Founding Data Scientist, Pricing & Monetization

OpenAISan Francisco, CA
$340,000 - $380,000

About The Position

OpenAI’s Pricing team is central to product, go-to-market, finance, and strategy. They define how OpenAI packages, prices, and scales access to its products across consumer, SMB, and enterprise customers, translating technical product usage and market signals into company-level decisions. This role is for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. It's a zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. The Data Scientist will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define excellent pricing data science. As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. 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.

Requirements

  • 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.
  • 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.

Nice To Haves

  • Deep experience using causal inference and other statistical techniques to solve pricing, monetization, packaging, or business strategy problems.
  • Energized by ambiguous, zero-to-one work with senior leadership visibility and a chance to write the playbook.
  • Can move fluidly between hands-on analysis, model-building, experimentation, and strategic decision support.
  • Have built or influenced sophisticated pricing systems in complex, high-scale environments.
  • Excited by a founding role where your work can shape company-level strategy and the future of pricing at OpenAI.
  • Prior pricing experience across consumer, SMB, enterprise, marketplace, platform, or AI/API businesses.
  • Experience building novel pricing models, systems, experimentation programs, or decision frameworks.
  • PhD preferred; 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.

Responsibilities

  • Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions.
  • 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.
  • Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-to-pay questions.
  • Translate technical work into crisp executive recommendations and practical operating guidance for cross-functional teams.
  • Identify where a dedicated pricing data science function can create repeatable leverage, helping define the roadmap, standards, and future operating model for the team.

Benefits

  • We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
  • Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.
  • We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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