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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . The Platforms Infrastructure team is seeking a driven individual to join us in addressing our evolving infrastructure challenges. At Dataiku, our mission is to architect, deploy, and maintain robust data platforms centered around our core product. We also provide industrialization and production configurations for mission-critical web services. As domain experts, we proactively develop and disseminate reference infrastructure, best practices, knowledge, and tooling across all technical teams at Dataiku. This role encompasses a broad spectrum of responsibilities, from leveraging high-level managed services at hyperscalers to performing in-depth, low-level Linux debugging. As a key contributor to the deployment of our core product, the team actively participates in development initiatives related to infrastructure and Linux system interactions. We foster a collaborative environment and seek a like-minded individual to engage in highly collaborative projects. Effective communication skills are essential for interacting with diverse teams throughout the company. This position is based in Paris and may be considered for remote work. Your responsibilities: • Design, deploy, and manage our core product based internal data platforms. • Design, deploy, and configure production environments for multiple web services. • Collaborate with teams to architect technical solutions, and subsequently deploy and manage those solutions. • Develop core product features around cloud services and Linux integration. • Guarantee optimal service capacity and robust security for all running workloads and services. The role might be a good fit if you have: • Proficiency in infrastructure automation using tools such as Terraform. • Expertise in container technologies and managed Kubernetes clusters. • Advanced scripting skills in Python. • Field experience with Linux operating systems and low-level system troubleshooting • Practical experience in networking and compute within a major cloud provider (AWS, Azure, or GCP). • Demonstrated resilience in resolving complex technical challenges, with a relentless pursuit of root cause analysis. Bonus point for any of these: • Experience in implementing authentication and authorization systems, including LDAP, SAML, and OAuth2. • Experience with configuration management tools as Ansible, Puppet or Chef. • Knowledge of additional programming languages, particularly Go, considered a strong asset. • Experience in networking and compute across multiple cloud providers (AWS, Azure, or GCP). What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience …

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts. How you'll make an impact • Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan • Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks • Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team • Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing • Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including: • Dataiku platform architecture and deployment • Platform operations and upgrades • Best practices for platform usage • Security, data management, and compute resources • ML-Ops, monitoring, and scaling strategies • Assist clients in integrating the product into their systems and troubleshoot technical challenges • Capture client feedback and feature requests to inform the Product and Engineering teams • Advise client tech leaders on complementary technologies and long-term technical strategy. • Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps What you'll need to be successful • 7+ years of experience in a customer-facing technical role • Professional proficiency in French and English • Strong communication and client relationship skills • Experience supporting both pre- and post-sales engagements • Proficiency in Linux system administration, including networking • Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM) • Hands-on experience with cloud platforms (AWS, Azure, GCP) • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning • Familiarity with the Hadoop and/or Spark ecosystems How you'll stand out • Experience with Python • Data-Science knowledge • Basic knowledge of Java • Familiarity with ML-Ops practices and tools What does the hiring process look like? #LI-Hybrid #LI-AN1 • Initial call with a member of our Technical Recruiting team • Video call with the TAM Hiring Manager • Technical Assessment to show your skills (Home Test) • Debrief of your Tech Assessment with TAM Team members • Customer-facing situational peer interview • Final Interview with the VP Field Engineering LI-JR1 L1-AH1 What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by …

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here . Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github , you can also take a look at the Gallery , a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here . How you’ll make an impact As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: • Data Preparation : Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. • Add new capabilities for data integration, transformation, and visualization using LLMs • Optimize workflows for large-scale datasets and improve database support • Strengthen developer tools like Jupyter notebooks and SQL workbenches • Tech stack: Java, Python, AngularJS, Angular • AI & Machine Learning : Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models • Collaborate with research teams on innovative machine learning experiments • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS • Data Consumption: build the experience that makes data accessible and actionable for everyone. • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more • Create innovative interfaces that answer business questions and surface relevant insights using LLMs • Tech stack: Angular, AngularJS, Java, Python • Data Visualization : elevate our data visualization capabilities with high-performance charting tools and dashboards. • Develop new chart types and optimize visualization performance • Enhance dash boarding capabilities to deliver fast and flexible experiences • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring • MLOps : Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. • Build tools to automate retraining, monitoring, and deployment of ML models • Enhance collaboration features for ML stakeholders • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker • Platform : Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. • Optimize processing engines for scalability and latency • Expand capabilities to support new databases and cloud platforms • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP • AI Governance : Build features for AI compliance, connecting disparate systems and simplifying governance processes. • Develop customizable platforms for managing AI compliance and governance • Simplify policy enforcement and integration across disparate systems • Tech stack: Java, Angular, PostgreSQL What you need to be successful • We’re stack agnostic, so all you need is a significant experience in software engineering, building a real product • We’re hiring at all levels (junior, mid, senior) • A passion for combining backend performance with exceptional frontend user experience. • You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale What does the hiring process look like? • Initial call with a member of our Technical Recruiting team (45min) • Video call with an …