Software Engineer, Ads Conversion Measurement

About the Team

The Monetization team is a cross-functional group working across engineering product research and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first privacy-preserving monetization products including next-generation ads experiences that strengthen user trust unlock economic opportunity and support OpenAIs long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value uphold rigorous privacy and safety standards and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping experimentation and iterative deployment. We partner closely with Product Design and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

Were looking for an experienced Software Engineer to build measurement systems that connect ad interactions to meaningful advertiser outcomes while protecting user this foundational role youll design infrastructure for conversion signals attribution reporting and feedback loops across OpenAIs ads products.

This role is ideal for engineers who have built large-scale ads measurement data experimentation marketplace or distributed systems and want to apply that experience in a highly ambiguous 01 environment. Youll work across event collection and normalization deduplication and matching attribution and modeled measurement privacy-safe aggregation reporting and high-quality labels for ads optimization.

We are hiring engineers who can independently own complex systems make sound technical tradeoffs and help define what should be built. Youll work closely with Ads Delivery Ads ML Product Research Privacy Data Science Design and advertiser-facing teams to create trustworthy measurement from first principles.

This role is based in San Francisco or Seattle. We offer relocation assistance to new employees.

In this role you will

• Design and build reliable conversion-event collection and processing systems across pixels SDKs server-side APIs app events offline uploads and advertiser integrations.

• Build attribution and measurement infrastructure for observed and modeled conversions attribution windows deduplication delayed events and signal-loss mitigation.

• Develop privacy-preserving identity matching aggregation and reporting systems that provide useful measurement under strict privacy constraints.

• Create data-quality systems that detect missing duplicated malformed out-of-order fraudulent or misconfigured conversion signals.

• Build scalable advertiser reporting and diagnostics for conversions cost per action return on ad spend funnel performance and measurement health.

• Partner with Ads ML to deliver trustworthy conversion labels and feedback loops for ranking bidding targeting and budget optimization.

• Develop experimentation and incrementally capabilities including holdouts lift studies and causal measurement foundations.

• Define the technical strategy and roadmap for conversion measurement across OpenAIs ads delivery stack.

• Operate systems with high engineering rigor through testing observability privacy reviews incident response and operational best practices.

You might thrive in this role if you

• Have 10 years experience building and operating large-scale distributed data or backend systems ideally in ads measurement attribution analytics marketplaces experimentation or adjacent domains.

• Understand conversion-event pipelines attribution deduplication identity and matching reporting or downstream optimization signals.

• Have experience designing privacy-safe measurement systems including aggregation consent handling modeled conversions clean-room patterns or privacy-preserving APIs.

• Can reason about data correctness delayed and out-of-order events schema evolution reconciliation and internal-versus-external metric discrepancies.

• Have built high-throughput batch or streaming systems and can make sound tradeoffs across latency reliability cost and maintainability.

• Are comfortable partnering with ML and data science teams on labels model inputs experimentation and causal measurement.

• Think holistically across architecture product semantics data quality observability privacy and advertiser trust.

• Can define technical direction in an ambiguous 01 environment and independently drive complex work across teams.

• Communicate clearly and make technical decisions grounded in user value system health measurement credibility and long-term product direction.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI systems and seek to safely deploy them to the world through our products.

AI is an extremely powerful tool that must be created with safety and human needs at its core. To achieve our mission we value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or any other applicable legally protected characteristic.

At OpenAI we believe artificial intelligence can help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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We are committed to providing reasonable accommodations to applicants with disabilities and requests can be made via this link.

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At OpenAI we believe artificial intelligence has the potential to help people solve immense global challenges and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Required Experience:

IC