General Manager, Credit Economy

Dataiku is hiring a General Manager, Credit Economy for a remote role open to applicants in United States. Level rates it ; you can apply on Dataiku.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
This is listed as a remote role.
The posting mentions AI agents among its tools and skills.
Dataiku has 14 other open roles on Level.
Posted in the last few days.

AI in this role

ai-agents

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Dataiku is the enterprise AI platform used by 25% of the Fortune 500. Since June 2026, we have priced our new products on credits. The opportunity now is larger: expand credits across the platform, bring partners and a broader set of technologies onto them, and build a real credit economy that gives customers optionality and control over how they use and pay for AI.

How you’ll make an impact

You will be the single-threaded owner of this new business: one revenue number, one plan, and the mandate to get product, engineering, sales, finance, marketing, and partners working to that plan. AI economics are still to be invented, and you will write the playbook for it.

You will report to the CEO and co-founder and work with the CTO and co-founder. You will have no direct reports. Owners in Product, Engineering, Sales, Finance, and Marketing stay in their teams, are accountable to you for this business, and meet in one recurring forum you run to review pipeline, launches, and blockers and leave with decisions.

You own the strategy for this business: where to play first, how to package and price it, and how fast to grow it. You share responsibility for a number with the sales leadership.

In your first year, you will:

Make credits the favorite way customers commit to Dataiku.
Build the partner ecosystem around credits: business development with infrastructure and software vendors.
Align the company around credits: product strategy and roadmap with the CPO and CTO, so new capabilities are built, packaged, and metered for consumption; the credit story with the CMO; and sales incentives with the CRO.
Give customers and account teams usage reporting they act on.

What you’ll need to be successful

You have built an enterprise software business on consumption or usage-based pricing, including the billing, revenue recognition, and compensation it required.
You know how to build a plan to scale a business from zero to $100M, and you have carried the revenue number for one: a product line, a business unit, a new market, or a company you founded.
You get teams working toward one business goal, and you have results to show for it.
You build the financial model yourself and can explain the product to a CIO.
You decide fast on incomplete information, argue in the open (including with the CEO), and change your position when the data calls for it.
You work AI-native. You use models and agents in your own analysis and operations, and you know how AI is priced and bought: tokens, credits, committed spend.
You are US-based (or willing to relocate), and ready to travel to customers, partners, and Dataiku offices worldwide.

What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

How we rate this

General Manager, Credit Economy at Dataiku rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.