OpenAI

Founding Data Scientist, Pricing & Monetization

San Francisco · Contract

Sponsorship not specifiedDetected 6 days ago

AlgorithmsMachine LearningData ScienceStatisticsA/B TestingResearchLeadershipCommunication

About the role

This role combines hands-on technical depth with executive-ready storytelling.
Translate technical work into crisp executive recommendations and practical operating guidance for cross-functional teams.
Have deep experience using casual inference and other statistical techniques to solve pricing, monetization, packaging, or business strategy problems.

Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems.
Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy.
Can move fluidly between hands-on analysis, model-building, experimentation, and strategic decision support.
You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like.

Experience working on pricing, monetization, marketplace dynamics, usage-based pricing, dynamic pricing, packaging, or adjacent high-complexity business problems.
Ability to operate independently in ambiguous environments, define analytical direction from scratch, and bring senior stakeholders along through clear tradeoff framing.
Strong written and verbal communication skills, including the ability to influence executive-level audiences and cross-functional operating teams.
Significant experience in data science, analytics, economics, statistics, machine learning, or a related quantitative field.
Strong technical ability in analysis, modeling, experimentation, causal inference, and data-driven decision-making.

Prior pricing experience across consumer, SMB, enterprise, marketplace, platform, or AI/API businesses.
a master's degree or equivalent practical experience can also be a strong fit.
Experience helping establish a new data science function, operating model, technical roadmap, or executive decision cadence.
We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment
In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA.

OpenAI's Pricing team sits at the center of product, go-to-market, finance, and strategy.
We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions.
We're looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team.
This is a rare zero-to-one role with direct exposure to OpenAI's CFO, Head of Pricing, and senior leaders across Product and GTM.
Are excited by a founding role where your work can shape company-level strategy and the future of pricing at OpenAI.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared.
You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world.

This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.