Marketing Scientist

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $198K - $220K per year, with generous equity, performance-related bonuses, and the following 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), plus 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 paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

About the Team

OpenAI's mission is to ensure the responsible and widespread adoption of artificial intelligence. The Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI's products and platform.

About the Role

We're looking for a Marketing Scientist to join OpenAI's Ads Marketing Science function. As a senior individual contributor, you will combine rigorous measurement expertise with strong client judgment and hands-on execution. Your mission is to help OpenAI Ads prove and improve advertisers' media performance. You will work with sales, partners, and clients supporting all forms of measurement, including verification, attribution, incrementality, brand, visitation, marketing mix modeling (MMM), and scalable advertiser reporting.

Responsibilities

• Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.
• Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.
• Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.
• Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser needs into durable measurement capabilities.
• Work effectively with measurement partners and industry stakeholders to support advertiser adoption and strengthen trust in OpenAI Ads.
• Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation.

Requirements

• Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as MMM.
• Be a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows.
• Be a trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment.
• Have designed or operated lift and incrementality programs, including experiment design, power analysis, governance, diagnostics, and statistical quality standards.
• Bring experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements.
• Have partnered effectively with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities.
• Can translate complex statistical concepts into practical decisions for both technical and non-technical audiences.
• Thrive in fast-paced, high-ambiguity environments and can influence across teams without relying on formal authority.
• Care deeply about privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance.