Advertising Marketing Science Lead

OpenAI • San Francisco, CA

2d

About The Position

We’re looking for an Advertising Marketing Science leader to establish and scale OpenAI’s advertiser-facing reporting, measurement, and attribution credibility. You’ll combine deep measurement expertise with strong judgment and cross-functional leadership to define how advertisers understand performance on OpenAI and how our reporting aligns with their existing measurement frameworks (MTA, incrementality/lift testing, MMM/geo experimentation). This role will start as a hands-on individual contributor responsible for building the methodological foundations of OpenAI’s advertising measurement system. Over time, you will define the strategy, operating model, and team needed to scale this function globally as advertiser adoption grows. This role is ideal for someone who enjoys building new capabilities from first principles, can translate complex causal measurement approaches into trusted industry narratives, and is energized by partnering across Product, Engineering, Sales, Partnerships and Legal to build a privacy-first measurement ecosystem. In this role, you will:
Define OpenAI’s advertiser measurement strategy , establishing how our reporting aligns with attribution (MTA), incrementality/lift testing, MMM, geo experimentation, and partner measurement frameworks. Build the foundation of OpenAI’s Marketing Science function , initially leading work as an individual contributor while designing the long-term team structure, operating model, and measurement programs. Lead advertiser-facing measurement discussions , representing OpenAI in executive briefings, measurement escalations, and industry conversations while building trust in our methodologies and reporting. Develop clear advertiser narratives that translate causal inference, attribution models, and statistical methodologies into understandable guidance for campaign optimization and investment decisions. Design and govern OpenAI’s advertising measurement program , including standardized experiment patterns (A/B, geo, quasi-experimental), power calculators, diagnostics, and experiment-quality guardrails. Build scalable measurement frameworks that reconcile results across MMM, MTA, and lift testing, helping advertisers triangulate OpenAI performance within their broader marketing measurement systems. Establish privacy-centric measurement approaches as needed , including aggregated measurement, and conversion modeling in partnership with Legal and Privacy teams. Translate measurement strategy into product capabilities , partnering with Product and Engineering to operationalize methodologies into durable measurement tools and reporting infrastructure. Shape OpenAI’s external measurement ecosystem , working with third-party measurement partners, clean-room providers, and industry groups to align standards and reduce friction for advertisers.

Requirements

• Have deep expertise in advertising measurement including experimentation, incrementality testing, attribution modeling, and econometric approaches such as MMM.
• Have experience designing and scaling lift or incrementality programs , including governance, experimentation frameworks, and statistical quality standards.
• Are comfortable acting as a senior external measurement authority , confidently leading advertiser conversations, navigating discrepancies, and building trust with sophisticated marketing organizations.
• Can translate complex statistical concepts into practical decision frameworks for both technical and non-technical audiences.
• Can build functions from the ground up , setting strategy while also executing hands-on during early stages of team development.
• Have successfully partnered with Product and Engineering teams to translate measurement science into scalable product capabilities .
• Have experience working with third-party measurement providers or industry standards organizations .
• Thrive in fast-paced, high-ambiguity environments and are comfortable leading cross-company initiatives without direct authority.
• Care deeply about building trusted, privacy-forward measurement systems that enable long-term advertiser confidence.

Responsibilities

• Define OpenAI’s advertiser measurement strategy , establishing how our reporting aligns with attribution (MTA), incrementality/lift testing, MMM, geo experimentation, and partner measurement frameworks.
• Build the foundation of OpenAI’s Marketing Science function , initially leading work as an individual contributor while designing the long-term team structure, operating model, and measurement programs.
• Lead advertiser-facing measurement discussions , representing OpenAI in executive briefings, measurement escalations, and industry conversations while building trust in our methodologies and reporting.
• Develop clear advertiser narratives that translate causal inference, attribution models, and statistical methodologies into understandable guidance for campaign optimization and investment decisions.
• Design and govern OpenAI’s advertising measurement program , including standardized experiment patterns (A/B, geo, quasi-experimental), power calculators, diagnostics, and experiment-quality guardrails.
• Build scalable measurement frameworks that reconcile results across MMM, MTA, and lift testing, helping advertisers triangulate OpenAI performance within their broader marketing measurement systems.
• Establish privacy-centric measurement approaches as needed , including aggregated measurement, and conversion modeling in partnership with Legal and Privacy teams.
• Translate measurement strategy into product capabilities , partnering with Product and Engineering to operationalize methodologies into durable measurement tools and reporting infrastructure.
• Shape OpenAI’s external measurement ecosystem , working with third-party measurement partners, clean-room providers, and industry groups to align standards and reduce friction for advertisers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed