Founding Data Scientist, Pricing & Monetization

Details

OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. They define how OpenAI packages, prices, and scales access to products across consumer, SMB, and enterprise customers. This founding role will be the first dedicated data science hire on the Pricing team and will build the analytical foundation for pricing, shape executive decisions, and define pricing data science at OpenAI.

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 and help define the roadmap, standards, and operating model for the team.

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.
• Deep experience using causal inference and other statistical techniques to solve pricing, monetization, packaging, or business strategy problems.
• Experience working on pricing, monetization, marketplace dynamics, usage-based pricing, dynamic pricing, packaging, or other high-complexity business problems.
• Ability to operate independently in ambiguous, zero-to-one environments and define analytical direction from scratch.
• Strong written and verbal communication skills, including the ability to influence executive-level audiences and cross-functional teams.

Preferred Qualifications

• 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 is also a strong fit.
• Experience helping establish a new data science function, operating model, technical roadmap, or executive decision cadence.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents); paid medical and caregiver leave (up to 8 weeks).
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and multiple coordinated company office closures, plus paid sick/safe time where applicable.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits (charitable donation matching, wellness stipends) where provided.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diverse perspectives, and inclusion. Background checks will be administered in accordance with applicable law. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.