Enterprise orchestration platform for AI deployment and governance
Dataiku operates an enterprise AI platform positioned between data infrastructure and AI services, connecting multi-vendor environments under centralized governance. The hiring mix is heavily sales-skewed (31 roles) relative to engineering (17), paired with pain points around conversion rates, deal velocity, and churn — a profile consistent with a platform vendor scaling go-to-market while managing customer retention. The tech stack spans Python, Spark, Kubernetes, and cloud providers (AWS, Azure, GCP), with deep ML libraries (TensorFlow, PyTorch, scikit-learn), indicating both breadth of integration and maturity in handling complex, regulated deployments.
Notable leadership hires: Strategic Alliances Director
Dataiku is an enterprise AI orchestration platform that unifies design, deployment, and governance of AI, analytics, and machine learning in a single interface. The product sits above data platforms and cloud infrastructure, enabling teams to build and operate AI agents and applications across regulated industries and multi-cloud environments. Founded in 2013 and headquartered in New York with 1,001–5,000 employees, the company operates globally with hiring across 14 countries including the US, France, Germany, UK, and Singapore. Active work spans customer proof-of-concepts, production data science projects, AI-driven application development, and solutions targeting manufacturing and supply chain workflows, alongside scaling operational functions including legal compliance, IT support, and HR training.
Dataiku's stack includes Python, Apache Spark, Kubernetes, TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, Azure, GCP). Testing and CI/CD rely on Pytest, Selenium, Jenkins, and GitHub. Frontend uses Angular, React, and Vue.
Dataiku recruits across 14 countries: United States, France, Germany, Netherlands, United Kingdom, Japan, Singapore, United Arab Emirates, Denmark, Peru, South Korea, Saudi Arabia, Belgium, and Israel.
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