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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.
At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.
You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.
Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.
Ready to apply?
Apply to Dataiku
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.
Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.
Initial call with a member of our Technical Recruiting team
Video call with the Field Engineer Hiring Manager
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with Field Engineer Team members
Final Interview with the Sr Director Field Engineering
Ready to apply?
Apply to Dataiku
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.
As Dataiku scales, we are looking for a new member in our IT team to accompany Dataiku's growth.
The main responsibility for this role is to be the owner of the IT Processes and Knowledge Base, allowing us to collectively reach higher levels of reliability, quality and collaboration.
You’ll collaborate closely with every part of the company’s IT organization : IT Support, Operations and Security, Infrastructure, Systems teams (People, Finance, Business) - to optimize and align practices among them.
IT Processes
Knowledge
First 3 months
First 6 months
First year
What we are looking for
Nice to have
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ITSM : Freshservice, ServiceNow, Jira Service Management…
Project Management : PMP, Prince 2…
#LI-Hybrid #LI-FR1
Ready to apply?
Apply to Dataiku
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.
Dataiku Cloud provides a fully-managed offering for customers to use Dataiku. The team builds and maintains the infrastructure required to run the data science platform at scale in the cloud, as well as building tools for users to manage their instance with ease. We build the launchpad, a SaaS portal where users can create and access their Dataiku instances, configure the instance in as few clicks as possible and monitor its usage.
About the Role
We are looking for a hands-on Engineering Manager to build and guide a new squad within the Cloud Engineering team. You will take the lead of a team of engineers, collaborating closely with SRE, Product, and Ops/Analytics to align technical decisions with business value. Your focus will be on balancing leading from the front with team scalability, establishing engineering standards, and driving the delivery of Cloud features.
What You'll Do
Technical Leadership: You will focus on high-leverage contributions: architecture design, complex code reviews, paying down technical debt, and prototyping. You ensure the technical implementations match our long-term vision and business goals.
Team Building & Growth: You will handle recruitment, onboarding, and the career development of your team. You will be responsible for their performance reviews and growth plans.
Active Technical Contribution: You will maintain a presence in the codebase by working on non-critical path features and chores. You ensure the team has the right technical foundation to move fast.
Delivery Management: You will collaborate with Product to translate roadmaps into features, while consistently driving for an ambitious yet sustainable team velocity.
Cross-Functional Influence: You will act as a key stakeholder in the Cloud organization, collaborating with SRE, Product, and other Engineering Managers to build the roadmap.
Who You Are
Technical Leadership and Vision: You possess a good understanding of distributed systems (Python/K8s/Vue.js). You excel at breaking down product requirements into scalable technical plans. You can guide the team through complex architectural trade-offs.
People Leadership: You have successfully mentored engineers and provided constructive feedback that helped others grow. You prioritize the team's collective success over your individual contributions.
Organizational Awareness: You know how to navigate cross-team relationships to unblock your team. You frame technical decisions in terms of business value and are comfortable aligning your team’s roadmap with broader initiatives.
Technical Stack
Core Backend: Python, PostgreSQL.
Frontend: TypeScript, Vue.js.
Infrastructure: Kubernetes (k8s), AWS.
Observability: Grafana, Prometheus.
Dataiku DSS: You will be orchestrating Dataiku DSS instances, so familiarity with data platforms is a plus.
#LI-AH1
Ready to apply?
Apply to Dataiku
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