Jobs / United States / OpenAI UK Ltd
Marketing Scientist
OpenAI UK Ltd · 🇺🇸 San Francisco; New York City
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- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
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Sponsor Radar — OpenAI UK Ltd
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About the role
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, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on. You 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 privacy-forward measurement workflows and integrations, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale. This role is based in either San Francisco or New York, and follows a hybrid schedule (Monday-Wednesday). 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. - Shape advertiser-facing insights experiences that translate campaign and audience data into actionable performance recommendations. - Conduct auction optimization analyses to identify delivery, pricing, and performance opportunities that improve advertiser outcomes. - Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation. You might 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, Engine