About this role
This remote Product Manager role at Dataiku in France bridges technical execution and business value for packaged, task-oriented business applications. It is an ideal fit for agile professionals with a strong background in data tools who want to shape the future of enterprise AI orchestration.
Role Overview
As a Product Manager for Business Applications at Dataiku, the professional works under the direct guidance of the Senior Manager of Product Management. The position focuses on executing and rolling out pre-identified features across persona-specific capabilities and consumer-grade business applications designed for business experts. The candidate balances structured technical delivery with customer-facing feedback collection to build, test, and launch valuable product features.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Dataiku is the platform for AI success, providing an enterprise orchestration layer for building, deploying, and governing artificial intelligence, machine learning, and analytics. Leading global companies rely on the platform to operationalize AI across multi-vendor environments with centralized governance. The organization operates under equal opportunity practices grounded in dignity, fairness, and the celebration of diverse identities.
How to Apply
Interested candidates should submit their application directly through the official Dataiku careers page to begin the recruitment process.
Questions candidates ask
What is the primary focus of this Product Manager role?
The role focuses on bridging technical execution and business value for persona-specific features and Dataiku Business Applications, which are packaged, task-oriented applications for business experts.
How many years of experience are required?
Candidates must have three to five years of experience in Product Management or as a Product Owner in an agile software development environment.
Is this position remote?
Yes, this position is located in France and is designated as remote.
What technical background is necessary?
Applicants need experience working with data tools, analytics platforms, or data science use cases, plus a solid understanding of data workflows.
Are there any preferred technical skills?
Direct experience or familiarity with LLMs, GenAI, AI Agents, or plugin and extension ecosystems is considered a strong plus.
