À propos du poste

Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.

Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.

En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.

Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et

de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.

En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un

marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.

Responsabilités :

• Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
• Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
• Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
• Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
• Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
• Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
• Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
• Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
• Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
• Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales

Profil recherché :

• Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
• Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
• Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
• Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
• Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
• Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
• Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
• Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
• Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
• Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
• (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien

About the role

Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. 

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. 

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

You may be a good fit if you have:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
• Experience explaining and demonstrating technical products to various audiences
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs 
• Strong project management skills and ability to manage multiple customer relationships
• Passion for AI and interest in responsible development of advanced systems
• Experience working in and building a growing region, while navigating across time zones with US-based headquarters
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
• Fluency in French, bonus if you also have Spanish or Italian as another language

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

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

Inbox is the organisation that looks after Proton's Mail and Calendar products for iOS, Web and Desktop (including our B2B focused Bridge application). As a QA Automation Engineer on the Inbox team, you will play a crucial role in testing Proton's most vital services, including Mail and Calendar. We expect you to be customer-centric, continuously learning, passionate about technology and usability. You are adept at turning technical complexities into seamless user experiences. Effective teamwork, collaboration with Product, Design, APIs, and your team, and data-driven decision-making are essential aspects of this role. 

Tech Stack and Tools:

Kotlin, Java (Jetpack Compose Testing, Espresso, UI Automator), XCode, SWIFT (XCUITest)

What you will do:

• Automate away the waste in the testing of Proton Mail’s mobile applications.
• Shape the overall testing architecture and standards (ensuring consistent metrics, quality approach, defect resolution process, CI/CD pipelines).
• Establish a team mindset focused on quality. Use your sharp eyes and technical knowledge to ensure Proton users enjoy a flawless experience.
• Keep engagement high with a fast-paced development process and ongoing deliveries. Execute and adjust your testing activities accordingly.
• Collaborate closely with Customer Support to identify issues, priorities, and user feedback.
• Define and lead a unified quality strategy for the Inbox Business Unit.

What we are looking for:

• 10+ years of experience as a QA Engineer and at least 2+ years of experience in developing automation for mobile platforms
• Proficiency in Kotlin or Java programming languages, with hands-on experience in UI testing frameworks such as Espresso, UiAutomator, Compose UI Test
• Proficiency in Swift programming language, with hands-on experience in UI testing frameworks: XCUITest and XCTest
• Understanding of CI/CD processes and tools
• Strong technical skills and being pro at identifying issues and solving complex problems
• Good understanding of the software development life-cycle process
• Knowledge of quality assurance methodologies, tools, and processes
• Proactiveness and high motivation

What We Offer:

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

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

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

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

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

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

About the role

We are seeking a Staff Engineer to elevate the reliability, performance, and quality-by-design of Dashlane’s Web Platform. This is a high-impact technical leadership role, shaping long-term architectural direction while enabling teams to deliver faster and more confidently at scale.

As a Staff Engineer, you will act as a trusted advisor and technical multiplier, designing platform-level quality and observability capabilities, influencing engineering decisions across teams, and embedding a security-first, reliability-driven culture. You will combine deep expertise in quality and testing with broad web and platform engineering knowledge to drive sustainable, measurable improvements to our engineering standards and user experience.

Location:

You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

About our stack:

• Programming language: Typescript, Javascript, React, RxJS

• Quality: Sonarqube, ESLint

• Testing:  Jest, Karma, WebdriverIO, Cucumber

• Build: Webpack

• Versioning: Gitlab

• Monitoring: ELK, Tableau

• Documentation and tooling: Confluence, Gitlab, Zoom, Slack

• Misc: Gitlab CI, PNPM, Miro

At Dashlane you will:

• Drive the long-term technical vision for Web Platform quality and reliability, shaping architecture with a strong focus on performance, testability, security, and quality-by-design.

• Design and enable platform-level quality capabilities (testing frameworks, observability standards, CI/CD guardrails, and tooling) that empower multiple teams to ship faster, safer, and with higher confidence.

• Act as a technical leader and multiplier, identifying systemic gaps, driving high-leverage improvements, and ensuring measurable outcomes in Web Platform reliability, stability, and engineering standards.

• Define, implement, and evolve SLIs and SLOs from a web perspective, ensuring reliability and performance targets are aligned with user experience and business priorities.

• Raise the engineering bar across teams by coaching, mentoring, and influencing engineers, while continuously learning and sharing knowledge to foster a culture of technical curiosity, craftsmanship, security, and engineering excellence.

• Partner closely with Product Managers, Engineering Managers, and cross-functional teams, influencing prioritization and decision-making by clearly articulating trade-offs between engineering excellence and business needs.

• Lead and optimize end-to-end testing strategies, improving test effectiveness, execution speed, and confidence in production releases at scale.

Requirements:

• 6+ years of experience in software development
• 3+ years of experience with JavaScript or TypeScript development
• 3+ years of experience with frameworks such as React, AngularJS or VueJS
• 4+ years of experience working in a product-focused company
• Ability to work collaboratively in a team
• Fluency in English

We're Also Looking For:

• Prior experience defining and implementing SLIs and SLOs from web perspective, with a focus on performance, reliability, and user experience
• Strong knowledge of end-to-end testing best practices and test framework optimization to improve quality and execution speed
• Willingness to develop a T-shaped skill set, combining deep expertise in quality and observability with broad platform and web engineering knowledge
• Experience with web extensions and their specific monitoring challenges

What Dashlane offers you:

• Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption
• Health insurance is covered by Dashlane
• Mentorship program - select your mentor from our internal pool and continue your learning path!
• Commute allowance
• Meal Vouchers (Swile)
• Mental health services through Spring Health for you and your family members
• 4 extra days off (one per quarter) to acknowledge the importance of your wellbeing
• Spot in daycare
• Time off saving account
• Donation matching program -  give back to the community and support actions that lead to positive social impact under the historically marginalized communities. Every donation will be matched by Dashlane
• Team buildings & seasonal social events
• Weekly lunch in the office and monthly happy hour
• and many more!

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

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +4 million customers who trusted us with over 35B 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.

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 CLOUD PLATFORM JOURNEY

Trade Republic's cloud infrastructure spans multiple AWS accounts across development, staging, and production environments — supporting regulated financial services across 18 European markets. Today, much of this is managed through Terraform. We're making a deliberate strategic shift: moving from declarative infrastructure-as-code toward programmable control planes — Go-based systems that use tools like Pulumi and Crossplane to continuously govern, reconcile, and automate our cloud foundations.

This isn't about running Terraform plans faster. It's about building software that manages a bank's cloud infrastructure as a product — encoding compliance, security, and cost best practices into systems that enforce the right thing by default. The patterns are already proven: our Kubernetes fleet management uses Crossplane with Sveltos, FluxCD, and ClusterAPI, and our Temporal-backed control planes already manage database and messaging operations using Pulumi. Now we need to bring this same approach to AWS account management, IAM governance, organisational structure, and networking — IAM policies, account structures, network topologies, and organisational guardrails, all governed through code that reasons about intent, detects drift, and converges autonomously.

We've gone from manually provisioned infrastructure to a platform where compute autoscales across clusters, fleet management orchestrates add-on lifecycles across environments, and infrastructure provisioning runs as self-healing workflows with cross-account automation — no human in the loop. The next frontier is bringing this same level of automation to the cloud foundations layer itself.

We also own Trade Republic's partner connectivity — the network fabric that connects us to exchanges, payment providers, and banking partners through site-to-site VPNs, AWS Direct Connect, VPC peering, transit gateways, and more. These connections are mission-critical and must be production-ready ahead of every company release.

WHAT YOU'LL BE DOING

• Build cloud control planes: Design and implement Go-based systems that programmatically manage AWS infrastructure — accounts, IAM, networking, and organisational policies — replacing manual Terraform workflows with self-healing, intent-driven automation.
• Encode governance as software: Turn compliance, security, and cost requirements into programmable guardrails that are enforced continuously, not checked after the fact — meeting the same bar of reliability and self-service that our engineers already expect from the rest of the platform.
• Own partner connectivity: Build and operate the network infrastructure that connects Trade Republic to exchanges, payment providers, and banking partners — ensuring these connections are resilient, secure, and ready ahead of every release.
• Own the platform end to end: Participate in the on-call rotation for cloud infrastructure, ensuring full end-to-end ownership of the systems you build and operate.
• Own the direction and drive it forward: Define the long-term cloud platform strategy, drive cross-team initiatives from kickoff to delivery, and align cloud infrastructure decisions with broader engineering, compliance, and cost goals.

WHAT YOU'LL SHIP IN THE FIRST 6 MONTHS

• Build control planes that integrate into Kubernetes fleet management — solving cross-account and cross-region connectivity, role management at scale, and levelling up our organisational structure.
• Continue refining cloud governance standards for IAM, account structure, and cost controls — pushing further toward enforcement through code, not process.
• Drive reliability improvements across partner connectivity — reducing manual effort, lead time, and failure modes for provisioning and managing network connections.

WHAT WE'RE LOOKING FOR

• 5+ years of experience in cloud platform engineering, infrastructure engineering, or a related SRE/systems 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 cloud platform strategy for large-scale systems for many years, we would love to hear from you.
• Strong programming skills in Go, with experience building infrastructure automation as software rather than scripts.
• Deep expertise with AWS — IAM, Organizations, networking (VPC, Transit Gateway, Direct Connect, VPN), and multi-account architectures.
• Experience with infrastructure-as-code tools (Terraform, Pulumi, Crossplane, or equivalent) and a clear understanding of when declarative configuration ends and programmable control planes begin.
• A track record of building systems that enforce compliance, security, and cost governance through automation rather than manual review.
• Experience with Kubernetes and cloud-native architectures in production.
• Ability to drive 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!

À propos du poste

En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme.

Responsabilités

• Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes.
• Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement
• Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions.
• Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires.

Profil recherché

• Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique
• Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.
  
  

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

À propos du poste

En tant que membre de l'équipe d'IA appliquée chez Anthropic, vous serez un·e architecte avant-vente dont l'objectif est de devenir un conseiller technique de confiance qui aidera les grandes entreprises à comprendre la valeur de Claude et à définir leur vision de la manière dont elles peuvent intégrer et déployer Claude avec succès dans leur infrastructure technologique. Vous combinerez votre expertise technique approfondie avec des compétences en contact avec la clientèle pour concevoir des solutions LLM innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées en matière de sécurité et de fiabilité.

En étroite collaboration avec nos équipes de ventes, de produits et d'ingénierie, vous guiderez les clients depuis la découverte technique initiale jusqu'à la réussite du déploiement. Vous mettrez à profit votre expertise pour aider les clients à comprendre les capacités de Claude, à développer des évaluations et à concevoir des architectures évolutives qui maximisent la valeur de nos systèmes d'IA.

Responsabilités :

• Travailler en partenariat avec les responsables de comptes pour comprendre en profondeur les besoins des clients et les traduire en solutions techniques, en veillant à l'adéquation entre les objectifs commerciaux et la mise en œuvre technique
• Agir en tant que conseiller·ère technique principal·e auprès des entreprises clientes tout au long de leur parcours d'adoption de Claude, de la découverte à l'évaluation initiale en passant par le déploiement. Vous devrez assurer la coordination interne entre plusieurs équipes et parties prenantes pour assurer la réussite des clients
• Assister les clients qui développent des projets avec l'API Claude et Claude pour le travail
• Créer et diffuser un contenu technique convaincant adapté à différents publics. Vous devrez être capable d'aller de l'approfondissement technique pour les équipes de développement et à des conversations axées sur la valeur commerciale avec les dirigeants.
• Guider les décisions d'architecture technique et aider les clients à intégrer efficacement Claude dans leur infrastructure technologique existante.
• Aider les clients à élaborer des cadres d'évaluation pour mesurer les performances de Claude dans leurs cas d'utilisation spécifiques.
• Identifier les modèles d'intégration courants et apporter des perspectives à nos équipes Produit et Ingénierie.
• Se rendre occasionnellement sur les sites des clients pour des ateliers, des approfondissements techniques et l'établissement de relations
• Maintenir une connaissance approfondie des derniers développements en matière de capacités LLM et de modèles de mise en œuvre

Profil recherché :

• Plus de 5 ans d'expérience dans des postes techniques en contact avec les clients, tels qu'architecte de solutions, ingénieur commercial ou responsable de compte technique
• Expérience de travail avec des entreprises clientes, dans le cadre de cycles d'achat complexes impliquant de multiples parties prenantes
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en communication technique avec la capacité de traduire les exigences des clients entre les parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• À l'aise avec Python
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Excellentes compétences en matière de communication et de relations interpersonnelles, capables de transmettre des sujets complexes en termes facilement compréhensibles à un ensemble varié de parties prenantes externes et internes. Vous aimez collaborer avec d'autres organisations, faire des compromis et équilibrer des priorités concurrentes.
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.

Date limite de candidature : Aucune. Les candidatures seront examinées au fur et à mesure de leur réception.

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native French speaker with fluent English proficiency

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles.

En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité.

Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise.

Responsabilités

• Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients.
• Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production.
• Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise.
• Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie.
• Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA.
• Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement.
• Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux.
• Être un champion de la mission d'Anthropic sur le terrain.

Profil recherché :

• Vous avez plus de 4 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature.
• Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle.
• Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production.

Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes.

• Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité.
• Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives.
• Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative.
• Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout.
• Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout.
  
  

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  As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in person with customers.
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Native French speaker with fluent English proficiency
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications 
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.

Please note that the positions are based in Paris, France — relocation and visa 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 trust 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.

WHAT YOU’LL BE DOING

• Build and test services and products using modern tools from the JVM ecosystem such as Kotlin, Spring and Vert.x, Hibernate or jOOQ.
• Design cloud services focusing on high availability, low latency and scalability (on top of AWS).
• Implement automated software delivery using GitHub Actions, container-based CI/CD pipelines, and Kubernetes orchestration.

WHAT WE'RE LOOKING FOR

• At least 5 years of experience in software engineering (preferably in JVM ecosystem).
  • We are hiring from mid to staff level, so whether you have a few years of experience and are ready for more ownership or you have been leading complex systems for many years, we would love to hear from you.
• Experience with developed and shipped scalable features within a service oriented architecture.
• A strong commitment to delivering reliable and maintainable software using an iterative development approach and continuous delivery.
• Experience with building platform services that act as a foundation and accelerator for product development (prior experience in platform/foundations-focused teams is a plus). 
• 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!

