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Dataiku Tech Stack

Enterprise orchestration platform for AI deployment and governance

Software Development New York, NY 1,001–5,000 employees Founded 2013 Privately Held

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.

Tech Stack 76 technologies

What Dataiku Is Building

Challenges

  • Reducing churn risk
  • Improving conversion rates
  • Complex multi-jurisdictional employment issues
  • Compliance with gdpr
  • Scaling it support
  • Scalable adoption of ai platform
  • Growing sales pipeline
  • Accelerating deal velocity
  • Scaling employment law function
  • Customer churn risk

Active Projects

  • Process improvements to scale employment law function
  • Dataiku demonstrations
  • Develop custom python-based plugins
  • Proof-of-concepts (poc) for prospective customers
  • Guidance on data science project implementation
  • Production-level data science projects
  • Solutions roadmap for manufacturing and supply chain
  • Product launches
  • Ai-driven application development
  • Training programs for hr and business leaders

Hiring Activity

Accelerating90 roles · 40 in 30d

Department

Sales
31
Engineering
17
Support
9
Data
8
Marketing
6
Legal
4
Product
4
Finance
2

Seniority

Senior
51
Mid
14
Director
6
Manager
6
Intern
4
VP
4
Junior
3

Notable leadership hires: Strategic Alliances Director

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About Dataiku

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.

HeadquartersNew York, NY
Company Size1,001–5,000 employees
Founded2013
Hiring MarketsFrance, Germany, Netherlands, United Kingdom, Japan, Singapore, United States, United Arab Emirates

Frequently Asked Questions

What technology stack does Dataiku use?

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.

Where does Dataiku hire?

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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