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Dataiku

Enterprise AI platform for data science

General Manager - Credit Economy

Business & StrategyUpdated on Nov 11
Full-timeNo salary listed

About the Job

Requirements

  • Experience building an enterprise software business with consumption- or usage-based pricing, including the required billing, revenue recognition, and compensation models.
  • Ability to create a plan to scale a business from zero to $100 million and prior responsibility for its revenue, such as for a product line, business unit, new market, or founded company.
  • Demonstrated ability to align teams around a business goal and deliver results.
  • Ability to build financial models and explain the product to a chief information officer.
  • Ability to make decisions quickly with incomplete information, debate openly, and revise positions based on data.
  • Ability to work with AI in personal analysis and operations and knowledge of AI purchasing and pricing models, including tokens, credits, and committed spend.
  • Must be based in the United States or willing to relocate.

Responsibilities

  • Own the new credit-economy business, including its revenue target and operating plan, and align product, engineering, sales, finance, marketing, and partners around that plan.
  • Run a recurring cross-functional forum to review pipeline, launches, and blockers and make decisions.
  • Set the business strategy, including where to focus first, packaging and pricing, and growth pace; share responsibility for a revenue target with sales leadership.
  • Drive adoption of credits as customers’ preferred way to commit to Dataiku.
  • Build the partner ecosystem for credits through business development with infrastructure and software vendors.
  • Align product strategy and roadmap with the chief product officer and chief technology officer so capabilities are built, packaged, and metered for consumption; coordinate the credit story with the chief marketing officer and sales incentives with the chief revenue officer.
  • Provide customers and account teams with actionable usage reporting.
  • Travel to customers, partners, and Dataiku offices worldwide.

About the Company

Dataiku

Enterprise AI platform for data science

Dataiku provides an end-to-end platform for building and deploying AI and analytics applications across an organization. It supports no-code, low-code, and full-code workflows to let business analysts, data scientists, and IT collaborate on data preparation, model development, deployment, and governance. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data infrastructures, and legacy systems, and includes features like the Dataiku LLM Mesh, a secure gateway to large language models. Dataiku differentiates itself by offering a technologically agnostic environment that emphasizes everyday AI use, cross-team collaboration, and an enterprise-grade lifecycle from data prep to deployment and monitoring. Its goal is to help organizations turn data into sustained, scalable value—enabling widespread AI adoption, improving processes such as fraud detection, churn prevention, and supply chain optimization across hundreds of companies worldwide.

Company size
1,001-5,000
Company stage
Series F
Total funding
$846.4M
Headquarters
New York City, New York
Founded
2013

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