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!

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 trust 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.

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.

WHAT YOU'LL BE DOING

Kafka is becoming the central nervous system of Trade Republic — connecting trading, banking, financial crime detection, and more in real time. Today, scaling our Kafka infrastructure to match the pace of the business means too much manual work, too much operational toil, and not enough time building the platform it could be. We are changing that — treating Kafka clusters as fungible shards of a larger resource pool, with a Temporal-backed control plane, Backstage-integrated self-service, and transparent multi-cluster routing that gives product engineers a zero-config experience.

• Run Kafka at scale: Own the reliability and uptime of our Kafka fleet — design for high availability across domains and shards, engineer for resilience, and ensure near-zero downtime across maintenance, upgrades, and failure scenarios.
• Build the streaming platform: Design and implement the control plane that makes the multi-cluster platform real — cluster lifecycle automation, topic and ACL provisioning, cross-shard replication, and the self-service interfaces that let product engineers onboard without understanding the infrastructure underneath.
• Make streaming best practices the default: Define standards for how product engineers produce and consume — topic design, schema management, consumer group patterns, and reliability practices — and embed them into the platform so the right thing is always the easiest thing.
• Own the platform end to end: Participate in the on-call rotation, ensuring full ownership of the systems you build and operate.
• Own the direction: Shape the roadmap, drive cross-team initiatives, and align the streaming platform with broader engineering and business goals.

WHAT WE'RE LOOKING FOR

• 4+ years of experience in streaming, platform engineering, or a related systems discipline.
• We are hiring from senior to staff level — whether you are a strong Kafka engineer ready to take on platform ownership, or you have already been leading streaming platform strategy across large engineering organisations, we'd love to hear from you.
• Deep, hands-on Kafka expertise: you have run self-hosted Kafka in production and have strong opinions on cluster architecture, scaling, replication, multi-cluster design, performance tuning, and security.
• Solid backend engineering background — Go is preferred but any strong language is welcome; familiarity with Kotlin/JVM is a plus as you'll work directly with product teams who rely on it.
• A track record of turning streaming best practices into opinionated standards that engineering teams actually adopt.
• Cloud-native in your DNA: hands-on with Kubernetes and IaC tooling, running production workloads on AWS or equivalent.
• Ability to drive cross-team initiatives and clearly communicate architectural 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!

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 trust 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.

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.

WHAT YOU'LL BE DOING

Our database platform is foundational to how Trade Republic works — every trade, savings plan, and card payment touches it. Today, much of our database operations are handled manually or through basic automation. You will change that: building the platform layer that makes PostgreSQL operations self-service, automated, and reliable by default.

• Run PostgreSQL at scale: Own the reliability and uptime of our PostgreSQL clusters — design for high availability, engineer for resilience, and ensure near-zero downtime across maintenance, upgrades, and failure scenarios.
• Build the database platform: Automate the full operational lifecycle — provisioning, configuration, upgrades, scaling, and backup — turning manual database operations into self-service workflows that run without human intervention.
• Make best practices the default: Define database standards — schema design, connection management, query patterns, reliability — and embed them into the platform so the right thing is always the easiest thing.
• Own the platform end to end: Participate in the on-call rotation, ensuring full ownership of the systems you build and operate.
• Own the direction: Shape the roadmap, drive cross-team initiatives, and align the database platform with broader engineering and business goals.

WHAT WE'RE LOOKING FOR

• 4+ years of experience in database engineering, platform engineering, or a related systems discipline.
• We are hiring from senior to staff level — whether you are a strong Postgres engineer ready to take on platform ownership, or you have already been leading database platform strategy across large engineering organisations, we'd love to hear from you.
• Deep, hands-on PostgreSQL expertise: strong opinions on replication, sharding, backup strategies, upgrades, and security. Hands-on experience with Postgres automation and lifecycle tooling is required.
• Solid backend engineering background — Go is preferred but any strong language is welcome; familiarity with Kotlin/JVM is a plus as you'll work directly with product teams who rely on it.
• A track record of turning database best practices into opinionated standards that engineering teams actually adopt.
• Cloud-native in your DNA: hands-on with Kubernetes and IaC tooling, running production workloads on AWS or equivalent.
• Ability to drive cross-team initiatives and clearly communicate architectural 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!

Traditional password managers are no longer enough to keep up with threats, leaving critical gaps across enterprise tech stacks. Dashlane Omnix™ is modernizing password security and closing these gaps by taking a proactive approach. We empower enterprises with day-one password protection and visibility, automating risk response and securing employee credentials inside and outside the vault to protect against credential-based breaches.

Product Management at Dashlane

Do you get energized by problems that sit at the intersection of security, trust, and everyday user behavior? Are you the kind of PM who digs deep into data, talks directly to customers, and turns ambiguous challenges into clear, compelling roadmaps? At Dashlane, we are working to redefine what credential security looks like — not as a passive storage product, but as an intelligent system that actively prevents risk, surfaces threats reliably, and proves its value to the businesses that depend on it. AI is central to how we are building that future: shaping our product strategy, accelerating how we deliver, and creating experiences that are smarter and more proactive for our customers. If that sounds like the kind of mission you want to wake up for, we'd love to meet you.

About the role

As a Product Manager at Dashlane, you will own the roadmap for one of our most strategically important product areas — credential protection that underpins our security promise. You will work daily within an Engineering Product Design triad along with staff engineers and data analysts to ship high-quality solutions that help businesses prevent credential risk, remediate threats, and demonstrate measurable security improvements to their stakeholders. Your work will span the full product lifecycle: from understanding the nuanced needs of enterprise admins and end users, through defining crisp problem statements and hypotheses, to shipping and iterating rapidly. You will bring business judgment to prioritization decisions, translate customer and market insights into a compelling roadmap rationale, and be accountable for real outcomes.

Location-specific information

This role is based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

At Dashlane you will:

• Own the roadmap for a set of product capabilities — including credential sharing, vault security features, and risk surfacing — keeping it continuously prioritized, clearly justified, and connected to measurable business and customer outcomes.
  
  
• Apply strong business judgment to prioritization: understanding the commercial, competitive, and customer dimensions of every tradeoff, and grounding decisions in technical realities to build a shared, well-reasoned roadmap - communicating a compelling rationale to your team and stakeholders.
  
  
• Bring deep customer empathy to every decision: consistently imagining yourself in the shoes of both the administrator and end user, thinking holistically about their experience and requirements — and balancing that perspective thoughtfully against the pragmatism of MVPs and incremental delivery.
  
  
• Drive discovery and delivery: Working with your EPD triad, validate problems before investing in solutions, scope work small to learn fast, help manage the team's backlog, and ship iteratively with a consistent cadence and high quality bar.
  
  
• Become the domain expert on your product area — deeply understanding how admins and end users think about credential security, what drives insecure behaviors, and how Dashlane can provide a demonstrably better alternative.
  
  
• Define clear success criteria at every level — from sprint goals and user stories to KPIs — and hold yourself and your team accountable for driving impact.
  
  
• Partner with Engineering Management — co-facilitate team rituals and ceremonies, bringing energy and shared ownership to the team's ways of working. While the EM leads on the people side, the PM and EM are united by the same goal: a high-performing, motivated team that ships great work.
  
  
• Collaborate fluidly with engineers — engaging confidently with technical topics and architectural discussions, partnering with engineering early in the solution discovery phase, and constructively challenging solutions, without needing to be an engineer yourself.
  
  
• Collaborate with PMs — work closely with fellow product managers to break new ground on innovative projects, share strategic thinking, exchange feedback, and continuously improve how we work as a product team — including staying at the forefront of how AI can sharpen our craft, accelerate discovery and delivery, and help us stay ahead of the competition.
  
  
• Work across functions — partnering closely with Design, Data & Analytics, Product Marketing, Customer Support, and Sales to ensure every product change ships as a complete, well-considered experience with the right go-to-market and support in place.
  
  
• Communicate with clarity and conviction — aligning your team on strategy and priorities, sharing results (the good and the bad) with broader stakeholders, and keeping your manager informed with focused, concise updates.

Requirements:

• 3–6 years of experience in a product management role, or an equivalent combination of experience and education.
  
  
• Demonstrated ability to own a product area end-to-end: from problem definition and prioritization through to delivery and outcome measurement.
  
  
• Strong business acumen — able to connect product decisions to commercial outcomes, understand market dynamics, and frame roadmap priorities in terms of customer and business value.
  
  
• Comfortable engaging with technical topics and engineering discussions: able to understand how systems work, ask sharp questions, and challenge solutions constructively — without needing an engineering background.
  
  
• A genuine interest in AI backed by hands-on practice — actively weaving AI into the day-to-day craft of product management, with the confidence to identify and champion where it can create meaningful value inside the product for our customers.
  
  
• Strong written and verbal communication skills in English — able to write crisp problem statements, clear 1-pagers, and compelling roadmap rationale.
  
  
• Experience working with data and analytics to inform decisions — able to define metrics, interpret results, and identify actionable next steps.
  
  
• Experience conducting customer research and translating qualitative and quantitative insights into product decisions.
  
  
• Ability to manage a team backlog, write well-crafted user stories, and apply agile practices to maintain a healthy, forward-looking delivery rhythm.
  
  
• You must be legally eligible to work in France.

