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Marketing Scientist

OpenAI · San Francisco · New York City

CHECKED 1H AGO

Frontier labremotesenior$234k–$260k
Apply on the lab’s site ↗

At a glance

Highlights

  • Help prove and improve advertiser media performance for OpenAI Ads.
  • Build scalable incrementality programs and privacy-forward measurement workflows.
  • Turn campaign and auction data into actionable performance recommendations.

What they offer

  • Equity

Ideal candidate

A trusted client advisor with deep advertising measurement expertise who thrives in ambiguity. You care about rigorous, privacy-forward measurement and translating complex results into decisions advertisers act on.

Requirements

  • 10+ years expertise in advertising measurement including incrementality and MMM
  • Hands-on analysis of large datasets using SQL and Python or R
  • Trusted advisor for advertisers and agencies on measurement and executive conversations
  • Experience designing lift and incrementality programs including power analysis and governance
  • Experience with third-party measurement providers and data integrations
  • Partnership with Product, Engineering, and Data Science to scale measurement tools
  • Ability to translate complex statistics for technical and non-technical audiences
remote policy
Hybrid, onsite Monday-Wednesday

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