest

• Synthétique, vous visualisez les idées et vous comprenez les enjeux de nos clients, afin de construire des solutions adaptées. Vous savez communiquer avec des interlocuteurs non techniques et faire preuve d’un bon relationnel.
• Efficace, organisé et rigoureux, vous êtes attentif à la qualité, au “clean code” et aux bonnes pratiques.
• Vous êtes titulaire d’un diplôme de niveau Bac +5.

Vos missions : 

En tant que développeur Fullstack expérimenté, vous rejoindrez notre pôle technologique et vous accompagnerez nos clients sur différentes missions telles que :

• La Conception d’applications intégrant des technologies pertinentes dans les développements
• Le développement d’applications, Vous codez avec une équipe impliquée et portez la vision technique du produit tout en vous assurant que l’aspect fonctionnel soit bien intégré dans les applications
• La mise en place de bonnes pratiques de développement au sein du pôle (Tests, automatisation , revue de code, …) 
• L’industrialisation des processus à l’aide de pratiques DevOps. (Participer ou mettre en oeuvre du DevOps et des solutions de CI/CD) 

Ce que nous avons à vous offrir

CAPFI est une entreprise vivante qui place le collectif et le partage entre pairs au cœur de sa culture. Nous vous proposons un environnement de travail flexible dans l’organisation et agile dans le choix de vos missions. CAPFI c’est aussi : 

• Vous laisser libre de choisir votre manager ;
• Vous offrir la possibilité de suivre des formations certifiantes ;
• Vous permettre de rejoindre les Tribus et de faire vivre l’énergie collective et l’expertise de CAPFI ;
• Vous permettre de consacrer un peu de votre temps pour aider les autres, via NQT, Emmaüs Connect et Le Congé Solidaire, des initiatives dont CAPFI est partenaire.

Chez CAPFI, nous mettons aussi un point d’honneur à ce que tous nos talents évoluent dans un environnement de travail sain, serein et respectueux des exigences sociétales et environnementales. C’est pourquoi :

• Nous sommes labellisés B Corp ;
• Nous sommes signataires de la charte sur l’équilibre vie professionnelle – vie personnelle .

Et comme la diversité des profils fait la richesse de notre expertise, nous traitons toutes les candidatures de façon égale en nous concentrant uniquement sur les compétences du candidat et non sur son origine, son âge, son identité de genre, son invalidité ou sa religion. 

Who we are

The role 

Collaborating closely with our dynamic team of product designers and engineers, you will play a pivotal role in shaping the foundation of frontend at Helsing. Embracing a hands-on approach, you'll not only lead by example, but also spearhead the development and expansion of a tight-knit team that works across a wide-range of internal teams and products. Your primary emphasis will be on enhancing usability, creating re-usable foundations for multiple front-ends and optimising the end-user experience across the entire company.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Own the user interface end-to-end, from early wireframes and prototypes through to performant, production-ready code. You'll work closely with product and UX colleagues to shape how users interact with our tools. We have relatively few frontend engineers at Helsing; this means that we operate at a high level of autonomy and there are plenty of opportunities for impactful work.

• Propose and implement new features, capabilities, tooling, visualizations, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Establish and evolve our React component library, ensuring consistency, reusability, and alignment with our visual design standards across multiple front-ends.

• Collaborate with others beyond your team and share knowledge with the wider frontend community at Helsing. Contribute to establishing our frontend engineering standards. Build or adopt tools that help enforce these standards, or make our frontend engineers more efficient in a different way.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours or reading groups (e.g., on React or TypeScript), etc. to help each other get better with time.

• Connect with, understand, and make changes to backend systems as needed. Our backends are primarily written in Rust, and you'll need to be comfortable navigating unfamiliar codebases to unblock yourself and improve integrations. Rust experience is not a prerequisite to this role, though - you can learn that over time as needed.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant frontend code - ideally using TypeScript and React.

• Are experienced with APIs and server-client communication like REST and GraphQL.

• Have experience with running a live production software.

• Are passionate about staying on top of current development best practices, libraries and frameworks.

• Are comfortable working with unfamiliar backends, ideally with some exposure to languages like Rust.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

Nice to have

• Significant recent experience with React.

• Familiarity with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers.

• Established understanding of modern JS bundlers, such as Vite, and experience maintaining frontend infrastructure.

• Experience with styling utility-class libraries such as TailwindCSS and building reusable React component libraries.

• Data visualization expertise (e.g., D3.js, custom charting, or complex dashboard design).

• Background in designing software for aerospace, defense, or AI end users.

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Remote

The REDAPL organization is seeking an experienced and strategic leader to oversee our Resource Graph team. REDAPL is Datadog’s main platform for tracking our customers’ infrastructure resources and relationships. REDAPL Resource Graph also plays a key role in serving Datadog’s Security products.

This position will play a critical role in driving the future of our data infrastructure and ensuring the highest level of performance and reliability for our systems. As the team is also quickly growing, you will also be involved in hiring the best candidates for this team.

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

What You’ll Do:

• Strategic Leadership: Drive the vision and strategy for the teams, ensuring alignment with the overall goals.
• Team Oversight: Provide guidance and support to the ICs in the team, fostering a collaborative and high-performing work environment.
• Technical Excellence: Ensure the teams maintain high standards of code quality, performance, and reliability across all systems and services.
• Innovation and Improvement: Identify opportunities for innovation and continuous improvement within the datastore and serving domains, promoting best practices and new technologies.
• Talent Management: Lead hiring efforts to attract and retain top talent, ensuring the growth and development of team members through mentoring and professional development opportunities.
• Cross-functional Collaboration: Work closely with other teams and stakeholders to align on priorities, address challenges, and deliver high-impact solutions.
  
  

Who You Are: 

• You have proven experience managing teams that shipped and operated business-critical systems.
• You have demonstrated ability in designing, building, and operating distributed systems to solve problems at scale.
• You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph.
• Managed a team for over 2 years.
• You are an excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders.
• You are comfortable in a fast-paced, high-growth environment, able to adapt strategies and solutions in response to emerging challenges and opportunities.
• Skilled in setting team goals and prioritizing features that align with business needs.
• Effective at giving and receiving feedback, enhancing the work environment and team collaborations.
• Possess excellent teamwork, communication, and technical problem-solving skills to contribute to multidisciplinary teams.
• Demonstrated leadership in guiding teams through the full design process from concept to launch, with minimal oversight.
• Maintain a growth mindset, actively seeking learning opportunities and new challenges.
• Able to clearly articulate design decisions and strategies 
• Proven ability to envision long-term goals and focus efforts to achieve them.
• Efficient in optimizing team workflows and processes to enhance team output and collaboration.
• Known for balancing fast iteration, strategic ambiguity, and high-quality outcomes in a dynamic business environment.
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus points: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Remote

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

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

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build.
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

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

#LI-Hybrid

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• 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 40-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 1 hour technical discussion with a member of the Data Science team and Engineering 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.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

 Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.

We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.

Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory (ADF), GoodData, Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both bulk and real-time processing.

WHAT YOU'LL DO

• Your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform.
• Build and maintain high-performance data pipelines, contributing to a robust data and application architecture.
• Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
• Operate and enhance our data infrastructure, ensuring seamless data movement across platforms.
• Support the evaluation and integration of tools that empower engineering and data science teams.

WHAT YOU BRING

• 5+ years of experience in software development or data engineering in cloud-based environments.
• Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience would be nice to have
• Very good grasp of Infra-as-Code (IaC) and Terraform
• Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
• Experience designing scalable and robust data platforms.
• Familiarity with data modeling techniques (e.g., star schema, data vault).
• Experience with distributed data systems and Database optimization
• Comfortable working with NoSQL data stores and SQL Server.
• Experience in ETL processes and orchestration tools like Apache Airflow etc
• A passion for continuous learning, mentoring, and solving complex problems.
• Excellent communication skills in English.

HIRING PROCESS

• HR Screening
• Hiring manager Screening
• Technical Screening with an Architect
• Second Technical Screening with a Tech Lead or Data Engineer
• Final Round with Hiring Manager

#LI-RH1 #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

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

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 TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

Notre Creative Studio recherche un·e Lead Email Developer (f/m/d) basé·e à Lille.

Après avoir déployé un système modulaire dans plus de 70 pays, notre défi pour 2026 est de migrer vers un modèle drag-and-drop "in-house" pour simplifier l'expérience utilisateur à l'extrême. Nous embauchons pour porter cette vision Inner Source et permettre à chaque coéquipier de créer des emails hyper-personnalisés en un temps record. Rejoins une équipe passionnée où le partage de connaissances et l'innovation technologique sont nos rituels quotidiens.

TA FUTURE CONTRIBUTION

En tant que pilier technique de l'équipe, tu seras responsable de l'évolution de notre plateforme (plus de 100 messages internationalisés et 200 blocs d’hyper-personnalisation). Ton rôle est de rendre nos outils accessibles à tous·tes les utilisateur·ices, quel que soit leur niveau technique.

• Tactique & Delivery : Transformer les besoins business en roadmaps techniques en binôme avec le Product Management.
• Architecture & Résilience : Concevoir un Email Design System capable d'encaisser 1 million d'envois quotidiens avec une robustesse à toute épreuve.
• Jeu collectif : Agir comme un "multiplicateur technique" en coachant les squads de développeurs partenaires via des revues de code et du mentorat.
• Excellence du Geste : Garantir la qualité logicielle (Atomic Design, Clean Code) et superviser l'implémentation du BDD pour des déploiements sans faute.
• Culture DevSecOps : Piloter les déploiements via des pipelines CI/CD optimisés et renforcer l'observabilité (monitoring/alerting).