We're Also Looking For:

• Genuine curiosity about security, privacy, or enterprise SaaS — you don't need to be a security expert, but you should find these problems intrinsically interesting. Bonus points if you're excited by longer-term challenges on the horizon, like the implications of agentic browsing for credential security and what it means for the future of credential security.
• A bias toward action and "progress over perfection" — comfortable making decisions with incomplete information and iterating quickly.
  
  
• Experience working on B2B products and familiarity with the dynamics of selling to and serving enterprise admins and IT teams.
  
  
• A collaborative spirit and low ego — as comfortable deferring to others' expertise as you are asserting your own point of view.
  
  
• Intellectual honesty: willing to share results transparently, learn openly from failures, and update your thinking when the evidence points another way.

Your Impact

We are looking for a Staff DataOps Engineer to join the Data and ML Platform team.

Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

• Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
• Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What you'll bring

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

You'll be a great fit if you:

• You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
• You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
• You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
• You are highly skilled in programming with Python, and have a solid understanding of software development principles
• You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

It would be fantastic if you:

• Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
• Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
• Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
• Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Case Study
• System Design Interview
• Behavioral interview with Hiring Manager
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt
• Full-time
• Paris
• Start date: as soon as possible

We welcome everyone

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

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

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

Join us in building the healthcare we all dream of!

Your data privacy

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

What you’ll do

We are looking for a Senior Staff Machine Learning Engineer to join the Clinical team in the AI and Machine Learning Department. You'll lead the technical direction of AI systems that enhance clinical decision-making and patient care. You'll tackle the hardest problems in healthcare AI, from building voice-powered consultation assistants to establishing LLM evaluation frameworks that ensure clinical safety and efficacy. This role combines deep R&D with strategic technical leadership, shaping how Doctolib deploys AI in regulated healthcare environments.

Your responsibilities include but are not limited to:

Technical Strategy & Architecture

• Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
• Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
• Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows

End-to-End ML Delivery

• Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
• Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
• Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
• Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction

Leadership & Impact

• Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
• Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
• Translate clinical needs into research questions and production systems that measurably improve patient outcomes
• Partner with our medical, legal, and compliance teams to meet EU regulatory expectations (e.g., GDPR, MDR, upcoming EU AI Act) and market standards.

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 have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
• You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
• You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
• You are expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
• You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

Now it would be fantastic if you have:

• Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues
• Experience with EU healthcare regulations (GDPR, MDR, AI Act)
• Prior work with clinical data or healthcare applications

What we offer

• Free comprehensive 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
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• Lunch voucher with Swile card

The interview process

• HR Screen
• Hiring Manager Interview
• Behavioral Interview
• Technical Questions 
• Technical Case Study
• At least one reference check

Job details

• Permanent position
• Full-time
• Hybrid work mode (3 days/week in the office)
• Paris, France
• Start date: as soon as possible

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

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 for inquiries or to exercise your rights.

What you’ll do 

At Doctolib, we're on a mission to transform how healthcare is delivered by harnessing the power of AI.

As a Senior/Staff Machine Learning Engineer, you’ll play a key role in designing, implementing, and scaling the evaluation framework that ensures our AI Health Companion behaves safely, reliably, and helpfully for millions of patients and practitioners.

You’ll join a cross-functional team of Machine Learning Engineers, Product Engineers, and Medical Experts to build robust evaluation pipelines for agentic AI systems — models capable of reasoning, planning, and interacting with complex healthcare data.

Your responsibilities include, but are not limited to:

• Define and own the evaluation strategy for our AI agentic system - metrics, protocols, datasets, and tooling
• Implement and maintain automated evaluation pipelines to monitor model quality, safety, and alignment across iterations
• Run systematic experiments to assess reasoning, factuality, robustness, and user experience
• Collaborate closely with model developers and research scientists to provide insights and drive iterative improvement
• Contribute to research and internal knowledge sharing on LLM evaluation methodologies and best practices

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components 
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!

 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.

• MSc or PhD in Computer Science, Machine Learning, Data Science, or related field
• 7+ years of hands-on experience working with large language models (e.g., GPT, Claude, Llama, or BERT-like architectures)
• Proven experience in evaluating agentic or reasoning systems (e.g., autonomous agents, tool-using LLMs, dialogue systems, or task-oriented assistants)
• Strong track record in experiment design, metric definition, and evaluation automation
• Ability to bridge research and production, influencing modeling and product decisions
• Excellent communication skills and a collaborative mindset

Now it would be fantastic if:

• You have experience in the clinical or medical domain and sensitivity to ethical or regulatory challenges in healthcare AI

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 EU countries and the UK 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

 The interview process  

• Recruiter interview 
• Technical Deep Dive 
• Data System Design 
• Behavioral Interview 
• At least one reference check 

 Job details 

• Permanent position
• Full Time 
• Workplace : Hybrid in our Levallois office
• Start date: asap

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.

