Sr Product Manager

Sr Product Manager

Full-Time 70000 - 90000 ÂŁ / year (est.) No home office possible
Dataiku

At a Glance

  • Tasks: Shape Dataiku's product strategy and innovate AI solutions with a dynamic team.
  • Company: Join Dataiku, a leader in AI orchestration and innovation.
  • Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
  • Why this job: Make a real impact in the AI space and drive meaningful change.
  • Qualifications: 5+ years in product management and hands-on AI/ML experience.
  • Other info: Be part of a diverse team committed to shaping the future of AI.

The predicted salary is between 70000 - 90000 ÂŁ per year.

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.

How you’ll make an impact

You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features. Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run; you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.

What you’ll be doing

  • Embed with strategic customers to run structured discovery (interviews, async collaboration, or on‑site visits) to surface unmet needs before they’re obvious to competitors.
  • Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company’s financial goals.
  • Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy.
  • Collaborate with the Product Marketing team to align and deliver on product positioning messages.
  • Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.
  • Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform).
  • Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.
  • At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.
  • Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.
  • Participate in the development, maintenance and education on the AI/ML roadmap.
  • Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

  • Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state.
  • Focusing on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.
  • Product management focused on feature development, working closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time; you do not dive into technical analysis.
  • Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.
  • Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

  • 5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment.
  • 3+ years hands‑on experience with building AI/ML solutions (e.g., advanced analytics, predictive analytics, GenAI‑powered applications).
  • Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don’t need to be a software engineer, but you produce tangible artifacts that make ideas testable.
  • Ability to engage with business leaders and influence decisions.
  • Proven ability to influence cross‑functional teams without formal authority.

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!

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.

Sr Product Manager employer: Dataiku

Dataiku is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Sr Product Manager to thrive. With a strong commitment to employee growth, Dataiku offers opportunities to engage with strategic customers and shape the future of AI, all while being part of a diverse and inclusive team that values every individual's unique contributions. Located in a vibrant tech hub, employees benefit from a dynamic work environment that encourages creativity and professional development.
Dataiku

Contact Detail:

Dataiku Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Sr Product Manager

✨Tip Number 1

Get to know the company inside out! Research Dataiku's products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.

✨Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral—definitely a win!

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to product management and AI/ML. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements.

✨Tip Number 4

Don’t forget to follow up after your interviews! A quick thank-you email reiterating your interest and summarising key points from your conversation can leave a lasting impression and keep you top of mind.

We think you need these skills to ace Sr Product Manager

Product Management
AI/ML Solutions Development
Prototyping
Customer Engagement
Data Analysis
Market Analysis
Cross-Functional Collaboration
Stakeholder Communication
Innovation Initiatives
Roadmap Development
Technical Understanding
Business Acumen
Influencing Skills
Project Execution

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Sr Product Manager role. Highlight your experience with AI/ML solutions and how it aligns with Dataiku's mission. We want to see how you can make an impact!

Showcase Your Prototyping Skills: Since prototyping is key in this role, include examples of your past work where you've built or demoed applications. We love seeing tangible artifacts that demonstrate your ability to turn ideas into testable concepts.

Engage with Our Values: Familiarise yourself with Dataiku's values around innovation, collaboration, and diversity. Reflect these in your application to show us you're not just a fit for the role, but also for our culture.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you're serious about joining the Dataiku team!

How to prepare for a job interview at Dataiku

✨Know Your Product Inside Out

Before the interview, dive deep into Dataiku's offerings, especially around AI and machine learning. Understand how the platform operates and what sets it apart from competitors. This knowledge will help you articulate your vision for product innovation and demonstrate your genuine interest in the role.

✨Prepare for Customer Engagement Scenarios

Since you'll be embedding with strategic customers, think about how you would approach structured discovery sessions. Prepare examples of how you've previously identified unmet needs or gaps in products through customer interactions. This will showcase your ability to engage effectively and drive meaningful insights.

✨Showcase Your Prototyping Skills

Be ready to discuss your experience with building prototypes or demos. Bring tangible examples of your work that illustrate your ability to create agentic applications. This will not only highlight your technical skills but also your understanding of how to validate ideas before they reach engineering.

✨Demonstrate Cross-Functional Collaboration

Highlight your experience working with diverse teams, such as Engineering, Marketing, and Customer Success. Share specific instances where you influenced decisions without formal authority. This will show that you can navigate complex organisational structures and drive product initiatives forward.

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