Stack Technique

Decathlon est une organisation mondiale avec des hubs à Amsterdam, Paris, Lille et Nantes, proposant des solutions digitales pour 70 pays. Pour gagner ce match, voici ton "sac de sport" technologique :

• Email Framework : Framework Maizzle (basé sur tailwind) boosté aux stéroïdes (pour une agilité maximale).
• Email Templating : Salesforce Marketing Cloud (AMPScript, SSJS) "superchargé" par nos propres librairies maison.
• Langages de prédilection : HTML, CSS, TypeScript, Bash, Python.
• Outillage Full-Stack : Frontends basés sur React et Next.js, Backends et CLI reposant sur NestJs.
• Persistence & Data : PostgreSQL, Redis.
• Observabilité : Datadog pour ne rien laisser passer.
• Cloud & Infrastructure : GCP, Aiven, Docker, Kubernetes (K8S), Flux (GitOps).
• Qualité & CI/CD : GitHub, GitHub Actions, SonarCloud, Cucumber, Gherkin, Playwright.
• Jeu collectif : Slack, Google Suite, Confluence, Jira.

CE QUE TU APPORTES

• Expérience Terrain : Plus de 5 ans d'expérience en tant qu'Email Developer dans un contexte CRM international. Tu as déjà performé sur Salesforce Marketing Cloud ou un ESP de même envergure.
• Maîtrise du Geste : Expert·e en Atomic Design et en composition de blocs. Tu sais jouer avec TypeScript pour moduler ton code et créer des composants réutilisables à l'infini.
• Vision Tactique : Une capacité hors pair pour orchestrer des parcours emails automatisés à grande échelle via un ESP.
• Esprit "You build it, you run it" : Pour toi, la responsabilité ne s'arrête pas au coup de sifflet final. Tu assures le monitoring, l'alerting et l'analyse d'incidents (RCA) avec un Operational Mindset d'acier.
• Excellence Technique : Adepte de l'entraînement rigoureux, tu maîtrises la CI/CD, le TDD/BDD et toutes les couches de tests (Unitaires, Intégration, Charge).
• Capitaine de Jeu : Tu sais driver des projets transverses et faire monter l'équipe en compétences grâce à des revues de code exigeantes et bienveillantes.

Les "Game Changers" (Le petit plus qui fait la différence)

• Infrastructure & Cloud : Tu es à l'aise avec Kubernetes, Terraform et GCP pour garantir une scalabilité mondiale.
• Profil Multi-sport (Full-Stack) : Tu maîtrises le Front et le Back (Hexagonal Architecture, Clean Code) sur au moins un framework mainstream.
• Culture Data : Tu as un intérêt marqué pour la Data Stack. Car tu le sais : pas de data, pas de personnalisation, pas de victoire !

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille, Paris ou Amsterdam ;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).

Who are we?

iBanFirst is a fast-growing European fintech that is revolutionizing international payments for SMEs. Founded in 2016, our platform empowers Small & Medium Multinationals (SMMs) to regain control over their payment operations: currency conversion (FX), international transactions, and foreign exchange risk management across 140 countries — quickly, transparently, and securely.

We make life easier for SMEs through an advanced technology platform (automation, APIs, AI…) combined with dedicated expertise, offering the best of both worlds: the agility of a SaaS solution and the reliability of a trusted partner.

By simplifying complexity, iBanFirst helps thousands of bold companies seize global business opportunities with peace of mind — delivering simplicity, transparency, and security.

Key figures

• 350+ employees across 14 offices in 11 European countries
• 30+ nationalities represented, average age: 32
• 10,000 corporate clients trust us
• €80M in revenue in 2025, with a target of around €100M in 2026
• Profitable for nearly two years
• Ranked for 6 consecutive years in the Financial Times FT1000, among the fastest-growing European companies
• An NPS of 87.5 — an exceptional score in our industry that reflects enthusiastic client feedback on the simplicity, speed, and quality of our service

A strong culture built around 4 core values

• Team First: The complexity of our industry demands collective intelligence. We prioritize cooperation, transparency, and knowledge sharing. Success is a team effort, and decisions are made together.
• Tenacity: We're transforming a challenging and highly regulated market. It requires endurance, fast learning, and resilience — qualities rooted in our entrepreneurial DNA.
• Transformation: Innovation is not a buzzword; it's a necessity in a constantly shifting and strategic sector. We innovate with intent: every technical, product, or organizational improvement is designed for real impact.
• Trust: Trust is the foundation of everything we build — with our clients and, above all, internally. It's driven by ownership, autonomy, and a shared commitment to transparency, rigor, and reliability.

Why join us?

• We operate at the heart of a strategic and fast-evolving sector: international payments for SMEs — a complex, high-potential market.
• We're driven by a meaningful mission: helping bold "Small & Medium Multinationals" succeed globally.
• Our platform integrates cutting-edge technologies (AI, automation…), making it an ideal playground to test, learn, and innovate continuously.
• You'll join an agile environment where your expertise has tangible impact, working alongside talent from top financial institutions.
• iBanFirst is profitable and backed by long-term investors:
  • Xavier Niel and Bpifrance, historical shareholders, have supported and trusted us from the beginning
  • In 2021, the entry of Marlin Equity Partners marked a new chapter in our international ambitions

Joining iBanFirst means joining a profitable, international, fast-growing tech company. It's also a chance to learn, grow, and contribute directly to a shared ambition: simplifying international finance for SMEs.

The Role

Recruitment Context

We are opening this position with the strategic objective of strengthening the seniority level of our Data Analytics team. We are looking for experienced profiles who can take full ownership of cross-functional projects, act as true business partners, and help elevate the team's overall impact across the organization.

Manager & Team

You will report to Fatimata Sall, Head of Data at iBanFirst.

You'll be joining a Data Analytics team of 7 people, including:

• 2 Team Lead Data Analysts
• 3 Data Analysts

The team collaborates closely with all business functions: Finance, Sales, Compliance, Product, Marketing, and Operations. 2026 is an exciting year for the team, with three strategic priorities driving our roadmap: enabling self-service analytics, strengthening data infrastructure and processes, and raising the bar on data quality and governance. You will play a central role in all three.

What will you do?

We are looking for a passionate and highly motivated Senior Data Analyst to join our Data Analytics team. In this role, you will act as a strategic business partner across all functions, driving data-driven decision-making and delivering actionable insights that shape iBanFirst's growth.

You will bridge the gap between business needs and technical implementation, leading complex analytics projects end-to-end while championing scalable, high-quality data practices.

Task breakdown (indicative):

• 70% — Business partnering, analysis & reporting: Work hand-in-hand with business teams to understand their needs, translate them into analytical frameworks, and lead complex cross-functional data projects. Build and maintain strategic dashboards and reports; perform advanced analyses (cohort, attribution, forecasting) and deliver clear recommendations.
• 30% — Technical contribution & data quality: Write high-quality SQL, contribute to data models, and help drive data governance and self-service & AI initiatives.

Key responsibilities:

Strategic Analytics & Business Partnership

• Act as the go-to analytics expert for all business domains (Finance, Sales, Compliance, Product, Marketing, Operations)
• Translate complex business challenges into analytical frameworks and deliver actionable insights
• Proactively identify improvement opportunities and lead strategic data initiatives end-to-end
• Foster a data-driven culture through training, best practice sharing, and stakeholder enablement

Advanced Analysis & Reporting

• Lead complex, cross-functional analytics projects involving multiple data sources
• Build strategic dashboards and reports that empower teams to make data-driven decisions autonomously
• Perform advanced ad-hoc analyses and deliver clear, actionable recommendations

Technical Excellence & Scalability

• Write high-quality SQL code following best practices (version control, code reviews, testing)
• Design and build robust, scalable data models using dbt and Snowflake
• Enable self-service analytics by building reusable data products that reduce dependency on the data team
• Contribute to improving data quality standards and governance practices across the team

Tools you'll work with: Snowflake, dbt (Data Build Tool), Tableau, Metabase, Git, Dust

Role Objectives

First 3 months:

• Get up to speed with our data stack, business context, and team ways of working
• Build strong relationships with key business stakeholders
• Take ownership of initial projects and start delivering value independently

First 6 months:

• Operate fully autonomously on your scope of business domains
• Lead at least one cross-functional data project end-to-end
• Actively contribute to self-service and data quality initiatives

First 12 months:

• Be recognized as a strategic data partner by the business teams you support
• Contribute meaningfully to the evolution of team processes and standards
• Support junior team members and help raise the overall seniority of the team

Objectives are reviewed quarterly and combine both qualitative and quantitative metrics, aligned with the team's three strategic pillars.

What do you bring?

Experience:

• 5+ years of experience as a Data Analyst, ideally in a start-up or scale-up environment
• Proven track record delivering complex analytics projects with measurable business impact

Must-have skills:

• Outstanding communication and interpersonal skills — you know how to make data accessible to non-technical audiences and build strong relationships with business stakeholders
• Strong project management skills — you can independently structure and drive long-term, multi-stakeholder data projects
• Leadership mindset — you're comfortable driving change, supporting teams through transformation, and taking ownership
• Technical proficiency: expert SQL (Snowflake is a plus), dbt or similar transformation tools, and strong experience with Tableau and/or Metabase
• Business acumen — you understand the broader context behind the numbers and can translate requirements into analytical frameworks
• Fluent in both French and English (the team is predominantly French-speaking)
• Passion for code quality, scalability, and self-service analytics
• Comfortable with ambiguity and fast-paced environments

Nice to have:

• Experience in FinTech or financial services (transactional data, regulatory reporting)
• Previous management or mentoring experience
• Knowledge of Python or data quality frameworks

What do we offer?

