Dataiku develops a collaborative data science software platform that empowers teams to explore, prototype, build, and deliver data products, facilitating the transformation of business data into impactful insights through Everyday AI.
Enter your details and select criteria for the jobs you want to receive.
Dataiku is hiring a Financial Systems team member to own and optimize finance systems operations, centered on NetSuite and expanding across Coupa, Navan, and AI-enabled workflows.
Dataiku is hiring a Strategic Customer Success Manager to manage a portfolio of large enterprise accounts and drive customer adoption, expansion, and retention across assigned territory.
Dataiku is hiring a Strategic Account Executive to lead major banking and insurance accounts within its Financial Services team, managing complex enterprise sales to drive customer value and revenue growth.
Dataiku is seeking a Senior Sales Engineer with a data science background to support enterprise AI sales opportunities by translating customer needs into demonstrations, proofs of concept, and technical guidance.
Dataiku is hiring an Engineering Manager to lead a new Cloud Engineering squad focused on delivering and operating the company’s fully managed platform for creating, configuring, and monitoring customer Dataiku instances at scale.
Dataiku is hiring a Director of Product Marketing to own platform-level messaging, lead flagship launches, and shape the company’s narrative for enterprise AI success.
Dataiku is seeking a Global Senior Revenue Accountant to support revenue recognition, controls, and month-end close across its global finance operations.
Dataiku is hiring a Senior Sales Engineer to support its Central Europe team in translating data science and AI solutions into customer business value through pre-sales and proof-of-concept work.
Dataiku is seeking a Senior Sales Engineer for its Central Europe team to support enterprise AI sales by translating customer business needs into Dataiku-driven technical solutions and proofs of value.
Dataiku is seeking a Senior Customer Success Engineer to help enterprise customers adopt and expand use of its AI and analytics platform through technical guidance, enablement, and cross-functional collaboration.
Dataiku is hiring a Senior Customer Success Manager to manage enterprise customer relationships across KSA and drive adoption, retention, growth, and measurable business outcomes for its AI platform.
Dataiku is hiring an Enterprise Account Executive to own the full sales cycle for enterprise customers across multiple industries and help drive adoption of its AI and analytics platform.
Dataiku is hiring a 6-month full-time intern to support customer-facing AI enablement programs and reusable learning assets within its enterprise AI platform organization.
Dataiku is seeking a Partner Sales Manager Intern to support partner operations, communications, and onboarding across its enterprise AI partnerships ecosystem.
Dataiku is hiring an Enterprise Account Executive to own a territory, manage the full sales cycle, and help enterprise customers across industries adopt its AI and analytics platform.
Dataiku is seeking a Senior Generative AI Engineer on its ED&A team to build internal agentic AI systems that turn business problems into production-ready software across the company.
Dataiku is hiring a Solutions Consultant focused on Retail and CPG to support the development and go-to-market of supply chain AI solutions across the company’s business solutions team.
Dataiku is hiring a Data Engineer I for its Enterprise Data and Analytics team to support the company’s internal data platform, analytics, and governance work across Snowflake, Dataiku, and GitHub.
Dataiku is hiring a Data Engineer II to support its Enterprise Data and Analytics team by building and operating the internal data platform that powers analytics, AI, and self-service data use across the company.
Dataiku is hiring a Senior Data Scientist to work with customers on designing, deploying, and governing AI and analytics solutions while also supporting pre-sales, training, and platform adoption.
