OpenAI

Marketing Scientist

OpenAI$150K — $180K *
Business Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of deep expertise in advertising measurement and methodologies
  • Hands-on experience with large datasets using SQL, Python, or R
  • Proven ability to serve as a trusted client advisor in complex measurements
  • Experience designing and operating incrementality programs with statistical rigor
  • Familiarity with third-party measurement providers and data integrations
  • Collaborative experience with Product, Engineering, and Data Science teams
  • Strong communication skills in translating complex concepts for varied audiences
  • Ability to thrive in fast-paced, ambiguous environments

Responsibilities

  • Partner with Sales and clients to improve media performance and interpret results
  • Apply rigorous measurement approaches across various methodologies
  • Develop programs and guidance for effective measurement practices
  • Create actionable insights from campaign and audience data
  • Conduct analyses to identify opportunities in auction performance
  • Communicate complex concepts clearly while maintaining privacy and quality standards

Benefits

  • Hybrid work schedule (Monday-Wednesday) in San Francisco or New York
Full Job Description
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, 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 artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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