O
Not Specified Permanent

San Francisco, California · USA job

Marketing Scientist

OpenAI

San Francisco, California

Job description

Overview

In this Marketing Scientist role, you apply rigorous measurement to prove and improve advertisers' media performance within OpenAI Ads. You will partner with Sales, Product, Engineering, and Data Science to design scalable measurement programs and translate results into actionable guidance. You'll lead advanced measurement methods, including attribution and incrementality, and help onboard privacy-forward workflows with measurement partners. The role combines technical rigor with client-facing advisory work to drive trusted, data-driven advertising outcomes.

Compensation / Benefits
  • Medical, dental, and vision insurance for you and your family
  • 401(k) with employer match
  • Paid parental leave and caregiver leave
  • Flexible PTO and holidays
  • Learning and development stipend
  • Relocation support
Responsibilities
  • Partner with Sales, advertisers, and agencies to shape learning agendas and translate results into performance improvements
  • Apply measurement approaches across attribution, incrementality, MMM, and related methodologies
  • Develop scalable measurement programs and guidance to improve decision-making and adoption of rigorous practices
  • Shape advertiser-facing insights that convert campaign data into actionable recommendations
  • Conduct auction optimization analyses to identify opportunities to improve advertiser outcomes
  • Communicate complex concepts clearly while upholding privacy, quality, and transparency
Key requirements
  • 10+ years of deep expertise in advertising measurement (experimentation, incrementality testing, attribution, MMM, etc.)
  • Hands-on experience with large datasets using SQL, Python or R
  • Trusted client advisor capable of navigating advertiser questions and executive conversations
  • Designed or operated lift and incrementality programs with rigorous design, governance, and quality standards
  • Experience with third-party measurement providers, partner onboarding, APIs or data integrations
  • Collaboration with Product, Engineering, and Data Science to build scalable tools and reporting
  • Ability to translate complex statistics for technical and non-technical audiences
  • Thrives in fast-paced, high-ambiguity environments and can influence across teams
  • Commitment to privacy-forward, trustworthy measurement for advertisers
  • client advisory and relationship-building
  • cross-functional collaboration
  • clear and concise communication
  • SQL
  • Python or R
  • Experiment design and power analysis

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