Contract & benefits

• Permanent contract (CDI)
• Office location: Paris
• Hybrid work policy: Approximately 3 days per week in the office. The team typically aligns on office days together (usually Tuesday and Thursday), with flexibility for individual needs.
• Compensation: €60,000 to €65,000 gross annual salary
• Swile meal card
• Axa health insurance
• Commuter benefits
• RTT (extra paid days off)
• Gymlib subscription
• Paid parental leave

Grow at iBanFirst

• Build deep expertise in the fast-growing FinTech/Paytech industry with a modern, cutting-edge data stack (Snowflake, dbt, Tableau/Metabase, Airflow, Catalog, Dust)
• Grow your data analytics and business partnering skills in a scaling international company
• Enjoy autonomy and ownership on impactful projects — your work directly influences strategic decisions across the company
• Thrive in a multicultural environment, with 14 offices across Europe and colleagues from diverse backgrounds
• Join a tight-knit, high-performing data team known for its great team spirit and genuine collaboration
• Participate in company-wide events: team offsites, company parties, and regular social activities

Recruitment Process

1. Screening call with Malorie Petitjean (Talent Acquisition Specialist)

— 30 minutes – remote (video)

— Purpose: General fit, motivation, salary expectations, availability

2. In-depth interview with Fatimata Sall (Head of Data) + Alex B. (Senior Data Analyst)

— 1 hour – in-person (preferred)

— Purpose: Role-specific skills, business acumen, technical depth, collaboration style. Includes a live case discussion (no take-home assignment) to assess problem-solving approach and analytical thinking. Opportunity to meet part of the team informally.

3. Final round with Julien Molez (N+2)

— 45 minutes – remote (video)

— Purpose: Leadership validation, strategic alignment, long-term potential

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.

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, Proton Pass, Proton Wallet, and Lumo by Proton. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

About Lumo

Lumo is Proton's privacy-first AI assistant that fundamentally reimagines how AI should work - empowering users without exploiting their data. Unlike traditional AI platforms that harvest user conversations for training and profit, Lumo operates with zero-access encryption, keeps no server-side logs, and ensures that conversations remain completely confidential.

Built by the team behind Proton Mail, Proton VPN, and backed by the nonprofit Proton Foundation, Lumo represents a paradigm shift in AI development. We believe the benefits of AI are too great to miss, but the privacy risks of current implementations are too serious to ignore. Lumo is based on open-source language models, operates from Proton's European datacenters, and provides unprecedented transparency in the AI space.

Our Mission: To deliver the full power of artificial intelligence while maintaining user privacy as an uncompromising core principle. We're building an AI that only works for you, not the other way around - where your conversations remain confidential and your data stays fully under your control, never shared, sold, or stolen.

Our Technology: Lumo implements multiple layers of encryption throughout the entire pipeline, from device-to-server communication through to long-term storage, creating a privacy architecture that's simply much stronger than anything else on the market. The platform runs on open-source models including Mistral's Nemo and Nvidia's OpenHands 32B, with full source code transparency.

Role Summary

We are seeking a passionate and skilled Frontend Engineer to join our growing Lumo AI team. You’ll work across all functions of Lumo, turning designs into responsive, fast and reliable interfaces. Your code will shape the day‑to‑day experience of users, making it smoother, clearer, and more enjoyable.

Full Stack Engineering
Create, evolve and sustain high‑performance features that tie together the front‑end and back‑end layers of our modern stack. Ensure every component scales smoothly and integrates cleanly.

What You Will Do

• Turn UI mockups into production‑ready React components.
• Integrate those components with our backend services using TypeScript and modern data‑fetching patterns.
• Optimize performance so pages load instantly even on slower connections.
• Collaborate closely with product managers, designers and other engineers to ship features end to end.
• Own the quality of your work: write tests, document decisions and participate in code reviews.
• Spot friction in the user journey and fix it before it becomes a complaint.

What we expect

• Strong expertise in React.
• Solid grasp of TypeScript and JavaScript fundamentals.
• Experience with state‑management and data‑fetching libraries.
• Ability to produce clean, maintainable code without cutting corners.
• Good communication skills and a willingness to give and receive honest feedback.
• A proactive attitude – you identify problems and solve them, not wait for direction.

Nice to have

• Exposure to AI or large language model products.
• Python scripting for tooling or data tasks.
• Knowledge of distributed systems and observability stacks.
• Hands‑on experience with design tools such as Figma.

Why Join Lumo

You'll be joining a mission-driven team at Proton, trusted by over 100 million people worldwide and owned by the nonprofit Proton Foundation. This role offers the opportunity to shape the future of AI by building fullstack infrastructure that proves privacy, performance, and reliability aren't mutually exclusive.

As a Fullstack Applied AI Engineer at Lumo, you'll own the complete technical stack powering privacy-first AI experiences, ensuring millions of users can rely on Lumo for their most sensitive conversations with complete confidence in both AI capabilities and privacy protection.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton today supports over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. Proton has become profitable and reached scale without relying upon VC funding, largely due to superior talent that allows us to do things faster, more creatively, and more efficiently.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our social media pages to learn more about us: Twitter, Reddit, Instagram.

Role Overview

We’re looking for an experienced Growth Manager to help drive the expansion of our B2B VPN business. While Proton VPN is already one of the world’s leading VPN services, our B2B offering is still in an early growth phase. You’ll play a key role in shaping its trajectory—defining product positioning, pricing strategy, acquisition channels, and sales loops.

This is a hands-on, strategic role that calls for both analytical thinking and a strong sense of curiosity about technology. It’s also a high-visibility, cross-functional position—you’ll collaborate closely with teams across Product, Marketing, Sales, Customer Success, and Data on a global scale.

What You’ll Do

• Growth strategy: own the end-to-end B2B growth strategy for Proton VPN. Identify high-impact growth levers across channels, define KPIs, and execute scalable, data-driven campaigns that drive qualified leads and self-serve subscriptions for Proton’s VPN for Business product.
• Inbound: design full-funnel marketing programs, including paid acquisition, SEO and CRO, in collaboration with our central Marketing team.
• Outbound: build outbound campaigns from the ground up.
• Content & thought leadership: develop a content strategy that positions Proton as a trusted authority in online security and privacy for businesses, in partnership with Marketing, Product and Sales.
• Analytics & reporting: define and track key marketing performance indicators. In collaboration with our Data team, build our analytics stack.

What You'll Bring

• 2–10 years of experience in a fast-growing B2B environment, whether in a marketing / growth role or in a strategic role. Experience with self-serve and / or sales-led acquisition.
• You need to be hands on. Proton’s culture is not corporate, and we expect our leaders to lead from the front.
• Analytical and data driven. This is important at Proton, and we welcome candidates with scientific or engineering backgrounds who now work in marketing or growth.
• Cost-efficient mindset. Proton is a bootstrapped startup. We’re creative and efficient, because that’s how we will win in the long run.
• Not necessary, but valued: proven track record of driving revenue through outbound sales.
• Not necessary, but valued: experience building teams and processes from scratch, since Proton is just starting in B2B.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Check our social media to learn more about Proton: 

LinkedIn ,Reddit ,X, YouTube

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LinkedIn-Onsite

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive and Proton Pass. These tools empower individuals and organisations to take control of their personal data, break away from Big Tech’s invasive practices and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, coming from the world's top companies and universities. We value intelligence, learning potential and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You'll have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Role overview

As a fullstack cross-platform Senior Android Engineer, you'll play a pivotal role in developing Proton Pass using Jetpack Compose and Rust. You’ll lead with an end-to-end ownership approach, ensuring timely delivery of high-quality, scalable solutions that will delight our customers. Your ambition and enthusiasm will drive innovation and excellence both in Proton Pass and SimpleLogin products.

Key responsibilities

• Develop and maintain cross-platform mobile applications for Android using a blend of cross-platform (Rust) and native technologies (Kotlin)
• Take end-to-end ownership of mobile application development projects: you'll be comfortable with scoping projects, walking back from deadlines and being able to discern the important from the superfluous
• Foster a culture of innovation by exploring new technologies, methodologies and approaches to mobile development – we tackle complex engineering challenges with creativity and ingenuity
• Optimise mobile applications for performance, usability and responsiveness across different devices and screen sizes
• Master memory management, multithreading and concurrency mechanisms to enhance performance and responsiveness of mobile applications
• Design for scalability, considering factors such as data caching, network bandwidth and server load
• Prioritise customer satisfaction by maintaining a customer-centric mindset throughout the development process, continuously seeking feedback and iterating to improve the user experience

The ideal candidate will bring

• Bachelor's degree in Computer Science, Engineering or related field (or equivalent work experience)
• Excellent problem-solving skills and the ability to think outside the box to overcome challenges
• Passion for continuous learning and driving change in the rapidly evolving field of mobile development
• Excellent communication and interpersonal skills
• Proven experience developing mobile applications for Android using Kotlin
• Proficiency with Jetpack Compose for Android, and familiarity with Rust
• Strong understanding of mobile app architecture, design patterns and best practices
• Knowledge of memory management techniques and best practices
• Experience with multithreading and concurrency in mobile applications
• Good understanding of scalability considerations when it comes to engineering mobile applications
• Previous experience working in a fast-paced, scale-up environment

Even if you don’t meet all the requirements listed above but feel you could still be a great fit, please do apply.

What we offer

• Technology: we provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals
• Learning & Development: we are committed to your professional growth – Proton offers various learning opportunities, including training programs, conferences/events and continual learning
• Employee Benefits: comprehensive health insurance plans, competitive retirement savings options, generous vacation/leave policies and wellness programs
• Stock Options: at Proton, we are all owners of the company and you get stock options when you join us
• In-Person Collaboration: collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje and Taipei – you can enjoy working from home for up to 30% of the time, while enjoying great company culture during our three core days in the office (depending on the role, fully remote positions may also be available)
• Food: lunch and snacks are provided by Proton every day at our offices
• Transport: we'll always support our employees with transport costs through subsidising public transport, bike allowances or parking spaces based on your office location
• Flexible Working: you can define your own working hours as long as it works with team meetings
• Work that Matters: Proton is a community-first organisation, started with the support of a crowdfunding campaign and built with community input – to this day, Proton’s only source of revenue is user subscriptions: over 100 million people trust and support Proton, and we put our users and community first in everything we do (read more about our impact here)

Our commitment to diversity and inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability or socio-economic background feel valued and empowered. We strive to create equal opportunities, promote open dialogue and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate privacy notice

When you apply for a position, refer a candidate or are considered for a role at Proton Technologies AG (Proton, we, us or our), your information is stored in Greenhouse, in accordance with its Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymise it. Should you have any inquiries about how we use or manage your information or if you wish to access, correct or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited CVs from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The Account Team

The Account team owns the capabilities across the full user lifecycle - from acquisition and account creation, through protection, recovery, and user management, to retention and end-of-life. Account is one of the key functions that are positioned centrally and contribute to all of Proton's products.

