About this role.
Dataiku is seeking a mid-level Product Manager to guide business-application and persona-specific capabilities from market research through launch. The role combines tactical product execution, including user stories, acceptance criteria, backlog prioritization, testing, and release readiness, with structured customer-feedback collection. The Product Manager will collaborate closely with senior product leadership, engineering, TPM, and UX/UI teams while tracking predefined post-launch success metrics. Strong familiarity with data workflows, analytics platforms, and data-science concepts is required; exposure to GenAI, AI agents, or extension ecosystems is advantageous.
Role DNA
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Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
3/5Communication Load
5/5Salary analysis
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Core skills
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Sample interview questions
I would first document the user's context, desired outcome, current workflow, and evidence of the problem. I would validate whether the feedback represents a broader persona need, then frame a problem statement, define success metrics, and write prioritized user stories with measurable acceptance criteria.
I would assess each request against strategic alignment, customer impact, reach, urgency, implementation effort, dependencies, and risk. I would make the trade-offs visible through a consistent prioritization framework, align stakeholders on the decision, and maintain a roadmap that explains both what is prioritized and why.
I would begin by clarifying the user problem and reviewing existing patterns, constraints, and relevant usage data. With UX, I would validate flows and wireframes; with engineering, I would clarify scope, technical dependencies, and acceptance criteria. I would keep decisions documented so the team can move efficiently while preserving a consistent user experience.
I would establish success measures before launch, such as activation, task completion, adoption by the target persona, repeat usage, support volume, and qualitative user satisfaction. After launch, I would monitor the metrics against a baseline, collect targeted feedback, identify friction points, and propose iterative improvements based on evidence.
I tailor the level of detail to the audience while keeping the underlying objective consistent. For technical teams, I provide precise requirements, edge cases, and acceptance criteria; for business users, I focus on workflows, outcomes, and trade-offs in accessible language. I confirm shared understanding through written artifacts, demos, and regular feedback loops.
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: reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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