Marketing Scientist

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, 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. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role We’re looking for a Marketing Scientist to join OpenAI’s Ads Marketing Science function. Reporting to Marketing Science leadership, you’ll be a senior individual contributor who combines 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’ll 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, connecting sound methodology to decisions advertisers can act on. This New York or San Francisco based role will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to OpenAI’s data interfaces, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. In this role you will: - 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. You will thrive in this role if you: - Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as MMM. - Are a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows, without sacrificing rigor or judgment. - Are 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. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 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. For additional informat

Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as marketing mix modeling (MMM). Hands-on with large datasets using SQL, Python or R, and AI-enabled analytical workflows. Trusted advisor capable of navigating advertiser questions and executive conversations. Experience designing or operating lift and incrementality programs (experiment design, power analysis, governance, diagnostics, statistical quality standards). Experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements. Partnered with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities. Ability to translate complex statistical concepts for technical and non-technical audiences. Comfort working in fast-paced, high-ambiguity environments and influencing across teams without formal authority. Commitment to privacy-forward, trustworthy measurement that helps advertisers improve media performance.