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About the Team
At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure high-integrity operations while delivering a great user experience at scale.
We’re building the Monetization Trust & Safety Operations team to ensure OpenAI can grow advertising in a way that is safe, trusted, and sustainable—for users, advertisers, and the business. This team sits at the intersection of operational scale, product risk, and rapid revenue growth, designing systems and operations that enable ads to scale without compromising user trust or safety. It’s critical to us that our Ads product be built in a way that corresponds to our Ads principles, and this team is key to that.
About the Role
We’re looking for a senior operator to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll own critical Ads T&S workstreams end-to-end, partnering closely with Product, Policy, Engineering, Legal, and Go To Market to design scalable enforcement processes, strengthen detection and tooling on novel risks, and ensure we’re ready to grow Ads and monetization safely while delivering a great experience for users and advertisers.
This role sits at the intersection of strategy and execution: you’ll define problems, design systems, and implement scalable, AI-first solutions from the ground up.
As OpenAI introduces new revenue-generating formats and partnerships, you’ll turn ambiguity into structured initiatives that balance user safety, advertiser experience, and business growth.
In this role, you will:
Own complex, high-impact Ads Trust & Safety problem areas from strategy through execution.
Design and scale operational workflows for Ads Trust & Safety, including enforcement models, review processes, escalation paths, and quality frameworks
Partner closely with Product, Policy, and Engineering to translate risk and policy requirements into scalable systems, tooling, and automation.
Improve the end-to-end enforcement and advertiser support funnel through frontline enablement, clearer escalation paths, and automation
Act as a key point of contact across internal teams and external partners, providing clear updates on risk, enforcement, and product feedback
Drive operational readiness for new Ads and monetization launches, features, and markets, identifying risks early and ensuring appropriate mitigations are in place.
Use data to identify trends, gaps, and emerging risks across Ads surfaces; develop proposals and solutions grounded in metrics and operational signals.
Contribute to the evolution of Ads Trust & Safety cross-functional strategy, including how safety scales with automation, classifiers, and self-service tooling.
Act as a senior XFN partner and subject-matter expert, influencing direction through strong judgment, clear communication, and credibility.
You might thrive in this role if you:
8+ years of experience in Monetization or Ads policy Operations, Trust & Safety, