OpenAI

1 week ago

Founding Data Scientist, Pricing & Monetization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build the analytical foundation for OpenAI’s pricing strategy as the first dedicated data science hire on the Pricing team. Design analyses, models, experiments, and decision frameworks that connect customer behavior, product usage, conversion, retention, and revenue outcomes to packaging, discounting, and willingness-to-pay decisions. Partner closely with the CFO, Head of Pricing, and GTM/product leaders, translating complex technical work into executive-ready recommendations and operating guidance.

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 connecting customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy.
•Develop models, algorithms, experiments, and decision frameworks for pricing, packaging, discounting, and willingness-to-pay.
•Translate technical work into executive recommendations and practical operating guidance; help define the team’s roadmap and standards.

Pay and Benefits

Salary: USD 340,000 - 380,000 annually

Equity and Bonus:Equity

Key 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 frame tradeoffs for senior stakeholders.
•Strong written and verbal communication skills for influencing executive-level and cross-functional teams.

Experience:PricingMonetizationMarketplace dynamicsUsage-based pricingDynamic pricing

Education:PhD / Doctorate

Skills:Executive communicationIndependent problem-solvingStrategic storytellingCross-functional communication

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

OpenAI

1 week ago

Founding Data Scientist, Pricing & Monetization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 connecting customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy.
•Develop models, algorithms, experiments, and decision frameworks for pricing, packaging, discounting, and willingness-to-pay.
•Translate technical work into executive recommendations and practical operating guidance; help define the team’s roadmap and standards.

Pay and Benefits

Salary: USD 340,000 - 380,000 annually

Equity and Bonus:Equity

Key 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 frame tradeoffs for senior stakeholders.
•Strong written and verbal communication skills for influencing executive-level and cross-functional teams.

Experience:PricingMonetizationMarketplace dynamicsUsage-based pricingDynamic pricing

Education:PhD / Doctorate

Skills:Executive communicationIndependent problem-solvingStrategic storytellingCross-functional communication

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor