Product Manager – Business Applications

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.

About the Role

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: Capabilities like Visual Graph, Visual Edit, and Visual GLM that extend Dataiku's reach to new user personas through targeted, driven use cases.
• Dataiku Business Applications: Packaged, task-oriented, Dataiku-managed applications designed for Business Experts. These applications provide consumer-grade, non-technical front ends while leveraging Dataiku’s underlying platform.

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.

Key Responsibilities

Market & Customer Feedback Coordination

• Market vision overview: build a strong market vision and space understanding for your portfolio of products. Act as the primary expert for these. 
• Research: Conduct targeted market reviews, fact-finding, and customer insight exercises for your portfolio of products. 
• Feedback Collection: Run customer meetings to collect, document, and qualify user feedback.
• Outreach Coordination: Assist in identifying and contacting relevant customers for structured outreach and feedback sessions.

Guided Product Scoping & Execution

• Roadmap definition: Own the centralization of the product roadmap and priorities definition for your scope of products. Ensure you build the right consensus on priorities from all stakeholders incl. SVP Product and VP Engineering. 
• Feature Specification: Write clear user stories and functional requirements for pre-identified, simple product features, ensuring the development team understands immediate implementation goals.
• UX Collaboration: Work closely with the UX/UI team to help map out wireframes and user flows based on existing product patterns and guidelines.
• Development Support: Support the engineering and Technical Product Management (TPM) teams during development by explaining user stories and clarifying requirements.
• Testing & Quality: Coordinate and execute basic test plans to validate features meet defined acceptance criteria before launch.

Launch Support & Tracking

• Release Readiness: Own the delivery of all pre-launch materials, including feature documentation, release notes, and internal product demos.
• Metric Tracking: Implement and track pre-defined KPIs and success metrics to monitor how new features perform post-launch.

Qualifications & Experience

• Experience: 3 to 5 years in Product Management or as a Product Owner within an agile software development environment.
• Core PM Skills: 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.
• Technical Requirements: Experience working with data tools, analytics platforms, or data science use cases. You must possess a solid understanding of data workflows and data science concepts to effectively communicate with our technical teams and users. Direct experience or familiarity with LLMs/GenAI, AI Agents, or building/managing plugin and extension ecosystems is a strong plus.
• Collaboration & Communication: Strong organizational and communication skills, with a collaborative mindset that adapts well to international, cross-cultural team environments.
• Growth Mindset: An eagerness to dive deep into new technical or business domains, actively seeking and applying feedback to grow as a product professional.

#LI-Hybrid #LI-FR1

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: [email protected]

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