Dataiku

🚀 We are hiring at Dataiku for a Belgium-based Senior Sales Engineer to join our Central Europe team. This role offers an exciting opportunity for someone passionate about: - AI & Data Science - Customer engagement - Technical storytelling - Strategic problem-solving In this position, you will collaborate with leading enterprises to help them operationalize AI at scale, from discovery and demos to proof-of-concepts and achieving real business impact. What makes this role special: - Hands-on experience with cutting-edge AI and data technologies - High visibility with enterprise customers - A blend of technical depth and commercial strategy - The chance to influence how organizations adopt AI responsibly and effectively If you are a Sales Engineer, Data Scientist, Solutions Consultant, or technical pre-sales professional who excels in customer-facing environments, I would love to connect. Apply here: https://lnkd.in/eWYymqG6

Really exciting full-circle moment for me personally. I spent the last 4+ years at Dataiku helping build and grow the Snowflake partnership and now I’m at Snowflake helping lead it from this side. Seeing the launch of Dataiku Cobuild on Snowflake feels incredibly special! What excites me most is that this is bigger than an integration. It’s a real step toward enterprise AI systems where humans and AI build together with #governance , #trust , and production scale built in from the start. Proud of what the teams at both Dataiku and Snowflake have built together, and even more excited for what’s ahead. ❄️🤝🚀 Patrick Phrayme (Masi-Phelps) Jed Dougherty Philip Coady Elizabeth Taye Mohler Brian Power Irene Jimenez Kate Gibbons-Savage Hugo Sheng Randy Pettus Remy Thellier

A lot of AI tooling today can generate code, but very little of it can generate trust. That’s the gap enterprises are running into right now. Business teams want the speed of AI-assisted development. IT and governance teams need visibility, control, and confidence before anything reaches production. Most organizations are stuck trying to reconcile the two. Today, we're introducing Cobuild on Snowflake. Cobuild turns a business objective written in plain language into a fully governed AI workflow inside Dataiku. Data prep, models, agents, applications, orchestration — generated as visual, inspectable systems that teams can validate, improve, and operationalize together. And with Cobuild on Snowflake, customers can do this directly where their data already lives. What matters here is not just faster development. It’s expanding who can participate in building AI while preserving the governance enterprises require to scale it responsibly. The future of enterprise AI will not be won by who generates the most code. It will be won by who can turn AI-generated work into systems businesses can trust, measure, and run at scale. Excited for customers and partners to see this live at Snowflake Summit and Databricks Summit over the next few weeks. More to come. https://lnkd.in/eA4_PXiv

UIs are dead. Not the pixels. The philosophy. Traditional interfaces were built for discoverability, to guide humans through complexity. But when AI handles the complexity, the interface has a different job entirely. Modern business applications don't have a "user interface." They have a visual abstraction layer between a human and an AI, and that layer has to work for both sides of the conversation. The old optimization function: ease of use. The new one: human trust, hallucination detection, feedback loops. That's what we built Dataiku Cobuild for. Cobuild is an interface designed for the moment when a human and an AI are building something together: data pipelines, ML models, agent systems. Not a chatbot. Not a copilot. A collaborative surface where the human stays in control and the AI stays accountable. Today, we're releasing Dataiku Cobuild on Snowflake. It uses Cortex, which isn't just another AI, it runs on Snowflake. With Cobuild on Snowflake , you get an interface purpose-built for working with Snowflake AI to build Snowflake-native data products and agents, end to end, in your stack. Come try it at Snowflake Summit, June 1-4 in San Francisco. We'll be right next to Moscone. All that snow is a good thing. Because the GPUs are melting ☃️ https://lnkd.in/ei56MUfJ