Tech Stack and Tools:

• Our web client is based on React/Typescript, our mobile code is based on Kotlin (on Android) and on Swift (on iOS), with a growing shared codebase in Rust.
• All our client-code is open-source and GPL3.
• We are migrating our infrastructure to Kubernetes.
• Everything runs on premise in Proton's data-centers.
• To organize our work we use classic tools such as Jira and Confluence.

Future plans:

With the increasing number of Proton product releases, we have ambitions to accelerate this process by unifying the Account experience across all devices, clients, and audiences.
The accounts team is growing fast, which creates future opportunities to lead and take ownership of significant areas of the system.

What you will do:

We believe in small empowered teams that focus on delivering large impact. This requires strong engineers with product engineering mindset who can collaborate well, take ownership, and do whatever is needed to achieve our ambitious goals.
You will be the primary web engineer responsible for shaping and delivering the Account experience for our B2B customers.

What we are looking for:

• Strong experience building modern web applications with React
• Proficiency in TypeScript or another strongly typed language
• Experience leading the delivery of large, complex frontend projects
• A strong product mindset with a focus on delivering high quality, user centred experiences
• Experience collaborating effectively within a distributed cross functional team

Bonus points for:

• Familiarity with identity and access management concepts
• Experience building and scaling B2B products
• Awareness of common client-side security risks (e.g. OWASP Top Ten) and practical mitigation strategies
• Experience with Grafana or other observability and monitoring platforms
• High-level understanding of cryptography fundamentals, such as key exchange and symmetric vs. asymmetric encryption

What We Offer:

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

As a key member of the Technical Services function, you will play an important role in advancing Navan’s operational capabilities by delivering outstanding IT support across our Paris site and global teams. 
You will be the "boots on the ground" ensuring our local team remains productive while also contributing to our global support mission.

You will help uphold Navan’s high service standards while contributing to the reliable, secure, and scalable technology foundation that enables the business to grow.
Our Paris office is a key hub for our growth, currently housing 80 employees with plans to expand to 120+ by the end of the year.

What You’ll Do

• On-Site Presence: Provide dedicated, on-site support at our Paris office Monday - Friday, 8:00 AM – 6:00 PM CET.

• Global Support: Monitor and resolve tickets via Slack and our global ticketing queue, supporting Navan employees across various time zones.

• Meeting Excellence: Take full ownership of Zoom Room functionality; manage technical setup and presentation support for "All Hands" meetings and stakeholder events.

• Lifecycle Management: Lead the local onboarding and off boarding logistics, including device preparation, account provisioning, and IT inductions.

• Infrastructure & Assets: Maintain local workstation setups, printer fleets, and conference room technology while managing local hardware inventory and repairs.

• Technical Administration: Administer and troubleshoot our core stack, including Okta, Google Workspace, Zoom, Slack, and Gem.

• On-Call Rotation: Participate in a team on-call rotation (typically 1 week per month).

What We’re Looking For

• Language: Fluency in both French and English is mandatory.

• Experience: 3–5 years of IT Support experience with a Bachelor’s degree in Computer Science (or 5–10 years of experience in lieu of a degree).

• Technical Proficiency: Strong administrative knowledge of Okta, Google Workspace, and Zoom.

• Hardware/MDM: Experience managing Windows (PC) and macOS/iOS devices using JAMF and/or Intune.

• Communication: A "white-glove" service mindset with the ability to support everyone from new starters to C-level executives with empathy and professionalism.

• Adaptability: Proven success in a fast-paced, high-growth corporate IT environment.

• Physicality: Ability to lift 10–50 lbs for hardware-related tasks.
  
  
  

   

OTE: €60,000 – €78,000 (65/35 base/variable split)

The position

Are you ready to be at the forefront of a hyper-growth company, driving revenue, and shaping the future of the logistics industry? Hive is the leading and fastest-growing operations platform for independent commerce - fueled by state-of-the-art technology. 

We are looking for a passionate individual to join our team and create a significant impact in Hive's French market. If you thrive in a fast-paced environment and are eager to work with great leaders and innovative brands across Europe, then apply now! 

• Impact-Driven Role: As a Account Executive, you will be responsible for turning warm mid-to-large leads into long-lasting Hive customers. You will be building relationships with potential customers, understanding their challenges, designing solutions that solve their challenges, and winning them over to Hive.
• Ambitious environment: Joining the Growth team in France at Hive means diving into an environment where learning and execution are at the core of success. You will have the chance to develop and refine your skills in a hyper-growth company. You will be exposed to a dynamic ecosystem that values problem-solvers, curious learners, and forward-thinking individuals, giving you the tools to thrive in a hyper-growth setting.
• Global Collaboration: Our team is a diverse and global collective of sales professionals passionate about shaping the future of commerce operations in Europe. You will collaborate with your peers in Berlin, Italy, Spain, the UK, and the Netherlands as well as have the opportunity to work with Europe’s most exciting brands. 

If you’re ready to take on a challenging and rewarding role that combines strategic thinking, relationship management, and a passion for growth, we want to hear from you! Join us and be a part of something extraordinary.

Your Profile

We know - sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!

• Extraordinary drive: You inherit a hunter mentality, and always give 120% at everything you do. If you have a target, you crush it, and strive in environments where the people around you do the same. 
• Experience: You have 1-4 years of experience in B2B Sales, hitting and exceeding your targets consistently. 
• Problem-solving skills & attention to detail: You anticipate challenges, address them effectively, and stay ahead on details to keep projects on track and achieve customer excellence. You need to be passionate about leveling up our customers. 
• Reliable team player: Your goal-oriented mindset motivates you - there’s nothing wrong with being competitive! 
• Willingness to learn: At Hive, we pride ourselves on continually growing beyond ourselves. We never accept the status quo and continually work on becoming a better version of ourselves. 
• Language requirement: Fluent French and English is required.

Our offering

• Build something that matters: Hive is redefining how commerce operations work in a €200B+ market. We already reach tens of millions of consumers every year and empower over 500 independent brands to grow and thrive - and we’re just getting started.
• Work with exceptional people: Join a high-performing, ambitious team, including many from world-class companies such as McKinsey, Amazon, Shopify, Google, TikTok, and Trade Republic.
• Grow with Hive: From day one, you’ll take ownership of ambitious projects and grow alongside Hive as we scale. We believe in meritocracy - your impact drives your progression, not your past titles.
• Competitive compensation: We offer market-competitive salaries and an equity incentive plan (EIP) for all full-time team members.
• Tools to thrive: Choose the setup that helps you do your best work - a MacBook (or laptop of your choice), plus accessories like an extra monitor or headphones to match your working style.
• Well-being matters: Enjoy 30 vacation days per year, plus a paid 20-day sabbatical every three years to recharge and reflect.
• Flexibility and connection: Benefit from flexible working hours, free drinks and snacks at our offices, and regular team events - including company-wide offsites that bring all of Hive together.

We are looking for a Billing Manager, with a strong financial accounting foundation, to join the Finance team in Paris, 

If you have experience in financial audit and wants to move into in-house accounting, or you have proven billing/revenue accounting/OTC experience in high-growth companies with solid accounting exposure, then this could be the next step for you!  

The team you’ll be joining

As a Billing Manager, you will join the Group Accounting team within the Finance department and will report to the Working Capital Senior Manager.

You'll be part of a strategic team that collaborates with all departments across the organization, from Sales, Finance and IT to Product. This role offers the opportunity to work on diverse and challenging projects in a fast-paced, international environment where innovation is constant.

This role goes beyond credit management or collections and requires expertise in revenue accounting, financial closing, and internal controls.

What you’ll do

We are looking for a Billing Manager to support our growth and lead our global customer billing team. You will be responsible for our high-volume billing activities across all group countries (France, Germany, Italy, the Netherlands). 

Your responsibilities include but are not limited to:

• Manage and lead a dynamic team of 3-5 professionals managing billing activities across all group countries, fostering their growth while ensuring operational excellence
• Supervise monthly and annual financial closing activities (up to 2 million invoices per year), including performance and quality of SOX internal periodic controls
• Ensure seamless billing operations by controlling the completeness and accuracy of monthly customer billing cycles through strategic collaboration with Sales and Finance teams 
• Drive continuous automation and process optimization by leveraging technology to handle high-volume billing operations efficiently, eliminating manual processes wherever possible
• Manage the Order-to-Cash process in partnership with the Working Capital Senior Manager, including proactive monitoring of direct debits, active participation in the recovery of doubtful debts and administration of cash application
• Champion technology-driven improvements by identifying and implementing system enhancements across our tech stack (Salesforce, Zuora, SAP) to support large scale operations

Who you are

Before you read on — if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You could be our next team mate if you:

• Are fluent in English and French and able to work in a constantly evolving international environment
• Have proven expertise in high-volume billing operations and financial accounting (revenue recognition, financial closing, internal control notions), ideally gained through audit experience or senior accounting roles in high-growth companies. (Note: We are looking for expertise beyond credit management or collections alone)
• Have the ability to manage and engage a team of specialists, with a hands-on approach and a focus on developing talent
• Demonstrate excellent communication skills and ability to collaborate with business and support teams at all seniority levels on cross-functional projects 
• Have strong IT appetite and automation mindset, capable of identifying and eliminating manual processes to maintain efficiency at scale

Now, it would be fantastic if you: 

• Have an analytical mindset to identify trends, solve problems and support decision-making
• Have direct team management experience
• Are familiar with tools such as Zuora, SAP, Salesforce, or similar systems

What we offer

• Free health insurance for you and your children
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• Free mental health and coaching services through our partner Moka.care
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Work Council subsidy to refund part of sport club membership or creative class
• Up to 14 days of RTT
• Lunch voucher with Swile card
• Reimbursement of public transportation or company car (only for Field Sales)
• Relocation support for international mobilities 
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth

The interview process 

• 30’ phone interview with the Talent Partner (recruiter)
• 60’ video interview with the Hiring Manager & Accounting Director
• 60’ Onsite Business case with the Hiring Manager & Accounting Director
• 30' final video interview with VP Finance
• At least one reference check

Job details

• Permanent position 
• Full Time 
• Workplace: Levallois-Perret (92, Headquarter)
• Hybrid mode: 3 days per week onsite / 2 days remote
• Start date: as soon as possible
• Remuneration : fix + bonus on objectives (according to your profile)

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. 

Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com to exercise your rights.

Regional Sales Manager, France

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.

WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world’s leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!

About The Role

WEKA is seeking a high-caliber, mission-driven Regional Sales Manager to lead our expansion within the Southern Europe territory. Specifically targeted on the France this role will be cross vertical focused on acquiring net new logos that require High-Performance Computing (HPC) or Accelerated Compute for AI, you will position WEKA as the bedrock of the modern intelligent data stack.

This role is based remotely in France.

Responsibilities Include:

• Demonstrate a deep understanding of WEKA and the value to our customers
• Develop and execute against a strategic plan to create sales pipeline while acquiring new logos/programs and maintaining positive ongoing relationships with current customers
• Accelerate customer adoption through education and engagement
• Work with strategic VAR and OEM partners to cultivate and manage joint selling opportunities
• Collaborate on and improve all aspects of the sales cycle, including product, support, and sales engineering
• Interface at many levels of WEKA senior management

Qualifications:

• 10+ years of IT Sales experience
• Proven track record of selling $5M+ infrastructure or data solutions into the intelligence community
• Consistent track record of meeting or exceeding quota
• Passion and desire to work in a startup culture directly impacting the growth of the company
• Proven track record of effective selling within the geo
• Superb written and verbal communication skills
• Bachelor's Degree preferred.

How We Work: The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. 
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and we communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and the results we achieve. Together, we’re unstoppable. 
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.
  
  

Concerned you don’t meet every qualification? Don’t let it stop you from applying!
Studies have shown that traditionally underrepresented groups may be less likely to apply for jobs if they don’t meet every qualification specified. WEKA is committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but are concerned your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

As a Partner Sales Engineer at Ping Identity, you will bring a passion for identity and a customer-first mindset. You will work with a highly effective partner team on engaging and interactive customer-oriented meetings, demonstrations, and proofs of concept that articulate the business and technical value customers will receive from a Ping Identity solution. You will be an active member of a team that empowers personal, team, and partner success. This role will be a key contributor to our overall sales and business development strategy as we look to continue maturing our partner network to ensure sustained growth across Europe and build out our partner capability in a number of other developing markets.

As a Partner Sales Engineer, you will have the opportunity to not only enable partners but also work alongside them and support them as they go to market with Ping Identity solutions. In this capacity, you will build and exercise deep technical and consultative skills while leveraging soft skills to maintain engagements and keep them moving forward. Collaboration is at the heart of this role; you will need to exercise consultative skills to rapidly understand an identity problem, prototype a full-stack solution, and implement this as a reusable asset that can be leveraged to accelerate partner-led engagements.

Expertise with Identity and Access Management (IAM) technologies coupled with insight into System Integrators’ unique needs, all matched with Ping Identity’s visionary capabilities, will enable the presentation of uniquely innovative and effective solutions that will enhance customer success with Ping Identity.

Responsibilities:

• Foster close relationships with delivery partners to support the technical sales relationship and build a mutually beneficial plan of success for delivering Ping Identity solutions.
• Support partner teams to understand and deliver enablement to drive business goals.
• Share knowledge and collaborate closely with the Field SE team, and occasionally contribute to broader opportunities and initiatives.
• Become familiar with elements that include marketing events, solution and sales training, joint solution development, and joint account sales activities that will drive the alliance relationship.
• Support partner technical learning events across supported sales regions, which might include delivering solution presentations, whiteboarding, and demonstrations.
• Work with the partner team to identify gaps in partner enablement, then create and execute plans to close those gaps.
• Provide pre-sales technical guidance to partners, i.e., product demonstrations, proof of concept for proposed solutions, and/or technical workshops.
• Work with partner teams to enable them to achieve customer wins. Emphasis during key sales cycle phases of: Qualification, Discovery, and Technical Proof Phase.
• Able to travel up to 30% of the time.

Skills & Qualifications:

• 3+ years in customer-facing professional services or pre-sales positions.
• Strong base of system integrator industry knowledge.
• Ability to develop and nurture relationships with System Integrators and Ping Identity Partner teams to better understand demonstration needs and solution requirements.
• Ability to rapidly innovate through the development of mobile and web applications, APIs, and platform configuration to build demonstration assets that resonate with both business and technical audiences. The focus is to enable system integrator teams to sell Ping Identity successfully.
• Strong written and verbal communication skills to empower System Integrator and Channel partner communities.
• Ability to work with a high level of self-direction and/or collaboratively with other teams within Ping Identity.
• Ability to relate proposed solution technical capabilities back to customer needs in a narrative style.
• Competency with scripting languages (JavaScript, Groovy, etc.), RESTful Web Services, and web development frameworks such as Node.JS and Vue.js.
• Some experience but, most importantly, a willingness to learn mobile and hybrid frameworks to deliver demonstrations on a variety of platforms.
• Developing and delivering technical presentations, workshops, customized demonstrations, and proof of concepts.
• Experience working with IAM solutions in or with enterprise organizations.
• Experience with the installation and configuration of one or more IAM technologies from: Ping Identity, Forgerock, CA, Oracle, IBM, Novell/NetIQ/Microfocus, or similar.
• Working knowledge of IAM-related protocols and formats such as: OAuth2, OIDC, SAML, SCIM, LDAP, JSON, XML, SQL, etc.
• General networking concepts and technologies such as: TCP/IP, HTTP/S, routing, load balancers, proxies, etc.
• Cloud Platforms - AWS, GCP, or Azure.
• Proficiency in speaking and writing French is a must have in addition to English as means of communication.
• Proficiency in Spanish will be nice to have.

Ideal Candidate Skills (one or more):

• First hand familiarity with capabilities of one or more IAM technologies from Ping Identity, Forgerock, Okta, Auth0, SailPoint, CA, Oracle, or similar.
• Understanding of one or more standards and protocols relating to IAM: OAuth2, OIDC, UMA, SAML, SCIM, LDAP, JSON.
• Expertise with one or more typical cloud services providers such as AWS, GCP, Azure.
• Consultancy experience working with external stakeholders such as business partners, customers.
• Experience working closely with a sales organization.
• Understanding of IAM concepts such as Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow.

At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.

Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.

As the buy now pay later leader in France and active in 10 European countries, we’ve empowered over 21,000 merchants and 8 million consumers.

With 360+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe—and we’re just getting started.

Alma is the company for you if are looking for:

Collective intelligence is the driving force behind Alma: we are looking for open-minded, curious, and ambitious people who want to actively participate in this exponential growth.

To continue to deliver an optimal purchasing experience and absolute ease of use, all teams at Alma (Tech, Product, Sales, Operations, Data, Risk, Finance, Compliance, Legal, Marketing and People) will strengthen their members to maintain the highest standards of quality and trust while pushing these innovations at Alma’s pace.

About the context

We’re running and continuously improving a scalable growth engine across France and Europe. To support this effort, we’re hiring a GTM Engineer/Growth Outbound Manager to own a key part of our lead generation engine: producing outbound leads at scale and managing the automation and routing of inbound leads.

This is a highly operational role at the intersection of Growth Marketing, Revenue Operations (RevOps), and Sales. You’ll ensure inbound requests are processed quickly and accurately, and that outbound prospecting starts with high-quality, enriched, and well-routed accounts.

Your ultimate goal: feed the Sales teams with around 2,000 leads per year that they can convert into deals.

About the mission

You’ll join the Revenue Marketing team and work closely with RevOps and Sales. Your day-to-day work is a mix of lead sourcing, enrichment provider management, automation ownership, and continuous improvement.

Inbound leads: maintain and run our stack

You make sure inbound demand is handled quickly and correctly so Sales can focus on the right opportunities.

• You monitor incoming demo requests across Europe and ensure nothing falls through the cracks.
• You run the pre-qualification flow with our pre-qualification partner (follow-up, quality checks, completeness).
• You ensure our dispatcher works properly and routes leads to the right Sales team after pre-qualification.

Outbound: build weekly lead production for Alma Sales

You build and operate a reliable outbound “supply chain,” from sourcing to CRM-ready accounts, delivering quality leads to Sales every week.

• You source new target companies (based on ICP guidelines, verticals, and geographies).
• You maintain and improve our company and contact enrichment processes.
• You assign accounts in Salesforce in line with ownership rules.
• You deliver a weekly batch of high-quality outbound leads to the relevant Sales teams, ready to be prospected.
• You collect and integrate Sales feedback to continuously improve sourcing and enrichment.

Campaigns & lifecycle: support scaling through sequences

Beyond pure operations, you contribute to improving how we message and nurture leads.

