At a Glance
- Tasks: Shape AI product strategy and collaborate with teams to drive innovation.
- Company: Join Dataiku, a leader in AI success and enterprise orchestration.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact in the evolving world of AI and drive meaningful change.
- Qualifications: 5+ years in product strategy and hands-on AI/ML experience required.
- Other info: Diverse and inclusive workplace with a focus on innovation.
The predicted salary is between 80000 - 100000 £ 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.
If you’re ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we’re waiting for you!
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. You will focus 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; you work 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.
Senior AI/ML Product Strategy Lead employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Product Strategy Lead
✨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!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI/ML product strategy. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email reiterating your enthusiasm for the role can leave a lasting impression and keep you top of mind.
We think you need these skills to ace Senior AI/ML Product Strategy Lead
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior AI/ML Product Strategy Lead role. Highlight your experience in 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 and 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 and culture. In your application, reflect on how your personal values align with ours. We’re all about innovation, collaboration, and growth, so let us know how you fit in!
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 AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your hands-on experience with building AI/ML solutions, as well as any prototypes you've created. This will show that you're not just familiar with the theory but can also apply it practically.
✨Understand Dataiku's Vision
Dive deep into Dataiku's product offerings and their approach to AI success. Familiarise yourself with their platform and how it connects various components of the AI stack. This knowledge will help you articulate how your skills align with their goals and how you can contribute to their mission.
✨Prepare for Cross-Functional Collaboration
Since this role involves working with multiple teams, think about examples from your past where you've successfully influenced cross-functional teams. Be ready to share how you navigated challenges and drove initiatives forward without formal authority.
✨Showcase Your Prototyping Skills
Bring tangible examples of your work, like UI mockups or demos of agentic applications. Being able to demonstrate your ability to build and validate prototypes will set you apart and show that you can turn ideas into testable concepts before they reach engineering.