Tech debt dressed up as transformation. That is the dirty secret of enterprise AI right now. A massive amount of what has been "built" in the last 18 months is sitting in production that nobody can explain, validate, or defend. AI coding assistants, vibe coding, call it what you want, made it dangerously easy to generate workflows that look finished and fall apart the moment a regulator asks one question. Here is what gets missed: the hard stuff was never the code. It was always the governance, the integrations, the security, the auditability. Generating faster does not make any of that go away. It makes it more urgent. That is what we built Dataiku Cobuild on Snowflake to solve. An ops team building a supply chain agent, a finance team automating risk reporting, a marketing team spinning up a campaign model: describe the objective in plain language and get a complete AI project back. Pipelines, models, agents, applications. Visual, inspectable, running inside Snowflake Cortex, the AI infrastructure the world's largest enterprises already trust, so your data never leaves. No black boxes. Just AI your business can stand behind. See how it works: https://lnkd.in/gUZjPyHB

If you’re attending Snowflake Summit June 1-4, send me a message to connect there to discuss Snowflake + Dataiku Cobuild.

Excited to be returning to Snowflake Summit 2026 in SF (June 1–4) with the Dataiku leadership team! As a 4x Snowflake Partner of the Year, we’re excited to show how Dataiku and Snowflake maximize AI ROI by turning raw data into production-ready agents and pipelines in weeks, not months. Together, we provide the governed infrastructure needed to scale reliable AI across the entire enterprise. Where to find us: 📍 Booth #2414 (Moscone Center) 🏠 Dataiku HQ (645 Howard St) – Our dedicated space for executive meetings, networking, and daily catered fuel 🎤 Sessions featuring Sanofi and our experts on building agentic workflows. If you'll be in San Francisco, let’s connect! Drop a comment or DM to grab time for a 1:1 at Dataiku HQ. #SnowflakeSummit #Dataiku #GenAI #AI #Agents #Analytics #AgenticAI #DataScience

🚀 1 and a half years, countless conversations, and one exciting update 🚀... 🏆 I’m happy to share that I’ve been promoted to Senior Business Development Representative at Dataiku ! 🏆 Not a scooby where the last 18 months have gone, let alone the pace of change in the AI space right now. When I first joined, the conversation was about what’s possible. Today, it’s about how quickly Dataiku can turn those possibilities into REAL & tangible ROI 📈. Being at the forefront of this shift with Dataiku has taught me: 1️⃣ Adaptability is everything: The market moves fast, but our customers move faster because they have bridged the gap between IT and business domains. 2️⃣ Collaboration wins: Not only in our platform, but success here is a team sport. You only have to look at our culture for that. 3️⃣ Data is the heartbeat: The right foundations are critical to any successful pilot. A huge thank you to my teammates and the leadership at Dataiku for the constant support, growth opportunities, and the challenge. In particular: Ellie Smith , the GOAT of managers, thank you for the constant support and belief. Lawrence Elliott , Oakley Purchase , Ricky Dosanjh , Chris Norris , Ricardo Moreira , and James Barratt : the learning and growth opportunities with you all have been unmatched. Can’t wait to see what this next chapter holds! P.S. Cheeky little sneak peek at the Gartner D&A summit this week 👀 #Dataiku #AISuccess #Promotion #SalesDevelopment #DataScience #Agents #AgenticAI #GenAI #Analytics #Growth

Who owns AI in your organisation? 🤔 The CIO? The CDO? A new Chief AI Officer? A business unit? Everyone? No one? That was the question on the table at our Dataiku Executive Roundtable in Johannesburg yesterday, and the answers from South Africa's data and AI leaders were as varied as the businesses in the room. 🇿🇦 This is exactly why we bring these conversations to life at Dataiku: getting the leaders closest to AI in one room to work through the questions that separate AI experimentation from AI Success. Because the formula is clear: ✨ People + Orchestration + Governance = AI Success Ownership isn't about a title. It's about connecting the people, the systems, and the governance so AI actually delivers business outcomes, at scale. Thank you to MIT Sloan Management Review - Middle East and to our partner KPMG South Africa for making it happen! Krish Govender , Faye Murray, Sharmlin Moodley , Ariane Leguen de Kergolan , Sachin Gupta , Dee N. , Siddhartha (Sid) Bhatia , Maged Mahmoud , Suvir Rao . A few moments from the day. 👇 #AI #Dataiku #AIgovernance #AIsuccess #KPMG