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

🌍 About the Team

You will join the Healthcare Access stream within the Patient Domain at Doctolib. This stream sits at the very heart of our product: it owns the end-to-end journey patients take to access care, from discovering the right practitioner to booking their appointment and beyond.

Our teams are tackling some of the most exciting and high-impact challenges in digital health: optimizing search and discovery experiences to help patients find the right care faster, building seamless appointment booking funnels that work at massive scale, crafting a delightful and reliable patient app experience, and expanding access to healthcare for new users and new use cases across Europe.

As a Staff Engineer in this stream, your work will directly shape the interfaces and systems used by millions of patients every day. This is where web performance, frontend architecture, and user experience are not just engineering concerns - they are the foundation of how people access their health.

🎯 Your Impact

As a Staff Engineer, you will be a key technical driver for the Healthcare Access stream. With a strong frontend expertise, you will shape the technical vision of our patient-facing products, ensure architectural excellence, and have a lasting impact on the way we build and evolve our platform at scale.

In a stream where organic search and discoverability are key growth levers, you will also be a champion of web performance and search visibility, ensuring our patient-facing surfaces excel on Core Web Vitals, SEO, and emerging Generative Engine Optimization (GEO) practices.

You will work in close partnership with Engineering Managers, Principal Engineers, Product Managers, and Designers to deliver high-impact projects that simplify and improve how patients access healthcare.

🔧 What You Will Do

Technical Leadership

• Define and drive the frontend technical strategy for the Healthcare Access stream, ensuring architectural decisions align with Doctolib's product and engineering vision
• Lead technical discoveries, architect complex systems, and build consensus on technical direction across engineering, product, and leadership teams
• Identify and introduce new frontend technologies, frameworks, and methodologies when relevant

Engineering Excellence

• Be deeply hands-on: write code, lead technical design, and solve hard engineering problems alongside your teammates
• Demonstrate deep expertise in React and the broader frontend ecosystem (TypeScript, performance optimization, accessibility, design systems...)
• Champion web performance as a first-class concern: define and track Core Web Vitals (LCP, INP, CLS), establish performance budgets, and drive continuous improvements across patient-facing surfaces
• Embrace and champion AI-augmented engineering: leverage AI coding tools (GitHub Copilot, Claude Code...) to boost your own productivity and help the team adopt these practices effectively
• Drive efforts to reduce technical debt, improve system reliability, and proactively mitigate risks

Cross-Team Impact

• Define and build cross-functional programs delivering end-to-end solutions across multiple teams
• Connect teams across the stream by removing collaboration barriers and establishing knowledge-sharing rituals

Mentor and Scale

• Actively mentor and guide engineers across multiple teams through code reviews, pairing sessions, and technical guidance
• Contribute to hiring, knowledge-sharing, and building a culture of engineering excellence across the stream

User First

• Champion a user-centric approach and lead simplification initiatives that reduce complexity and improve the patient experience
• Drive SEO and GEO excellence: ensure our pages are discoverable by both traditional search engines and AI-powered assistants, leveraging structured data, semantic HTML, and content clarity at scale

🛠️ Our Tech Stack

• Frontend: React, TypeScript, React Native (mobile)
• Backend: Java/Spring Boot, Ruby on Rails
• Data: PostgreSQL, OpenSearch, Redis
• Practices: continuous deployments, CI/CD pipeline, test-driven development, feature flags, canary deployments

🙋 What you’ll bring

Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply! You’ll be a great fit if:

• You have extensive experience (8+ years) as a Staff or Principal Engineer with a strong frontend specialization
• You are a technical leader who can influence strategy and build alignment across teams and leadership
• You have deep expertise in React and frontend architecture at scale, and are comfortable navigating the full stack when needed
• You think in terms of system design, able to spot single points of failure and design for reliability and scalability
• You have a strong understanding of web performance (Core Web Vitals, Lighthouse, performance budgets) and search engine visibility (SEO fundamentals, structured data, and emerging GEO practices) as competitive differentiators for consumer-facing products
• You have adopted AI-augmented development and actively experiment with AI tools to enhance your own productivity and that of your team
• You are user obsessed: you go the extra mile to fix the hard edge cases that users hit
• You have excellent communication skills and know how to turn complex technical topics into clear, actionable decisions
• You are comfortable speaking English in your day-to-day with the team

Now, it would be fantastic if:  

• You are passionate about healthcare and motivated by the mission of improving access to care for millions of people
• Experience in a high-traffic, consumer-facing web product is a strong plus

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Coding interview
• System Design Interview
• Behavioral Interview
• At least one reference check
• Offer!

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Full-time
• Location: Paris, France
• Start date: as soon as possible

We welcome everyone

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

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

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

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

What you'll do

We are looking for a Staff Mobile Engineer with strong expertise in React Native to join our Patient domain at Doctolib.