• You help shape cold email campaigns, bringing your knowledge of verticals and HubSpot usage.
• You contribute to email nurturing for identified website visitors through workflows, triggers, and segmentation in HubSpot.
• You support the activation and adoption of the Alma solution for inbound leads via HubSpot workflows, triggers, and segmentation.

About you

You might be a good fit if you:

• (Mandatory) Have at least 3 full years of experience in Demand Gen, RevOps, or Sales Ops in a B2B environment.
• (Mandatory) Have a strong command of CRMs and workflows, ideally HubSpot (strong plus) and Salesforce (plus).
• (Mandatory) Have hands-on experience with automation tools such as Zapier or n8n.
• (Mandatory) Are fluent in French (C2 level or equivalent).
• Are familiar with enrichment and sourcing tools, have solid spreadsheet skills (filters, pivots), and are curious about automation to speed up repetitive tasks.
• Enjoy operational work and like turning messy inputs into clean, usable data and repeatable processes.
• Have strong written communication skills (for sequences, coordination, and quality checks with partners).

About the position

• This is a permanent role based in Paris, with two days of remote work per week.
• You’ll be part of the Revenue ops team and report to the Head of Revenue ops.
• Your main internal partners will be Sales Leads, Sales teams, the RevOps lead and contributors, and Marketing contributors.
• You’ll work closely with a Lead Growth, who owns the Lead Gen roadmap and improvement projects.

About the recruitment process

• Call with Talent Acquisition: 30–45 minutes
• Call hiring manager, Basil Lizotte (Head of Revenue ops): 45 minutes
• Presentation of a prepared-at-home use case with four future collaborators (Sales, RevOps, Marketing) + debrief: 60 minutes
• Team fit : 60 minutes
• Final conversation with Antoine (CRO): 30 minutes
• Two reference calls

OUR VALUES

• Raise the bar
• Do the right thing
• Test, Learn, Repeat
• Make it happen
• Lead with humility

DIVERSITY & INCLUSION

At Alma, we're committed to fostering an environment where diversity and inclusion are at the heart of our values. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome.

As an equal opportunities employer we make sure the application process and our workplace is for everyone

Join our Movement and Champion Restaurant Culture! 💚

At TheFork we believe that the best things in life happen around the table.
As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.

We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive.
If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

👉 Discover life at TheFork

What you will do:

• Design, build, and evolve test automation frameworks and internal tooling (Playwright + TypeScript as primary stack)
• Act as owner of the test ecosystem, including repositories, architecture, and long-term maintainability
• Define and enforce testing standards, guidelines, and best practices across engineering teams
• Enable developers to write effective tests by providing abstractions, utilities, and reusable components
• Drive test architecture decisions (structure, layering, fixtures, data handling, isolation strategies)
• Collaborate with teams to improve testability of systems (APIs, frontend, data flows) without directly owning feature tests
• Own and optimize CI/CD test pipelines (e.g., Jenkins), focusing on speed, reliability, and scalability
• Identify systemic issues (flakiness, instability, slow feedback loops) and implement structural solutions, not patches
• Design and maintain test data management and environment orchestration strategies
• Define, implement, and evolve quality gates and metrics (coverage, reliability, execution time, signal quality)
• Support teams in debugging complex failures by providing observability and diagnostic tooling
• Explore and integrate AI-driven testing capabilities to improve productivity and test robustness
• Mentor engineers and promote a quality engineering mindset across the organization

Who you are:

You Must Meet These Critical Qualifications (Mandatory requirements to be listed here)

• 2 to 5 years of experience
• Strong experience as an SDET / Quality Engineer with a focus on frameworks and tooling, not just test implementation
• Excellent programming skills in TypeScript / JavaScript
• Proven experience designing and maintaining test frameworks at scale
• Hands-on experience with modern automation tools (Playwright preferred)
• Strong understanding of test architecture patterns (test pyramid, separation of concerns, isolation strategies)
• Experience enabling teams through libraries, SDKs, or shared tooling
• Solid experience with CI/CD systems (e.g., Jenkins), including pipeline optimization and debugging
• Experience with API testing (REST/GraphQL) and designing reusable testing layers
• Strong problem-solving skills focused on root cause analysis and systemic improvements
• Comfortable working cross-team and acting as a technical reference for quality
• Fluent in English (written and spoken)

You Can Impress With These Additions (“Nice to have” to be listed here)

• Experience building internal developer platforms or test platforms
• Deep expertise in Playwright ecosystem (custom reporters, fixtures, plugins, parallelization strategies)
• Experience with GraphQL testing tooling and schema-driven validation
• Familiarity with quality gate systems (e.g., SonarQube / SonarCloud) and defining engineering-wide standards
• Experience with test data platforms (dynamic data generation, seeding, environment control)
• Exposure to AI-assisted testing / LLM-based tooling
• Backend development experience (Node.js preferred)
• Experience with containerization (Docker) and ephemeral environments
• Strong understanding of observability (logs, metrics, tracing) applied to test systems
• Experience in organizations where testing is decentralized but governed centrally

What we offer you: 

😄 An awesome team 

🏠 A permanent contract (that can be useful in life) 

⚖️Flexible working environment (2 days home office per week +  up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)

💸 Competitive fixed salary and bonus 

🍕 Lunch vouchers available for each working day (because yes, we like to try our best restaurants)  

🌎 International teams and a multicultural environment spanning 10 offices across Europe

🤝 Highly inclusive working environment 

🤸‍♀️ Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc 

🎓 Continuous learning and development programs

😌 Free access to the Calm app to help you build resilience wherever you are in your mental health journey

🐣Dedicated parental leave and caregiver leave policies (12 weeks fully paid)

🏥Health insurance covered by the company 

👶 Financial support for birth, adoption, civil partnerships, or marriage

🚝 Transport allowance

🏥Health insurance fully covered by the company 

👩‍🦽 Life & Disability Insurance at no cost to the employee

🍴 Amazing offices with dining, coffee points and leisure area    

🎤 Team building events

All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately.

We believe that we are better together, and we welcome you for who you are. We endeavor to ensure  that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under  applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.

TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application,  interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to AccessibleRecruitment@TheFork.com. Our HR team will review the request and respond accordingly.

#LI-FF1

How you'll make an impact

You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.

Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.

If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!

What you’ll be doing

• Embed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.
• Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.
• Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.
• Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.
• Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)
• Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.
• At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.
• Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.
• Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

• Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.
• Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.
• Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.
• Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

• 5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
• 3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)
• Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.
• Ability to engage with business leaders and influence decisions
• Proven ability to influence cross-functional teams without formal authority

How you’ll make an impact

At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.

You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.

Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.

What you’ll work on

• Operate, maintain, and troubleshoot UNIX/Linux systems running in cloud environments
• Support and maintain existing configuration management and Infrastructure as Code setups
• Assist with the operation of cloud-based infrastructure, including virtual machines, networking components, and managed services
• Help monitor system health and performance, investigate alerts, and participate in incident response and root cause analysis
• Perform routine infrastructure updates and maintenance to ensure systems remain secure, reliable, and up to date
• Support Kubernetes clusters and containerized workloads, primarily from an operational and troubleshooting perspective
• Collaborate with senior engineers to improve automation, monitoring, and operational practices
• Document procedures, operational runbooks, and troubleshooting steps to improve team efficiency

What you need to be successful

• Experience working with UNIX/Linux systems, including hands-on troubleshooting and shell scripting
• Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data-center environments
• Basic experience operating infrastructure in a cloud environment (preferably AWS), including compute, networking, and monitoring services
• Basic scripting or development experience (e.g., Python)
• Clear communication skills and a collaborative, respectful approach to working with teammates
• Willingness to learn, ask questions, and grow technical depth over time

Nice to have

• Exposure to Infrastructure as Code tools such as Terraform
• Familiarity with at least one configuration management or automation tool (e.g., Ansible, Chef, Puppet, SaltStack)
• Familiarity with Kubernetes or container-based environments
• Experience with monitoring tools such as Grafana or similar platforms
• Ability to investigate incidents, follow runbooks, and escalate appropriately when needed
• Interest in automation and reliability, even if you have not yet designed large-scale systems yourself #LI-Hybrid #LI-FR1

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Integrating with all clouds, data platforms, AI services, and legacy systems, Dataiku is aggressively agnostic, providing its customers with full technology optionality.

Why Engineering at Dataiku?

Dataiku’s platform (on-prem, cloud, or SaaS) brings together the best of data and AI technologies. Our tech stack reflects our commitment to quality and innovation from the latest LLMs to strong involvement in open-source communities.

As People Business Partner for the Technology organization, you act as a strategic advisor to Engineering and Product leadership. Your mission is to strengthen organizational capability and ensure long-term retention of critical skills.

You will focus on workforce planning, structured career development, succession planning, and leadership enablement to support business growth and product delivery objectives.

What you’ll do:

Workforce planning & Organizational Efficiency

• Partner with the Talent Acquisition team  to anticipate hiring and capability needs

• Identify critical roles and succession gaps

• Support organizational design and role clarity initiatives

• Ensure compensation fairness in collaboration with the Total Rewards team

Career Development & Talent Growth

• Design and implement structured career paths for Engineering & Product teams

• Develop internal mobility pathways for employees transitioning into Tech roles

• Coach managers on performance management, feedback quality, and development planning

• Provide coaching to employees on career progression and development plans

Retention & Engagement

• Use attrition and engagement data to recommend corrective actions

• Develop proactive retention plans for key contributors and high potentials

• Partner with managers and Employee experience teams to design initiatives strengthening team cohesion

• Define recurring engagement initiatives aligned with Tech team dynamics

Leadership Partnership & Operational Support

• Act as a trusted advisor to Engineering and Product leaders

• Support managers in navigating team dynamics and performance challenges

• Serve as liaison between employees and HR Operations for administrative matters

• Work on cross-functional People projects
   

Profile

• Experience in People Business Partnering within fast-paced or technology-driven environments

• Trusted advisor with the ability to influence, challenge, and guide stakeholders constructively

• Data-driven thinker, committed to turning HR data into strategic insights

• Structured, proactive, and comfortable operating in matrix organizations

Why join this role ?

