Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation.

Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from data exploration to project & model deployment and monitoring.

Mission Description

Appetite for Gen AI is big, but practical approaches often remain to be unlocked for material success to be delivered. Our unique value proposition, centered around offering organizations to accelerate comprehensive Gen AI roadmaps from design to deployment with high standards of scalability and quality, demands for customers to move past the experimentation stage into tangible delivery to deliver highest impact. As we accompany them on this journey, we have a unique opportunity to put current capabilities in motion, and shape coming features through transformative co-innovation motions.

As a Technical Gen AI Product Specialist you will be in the field with our customers supporting them in unlocking the potential of our GenAI value proposition. You will guide our customers through any technical challenges they may face and build relationships with stakeholders. Your role will allow Dataiku to further reinforce its positioning in the Gen AI space, and you will play a key role in ensuring full enablement of our different teams on our value prop.

How you’ll make an impact

• Act as a technical Expert on Dataiku’s Gen AI value prop both in terms of vision and features as well in putting it in action. Practically speaking, you will be engaging with customers and partners at different stages of the funnel, supporting them in understanding how to address their immediate Gen AI priorities with Dataiku, including being the hands-on lead in delivering first success.
• Develop the right set of assets to build more scale and autonomy across teams, along with PMM and other teams. You will notably work on the roll out of Agent Connect and other Gen AI features, ensuring their usage significantly grows, with all enhancements needs being well documented. As part of this mission, you will play a key role in actively supporting functional tests of different Gen AI capabilities and early prototyping. You will actively work on developing a strong applied vision of Gen AI along with the Solution team and will actively contribute to building golden demos or solutions leveraging Dataiku’s capabilities.
• Significantly reinforce our detailed understanding of Gen AI deliveries by our existing customers.
• Reinforce our range of supporting partnership and grow our resonance in the Gen AI eco-system. As part of this, you will support or lead the development of new partnerships (with consulting and tech partners), ensuring Dataiku is always fully aware of the eco-system evolution, and well identified.
• Testing other technologies and how they relate/integrate with Dataiku.
• Tactical development of new technical assets working closely with R&D.

Why this is a unique opportunity

• Be the Tip of the Spear: You will be hands-on with customers guiding them to their first major successes with Gen AI and agents on Dataiku, directly influencing their technology roadmap and our partnership.
• Shape the Future: While you won't own the product roadmap , your direct feedback from customer engagements and early prototyping will be critical in shaping upcoming features and co-innovation initiatives.
• Build Your Brand: You will have the opportunity to reinforce Dataiku's position in the Gen AI space by developing partnerships with consulting and tech partners and growing our resonance in the AI ecosystem.
• Drive Scale and Enablement: The assets, demos, and best practices you develop will be used to enable teams across Dataiku, multiplying your impact and building your reputation as a go-to expert.

What a typical week could look like

• You might spend Monday and Tuesday in deep, hands-on sessions with a new customer, building out their first RAG or Agentic application and overcoming technical hurdles to deliver initial success.
• On Wednesday, you could be collaborating with the Product Marketing and Solutions teams to build a "golden demo" that showcases a new Agent Connect capability for an upcoming industry event.
• Thursday may involve a strategic call with a new tech partner to explore integration possibilities, ensuring Dataiku stays at the cutting edge of the ecosystem.
• On Friday, you could be documenting your findings from the week, creating reusable assets for the wider team, and participating in functional testing for an early-stage prototype.

What you need to be successful

• You have 5 years+ of experience in the data science and technology field, with a solid track record in understanding new technologies, market trends, and putting new tech in motion. With deep hands-on experience in delivering data science projects involving Large Language Models. Capable of explaining technical concepts in a simple, business friendly manner, to test and learn so as to identify the best approaches quickly.
• Degree in Computer Science, Engineering, or a related field, with relevant certifications in AI and machine learning considered a plus.
• Passionate about cutting-edge technology and its practical applications, especially in AI and machine learning.
• Skilled in building and customizing AI agents tailored to meet specific customer needs and business objectives.
• Familiarity with AI & Agentic development tools, frameworks (langchain, LlamaIndex or similar), and methodologies, with a continuous learning mindset to stay updated with industry trends.
• Experience with RAG and vector databases
• Conceptual understanding of core architectural components like Kubernetes
• Strong understanding of Dataiku and its positioning.
• Strong communication skills
• Organized, structured, able to produce strong reusable assets (from slides and docs to Gen AI use-cases and other technical assets)
• 3+ years of experience with Python, hands on experience with data ETL, cleaning, machine learning algorithms and Large Language Models. Experience developing WebApps (Javascript,Dash or RShiny..) will be a plus.
• Based in EMEA at or close to a Dataiku office, and able to travel.#LI-Hybrid