As a Mobile Staff Engineer, your mission will be to work on transforming the Doctolib mobile app into a full health companion powered by AI to help people lead healthier lives. You will play a key role in improving the quality, UX, and depth of our mobile application while contributing significantly to the technical foundations of mobile development for the team.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to:

• Establish and evolve mobile architecture patterns and technical standards for the patient domain
• Drive technical excellence across mobile development, ensuring high code quality and best practices
• Contribute to the technical roadmap and guide architectural decisions for the mobile platform
• Mentor and support mobile engineers in implementing robust, scalable solutions
• Lead by example in building features that enhance the user experience and app performance

About our tech environment

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• Our mobile applications are built with React Native. The rest of our stack is composed of Rails, TypeScript, Java, Python and Kotlin.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

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 have at least 5+ years of software engineering experience building high-usage mobile applications, ideally in B2C environments
• You have deep expertise in React Native and mobile development best practices
• You have a track record of establishing technical standards and improving code quality at scale
• Are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints.
• You demonstrate strong technical leadership and the ability to guide teams through complex technical challenges
• You are fluent in English

Now it would be fantastic if you:

• Have experience working in healthcare or other regulated industries
• Have contributed to open-source mobile projects or mobile developer communities
• Have experience with native iOS or Android development alongside React Native

What we offer

• Free comprehensive 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

Job details

• Permanent position
• Full-time
• Paris, France
• Start date: as soon as possible
• Working mode: hybrid

The interview process

• Recruiter Interview
• Mobile Pair Programming
• Mobile App Design
• Behavioral Interview
• At least one reference check
• Offer!

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! 

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 for inquiries or to exercise your rights.

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: 

We are looking for a Senior Data Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).

In this role, you will not only build scalable, production-grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products.

You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain-oriented data ecosystem.

You will report directly to the Senior Data Engineering Manager and work in close collaboration with:

• DataOps team: who own the Data Platform infrastructure
• Architects: to ensure technical decisions align with enterprise architecture
• BI teams, Engineering teams and Data Science teams: who are the main consumers of the platform

Key Responsibilities

Technical Leadership & Delivery

• Design and implement scalable, production-grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability).
• Lead the evolution of orchestration patterns in Airflow to improve scalability, reliability, and maintainability.
• Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap.
• Contribute to shaping and validating the target data architecture in collaboration with Architects, Staff Engineers, and DataOps.
• Proactively identify system weaknesses and design for failure, defining mitigation strategies and resilience patterns.

Data Governance & Quality

• Implement and enforce data contracts and quality controls aligned with defined SLOs.
• Apply data modeling best practices including medallion architecture to create trusted, reusable data assets
• Contribute to establishing domain ownership principles and clear single sources of truth.
• Ensure lineage, metadata, and observability mechanisms are embedded by design in all pipelines.

Enablement & Collaboration

• Drive technical alignment across teams through clear documentation, standards, and mentoring.
• Partner with DataOps to ensure infrastructure, CI/CD, and platform automation at scale.
• Actively support product and engineering teams in adopting the platform, with a strong focus on developer experience.
• Build cross-functional relationships to accelerate adoption and drive platform impact.

Technical Expertise

You Must Meet These Critical Qualifications 

Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership.

Data Platform & Architecture

• Deep hands-on experience with a modern cloud lakehouse in production-grade environments (e.g. Snowflake, Databricks, …).
• Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution.
• Proven experience designing scalable, incremental ELT pipelines.
• Strong understanding of MPP systems and distributed data processing principles.

Performance & Cost Optimization

• Experience optimizing query performance and compute cost in cloud data warehouses.
• Cost-aware design mindset.

Orchestration & Data Integration

• Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies.
• Strong experience designing and operating production-grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom ingestion frameworks.
• Experience designing self-service data platform capabilities is a strong plus.

Cloud & Infrastructure Engineering

• Strong experience with AWS-based data architectures (S3, IAM, networking fundamentals).
• Hands-on experience with Infrastructure as Code (e.g. Terraform).
• Experience implementing CI/CD pipelines for data workflows.
• Understanding of security-by-design principles in cloud data environments.

Data Quality, Governance & Observability

• Experience implementing data quality frameworks, data contracts, and validation strategies.
• Strong understanding of metadata management, lineage tracking, and monitoring practices.
• Experience embedding observability and reliability into pipelines (alerting, SLOs, incident response mindset).

Execution & Autonomy

• Lead initiatives end-to-end, from problem framing to production rollout, with high autonomy.
• Structure complex technical problems into actionable plans and manage cross-team dependencies.
• Make informed architectural trade-offs balancing scalability, cost, reliability, and time-to-market.
• Take ownership of platform stability and continuously improve operational excellence.
• Mentor and help other engineers grow through technical guidance and feedback.

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

👩‍🦽 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