This is an opportunity to directly shape the future of Dataiku’s Technology organization by designing scalable talent systems, strengthening leadership capability, and enabling teams to deliver meaningful product innovation at scale all within a fast-growing, international, collaborative, and inclusive environment.

#LI-JR1

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

Business Development Representative — Italy 

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

We are looking for a Business Development Representative to join our growing team focused on the Italian market. As a Business Development Representative, you are responsible for driving Dataiku's business development activities across Italy. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We are looking for a results-driven, hands-on self-starter, motivated to constantly improve and optimize the process to drive performance.

Location: This role is focused on the Italian market. You can be based in our Milan office, or within our Mediterranean hubs in Madrid or Paris.

How You'll Make An Impact

• Lead Management: Manage a large volume of daily inbound and outbound leads within the Italian territory—connecting via phone, email, and LinkedIn to qualify them.
• Strategic Campaigns: Engage with our Sales and Marketing executives to design, research, and execute outbound vertical and geographical campaigns to grow the sales pipeline in Italy.
• Enterprise Collaboration: Work closely with our Account Executives to prospect and help close large enterprise deals within the Italian "Fortune 500" equivalent.
• Nurture: Educate and nurture early-phase prospects for potential future opportunities.
• Domain Expertise: Demonstrate knowledge of Dataiku and its value proposition to converse with data and business leaders in Italy across industries such as Manufacturing, Banking, Fashion/Retail, and Energy.
• Optimization: Analyze and report on your weekly activities to identify potential optimizations for the Southern EMEA market.

What You'll Need To Be Successful

• Language Mastery: Native-level fluency in Italian (verbal and written) is essential.
• The Multilingual Edge: Proficiency in French and/or Spanish is highly preferred and will be a major asset for collaborating across our South EMEA offices.
• Communication: Strong interpersonal skills and excellent verbal and written communication.
• Experience: Relevant experience and proven success in sales or business development within the software/tech industry or a high-growth startup.
• Organization: Able to demonstrate strong organizational and project management skills.
• Data-Driven: Highly analytical and understand the importance of tracking and reporting on your outreach.
• Curiosity: Deeply interested in innovative topics like Data Science, Predictive Analytics, and Generative AI.

#LI-CM

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.

As a Fullstack Engineer, you will join our core Engineering team to build complete designs for applications and features that deliver direct value to our customers. You will solve complex technical challenges by working within your squad and collaborating across the organization with Data Scientists, QA, and Product Managers. Your focus will be on delivering high-performance, scalable, and quality solutions that modernize our platform. This role is essential for driving the technical migrations and architectural improvements that power Shift’s mission.

What Your Impact Looks Like

At Shift, we value ownership from day one. In this role, you will:

• Jump In & Own It: 
• Take full ownership of technical tasks and resolve delivery blockers promptly without waiting for direction.
• Design and implement intuitive user interfaces to collect and review information.
• Build and maintain robust APIs that automate decision-making processes.
• Simplify the Complex: Design, write and test (from unit to end-to-end) clear, clean, well-structured C# and React code that is easy for others to maintain. 
• Test, Learn, Scale: 
• Contribute to technical migrations, modernization efforts, and architectural improvements as our platforms evolve.
• Experiment with new frameworks and use retrospectives to identify opportunities to improve delivery speed and quality.
• Communicate with Impact: Share progress and technical trade-offs clearly during stand-ups, adapting the detail for both peers and stakeholders.
• Solve Without Drama: Address production incidents and bugs calmly and methodically, focusing on root causes and long-term solutions.
• Finish what you start: Demonstrate reliability by validating that all code meets user needs and is fully documented before moving to new work.

We work with modern technologies and always encourage our team to explore what’s new in the market. Our main tools are:

• Frontend: React/Redux/TS/Vanilla Extract/LESS/Dev Container with Vite
• Backend: ASP.NET, C#, MSSQL, Elasticsearch
• IDE: your choice - Rider, VS Code, or Visual Studio + Resharper
• Cloud: Microsoft Azure
• Foundational toolchain: GitHub Enterprise, GHAS, GH Copilot + coding agent
• CI/CD: GitHub Actions / TeamCity, Cypress, GH Packages (npm, NuGet), Octopus
• Collaboration: Slack, Jira, Confluence

What You'll Need to Succeed

We are looking for a Shifter who is:

• C# Expert: You have 2 to 6 years of experience in software development with a deep, production-level mastery of C# and .NET.
• Fullstack-Capable: You are comfortable across the stack and have hands-on experience with React or modern JavaScript frameworks.
• Architecturally Minded: You don’t just write code; you design scalable, maintainable systems and write clean, testable logic.
• Growth-Oriented: You have a test-and-learn mindset, actively exploring new tools and frameworks to improve performance and quality.
• Impact-Driven: You focus on outcomes over output, taking full ownership of your tasks from initial design to production monitoring.
• Collaborative & Clear: You are a fluent English speaker who can explain technical trade-offs simply and partner effectively with cross-functional squads.

• 30-minute video interview with our Talent Acquisition Specialist
• 2x 1-hour technical interviews, one with a Backend dev and one with a Frontend dev
• 1-hour final interview with the Hiring Manager

#LI-RH1 #LI-HYBRID 

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a Freelance position based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• 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 1 hour technical discussion with a member of the Data Science team and Engineering 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.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

Please note that these positions are based in London, Berlin or Paris — relocation support is provided if required.

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over €150B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions. ing talents and state of the art technology to build a lasting, positive future for millions.

ABOUT PLATFORM ENGINEERING

Platform Engineering is the backbone of Trade Republic's engineering velocity. Our mission is to build scalable platforms for a Europe-scale bank — serving internal engineers, and building in-house control planes for managing the bank's infrastructure. We’re a ~50-person Platform team focused on one thing: enabling product engineers to move fast and operate autonomously by default.

We build self-service platforms, golden paths, and opinionated tooling so that over 400 engineers can ship with confidence. From Kubernetes fleet management and CI/CD to an internal Developer Hub built on Backstage, our work underpins every trade, savings plan, and card payment that flows through the platform.

THE OBSERVABILITY JOURNEY

In 2023 we made a decisive move: we replaced our observability-as-a-service provider with a fully self-hosted observability stack, giving us complete control over cost, data residency, and the developer experience around telemetry. Today our stack spans the full LGTM suite — Grafana, Mimir, Loki, and Tempo — alongside VictoriaMetrics, self-hosted Sentry, Grafana Alloy as our telemetry collector, and OpenTelemetry as the instrumentation standard. We use Pyrra for SLO tracking and are building toward a unified service health dashboard powered by error budgets and burn-rate alerting.

Telemetry is the backbone of how we operate a bank at scale — ingesting over 100 million samples, serving 400+ services, and capturing end-to-end traces from clients through services to system dependencies. Every trade, every card payment depends on our ability to see, measure, and respond to what's happening in production. We've proven the architecture works. Now we're building a dedicated in-house observability team to take it to the next level: stabilise and harden the platform, drive down cost-per-signal, and build the golden path for observability — where 100% of components ship with production-grade telemetry because the best thing to do is the easiest thing to do.

WHAT YOU'LL BE DOING

• Build and evolve the observability platform: Design and operate large-scale telemetry pipelines while continuously improving core components with a strong focus on automation, reliability, and developer experience.
• Build for scale, design for cost: Architect high-throughput telemetry systems with sampling strategies, data tiering, and retention policies that balance signal fidelity with infrastructure cost at scale.
• Make production observable by default: Define and implement observability and reliability standards — SLOs, error budgets, and low-noise alerting — and actively support engineering teams in adopting them, making doing the right thing effortless.
• Own the platform end to end: Participate in the on-call rotation for the observability platform, ensuring full end-to-end ownership of the systems you build and operate.
• Own the direction and drive it forward: Define long-term observability direction, drive cross-team initiatives from kickoff to delivery, and align observability strategy with broader engineering reliability and business goals.
  
  
  

WHAT WE'RE LOOKING FOR

• 5+ years of experience in observability, platform engineering, or a related SRE/infrastructure discipline.
• We are hiring from senior to staff level, so whether you have a strong foundation and are ready for more ownership or you have been leading observability strategy for large-scale systems for many years, we would love to hear from you.
• Deep hands-on expertise with the observability stack — Prometheus, OpenTelemetry, Grafana, or equivalent at scale. Hands-on experience with Mimir, Loki, and Tempo architectures is a strong benefit.
• Proven ability to design and operate high-throughput telemetry pipelines across distributed, multi-cloud environments.
• Strong command of SLO-based reliability practices — error budgets, burn-rate alerting, and incident response tooling.
• Cloud-native in your DNA: hands-on with Kubernetes, Terraform, and running production workloads on AWS, GCP, or Azure.
• A track record of turning observability best practices into opinionated standards that engineering teams actually adopt.
• Experience driving cross-team technical initiatives end-to-end, from ambiguous problem to shipped solution.
• Ability to contribute to architectural decisions and clearly communicate trade-offs to both engineers and leadership.
• The ability to work in a flexible hybrid setup, with 2-3 days a week in the office.

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable — we're here to win and fix one of the largest challenges Europeans face — closing the pension gap and democratising wealth. If this gets you fired up, reach out!

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.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP
• (Optional): LangChain, LlamaIndex
  
  

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• 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 40-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 1 hour technical discussion with a member of the Data Science team and Engineering 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.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs

Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents

ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output
  
  

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• 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 40-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 1 hour technical discussion with a member of the Data Science team and Engineering 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.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

ABOUT THE ENGINEERING TEAM

Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems by working not only within our squads, but also by working collaboratively with other teams across the organization. 

