Product Manager – Business Applications

As a Product Manager at Dataiku, you will bridge the gap between technical execution and business value for a targeted set of capabilities. Working under the direct guidance of the Senior Manager of Product Management, you will support the execution and rollout of a specific portfolio of pre-identified product features across two key areas: Persona-Specific Features (Visual Graph, Visual Edit, Visual GLM) and Dataiku Business Applications. In this role, you will balance structured technical delivery with customer-facing feedback collection, ensuring that well-defined features are successfully built, tested, and launched.

Responsibilities

Build a strong market vision and space understanding for your portfolio of products; Act as the primary expert for these; Conduct targeted market reviews, fact-finding, and customer insight exercises for your portfolio of products; Run customer meetings to collect, document, and qualify user feedback; Assist in identifying and contacting relevant customers for structured outreach and feedback sessions; Own the centralization of the product roadmap and priorities definition for your scope of products; Build the right consensus on priorities from all stakeholders incl. SVP Product and VP Engineering; Write clear user stories and functional requirements for pre-identified, simple product features; Work closely with the UX/UI team to help map out wireframes and user flows; Support the engineering and Technical Product Management teams during development by explaining user stories and clarifying requirements; Coordinate and execute basic test plans to validate features meet defined acceptance criteria before launch; Own the delivery of all pre-launch materials, including feature documentation, release notes, and internal product demos; Implement and track pre-defined KPIs and success metrics to monitor how new features perform post-launch

Requirements

3 to 5 years in Product Management or as a Product Owner within an agile software development environment; Proven foundational knowledge of the product management lifecycle, including a strong baseline ability to write clear user stories, define acceptance criteria, and manage a tactical backlog from day one; Experience working with data tools, analytics platforms, or data science use cases; Solid understanding of data workflows and data science concepts to effectively communicate with technical teams and users; Strong organizational and communication skills, with a collaborative mindset that adapts well to international, cross-cultural team environments; An eagerness to dive deep into new technical or business domains, actively seeking and applying feedback to grow as a product professional

Nice to have

Direct experience or familiarity with LLMs/GenAI, AI Agents, or building/managing plugin and extension ecosystems