Responsibilities
- Build core Dataiku DSS features across full-stack product areas.
- Develop data integration, transformation, cataloging, visualization, notebook, SQL workbench, and API capabilities.
- Build AI, machine learning, LLM, model lifecycle, monitoring, and deployment features.
- Create collaborative workspaces, dashboards, charts, and user experiences that make data accessible and actionable.
- Optimize processing engines, visualization performance, scalability, latency, cloud integrations, and database support.
- Develop AI compliance, governance, policy enforcement, and cross-system integration capabilities.
- Participate in technical assessments and interviews as part of the hiring process.
Requirements
- Significant experience in software engineering and building a real product.
- Backend and frontend engineering capabilities with a focus on performance and user experience.
- Stack-agnostic mindset and ability to work with a broad range of technologies.
- The company is hiring junior, mid, and senior engineers.
- Passion for working in a fast-paced, high-growth environment on engineering challenges at scale.
Benefits
- Remote work arrangement.
- Opportunity to work across data science, machine learning, AI agents, cloud infrastructure, and governance technologies.
- Opportunity to contribute to open-source communities and collaborate with global engineering and research teams.
- Inclusive equal-opportunity workplace with accommodations available for candidates who need them.
Tech Stack
Categories
About 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 AI agents, analytics, and machine learning with the transparency, collaboration, and control enterprises require. For more than a decade, Dataiku has helped organizations turn data, analytics, and AI into measurable business value. As the market has evolved from analytics to machine learning to generative AI and agents, Dataiku has enabled customers to stay ahead—operationalizing new technologies while maintaining stability, governance, and trust. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack, enabling organizations to run AI across multi-vendor environments with centralized governance and oversight, at scale. Today, many of the world’s leading companies rely on Dataiku to deploy AI applications and agents in some of the most complex and highly regulated environments — turning AI into an enduring source of performance, competitive advantage, and long-term business value.