Our tech stack includes .Net core (C#), Python, Cosmos DB, Service Bus, and more. If you are excited by solving complex technical challenges, this is the right place for you!

WHAT YOUR TEAM DOES...

You would join an internal squad in charge of building the foundations to help other squads to develop / deploy / monitor / secure their services. The team also develops transversal services such as the config service, uploads documents and monitors the Software Development Kit (SDK).

WHAT YOU'LL DO...

• As a .NET C# Software Developer, your technical knowledge and autonomy will let you build complete designs for our applications and features.
• You'll design and implement intuitive, scalable components that drive efficiency across our platform.

WHAT YOU BRING...

• You have a first experience in software development.
• You have used an OOP language, and ideally C# .Net 
• You have a good understanding of Microsoft Azure
• You are able to build and modify high-performance APIs and program
• Bonus: 
• Knowledge of Cosmos DB and Service Bus
• Knowledge and understanding of AI/ML Fundamentals

RECRUITMENT PROCESS

• HR Screening
• Technical Screening with a Back-end engineer
• Final Round with Hiring Manager 

#LI-RH1 #LI-REMOTE

⭐ Join DataDome at a once-in-a-career moment, as we build industry leading AI Agentic cybersecurity solutions on top of our industry-leading bot protection platform. As a Sr. Customer Success Manager, you’ll partner with the world’s largest enterprises to drive measurable impact, shape their success strategies, and help define the future of AI-driven cybersecurity. If you’re a strategic thinker who thrives in fast-moving environments and loves turning complex challenges into lasting customer success, this is your unicorn opportunity.

As the Senior Customer Success Manager EMEA, you will :

• Act as the primary business owner of the customer relationship post-sale.
• Build trusted, long-term relationships with key stakeholders by understanding their business goals and aligning them with DataDome’s capabilities.
• Own the post-sale success of DataDome’s largest enterprise customers, ensuring they achieve desired outcomes and realize full value from the platform.
• Serve as a strategic advisor by translating complex challenges into actionable plans, coordinating cross-functional teams, and driving measurable outcomes.
• Drive product adoption and value realization by maintaining deep product knowledge and guiding customers on best practices, features, and new capabilities.
• Monitor customer health and proactively identify risks and opportunities, developing and executing mitigation and success plans.
• Lead escalation management across internal teams to ensure timely resolution of critical issues and maintain high customer confidence.
• Drive structured business reviews that quantify value, align stakeholders, and position renewals from a place of strength.
• Identify and drive expansion opportunities in partnership with Sales.
• Collaborate cross-functionally with Product, Marketing, Support, and Sales to deliver a seamless customer experience.
• Champion the voice of the customer internally, influencing product direction and operational improvements.

👤 It would be great if...

• 5+ years in a Customer Success Management role
• Experience in cybersecurity and/or SaaS environments is a plus
• Strong business acumen with the ability to connect customer goals to measurable outcomes and DataDome’s value
• Strategic problem-solver who can distill complex challenges into clear, actionable plans and drive execution across teams
• Proven ability to engage and influence senior stakeholders through data, insights, and clear communication
• Executive presence with the ability to build trust quickly and navigate complex customer environments
• Strong cross-functional leadership, with a track record of driving alignment and accountability across internal and customer teams
• Highly organized and effective at prioritization, able to operate in a fast-paced, evolving environment
• Data-driven mindset with the ability to identify patterns, surface opportunities, and translate insights into action
• Collaborative, resourceful, and comfortable building processes in a scaling organization
• Passionate about delivering exceptional customer experiences and building long-term, value-based relationships

Success in This Role Means

• Achieving Revenue Retention across assigned enterprise accounts through proactive engagement, value realization, and trusted advisory relationships.
• Driving measurable customer outcomes such as increased product adoption, demonstrable ROI, and strong advocacy (case studies, references, or expansion opportunities).

What’s in it for you?

• Flex Life: This is a hybrid role that requires partial office presence, to be defined with the manager.. Our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace. 
• Health Benefits: We offer medical, dental, & vision insurance options to keep you feeling your best.
• A $100 annual allowance is provided for a leisure activity of your choice in Sports.
• Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
• Events & Team building: #We care and we have fun! We organise ****Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
• Parent Care: Gifts & care packages to celebrate growing families.
• PTO: 20 paid time off days, 5 sick days and 2 floating holidays ****+ 12 national holidays.
• 401 K eligibility + matching.

What are the next steps?

• Talent Acquisition Manager will contact you for a first chat
• You will then meet with Leta, Chief Customer care
• You will complete a case study and a review with thea team
• The final step will be a one-on-one meeting with Benjamin CEO and Co-Founder
• Welcome to DataDome!

DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud from simple to sophisticated across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform is built on a multi-layered AI engine that focuses on intent, not just identity. Because it’s not about knowing who’s real, it’s about what they intend to do. With thousands of AI models that adapt to every fraudulent click, signup, and login, DataDome blocks fraud in less than 2 milliseconds, without compromising performance. DataDome is fully automated and integrates seamlessly into any tech stack. Backed by a 24/7 SOC team of advanced threat researchers, DataDome stops over 350 billion attacks annually. Experience protection that outperforms with DataDome.

DataDome is an equal-opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

We use automated tools to assist in reviewing applications for this position. These tools help us screen resumes and assess candidate qualifications. All final hiring decisions are made by our team.

About the Role

We're building out the Customer Success Engineering team at Postman, and we need business-minded engineers who can solve real problems at scale. You will partner closely with Customer Success Managers and own the “How” of technical solutioning. This is a consultative role that requires both depth and versatility. This is no support role; you'll be the technical architect of Customer Success, turning complex and nuanced challenges into repeatable solutions that benefit our entire enterprise customer base.

As a CSE, you consult on the technical implementation path. When a customer needs to get from point A to point B, you figure out how to make it happen - whether that means architecting workflows within Postman, guiding integrations, or creating pragmatic workarounds when the product doesn't quite fit. A key part of this role is turning individual solutions into reusable assets that shorten time to value for future customers. We don’t believe in reinventing the wheel each time.

Success in this role requires a blend of technical expertise, systems thinking, and the ability to translate complex business objectives into actionable implementation steps.

What You’ll Do

• Value Acceleration at Scale: You'll unblock customers facing everything from basic setup issues to complex architectural challenges. However, your role isn’t just to fix individual problems – your goal is to identify patterns and build solutions that prevent those problems from happening again. When you solve for one customer, you're solving for hundreds.
• Technical Discovery and Solutioning: Partner with CSMs to understand the business objectives, then translate those into technical reality. This means deep technical discovery, understanding their entire stack, and designing implementation paths that actually work in production. No theoretical solutions – everything needs to be battle-tested and deployable.
• Collateral and Enablement: Build reusable assets such as technical guides, templates, scripts, or reference implementations that scale best practices across customers.
• Product Feedback Loop: Capture customer challenges, propose interim solutions, and document gaps to inform product roadmap discussions.
• Adaptive Problem Solving: When out of the box functionality is insufficient, design pragmatic solutions (workarounds, custom scripts, integrations, etc.) to help unblock and activate customers.

About You

You need 6-8+ years in a technical customer-facing role and a portfolio of “built things”.

Customer Success Engineering, Solutions Engineering, Forward Deployed Engineering, Technical Account Manager… the title doesn't matter as much as the hands-on technical work that solves real problems for customers.

You should have:

• Strong foundation in Computer Science or Engineering (degree or equivalent real-world experience)
• Experience with JavaScript and related technologies such as Node.js or TypeScript, or equivalent experience with other modern scripting languages
• Deep understanding of APIs, developer workflows, and modern DevOps practices
• Proven ability to scope ambiguous problems and deliver working solutions quickly
• Experience building technical collateral that scales - scripts, templates, automation tools
• Comfort engaging both individual developers and enterprise architects
• Fluent in French

You should be comfortable in Postman and familiar with the broader developer toolchain – GitHub, AWS, Azure, and other pipelines. Most importantly, you need to understand how enterprises actually build and ship software, not just how they say they do in planning meetings.

About DV & Scibids

"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/

DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 30+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.

About the Role

The mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work. 

As a Senior Data Scientist, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform. You will drive the evolution of our automation framework, transforming unmet business cases into scalable product enhancements. This role blends rigorous statistical thinking with hands-on implementation, demanding both intellectual precision and practical execution.

This position will combine high development standards, a relentless curiosity, a strong understanding of DV's business priorities and the ambition for your work to become a real game changer!

On a day to day basis, your responsibilities will include:

• Managing projects end-to-end, taking ownership from the initial proof-of-concept phase through to production deployment and monitoring.
• Mentoring junior developers, providing technical guidance, conducting code reviews, and sharing best practices to ensure high code quality.
• Working with massive datasets (billions of ad impressions/month) and millions of variables.
• Solving non-routine analysis problems (not handled by off-the-shelf ML solvers).
• Solving challenging scaling/engineering problems as our system produces thousands of ML models per day.
• Working closely with the commercial and customer success teams to help identify business cases where a new algorithm is needed or existing ones need improvement.
• Identifying and automating any repetitive process taking place at Scibids, including cases where this means developing some AI routines replacing “human common sense.”
  
  

Qualifications

Minimum qualifications:

• MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning).
• 2 to 5 years of professional experience in Data Science with Python/C++.
• Passion for automation and data-driven decisions.

Preferred qualifications:

• Proven professional experience in a SQL-like language.
• Experience deploying machine learning models into production environments.
• Previous experience leading technical projects or mentoring team members.
  
  

Technical stack relevant to the position

• Python
• SQL
• Kubernetes, Docker, Github
• Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore...

Others

• Contract type: full-time position (French “CDI”).
• Based in Paris (75008) – Champs-Elysées
• Preferred availability: ASAP
• Compensation: competitive package including fixed salary, annual bonus and company equity
• Exact figures depend on profile.

#Hybrid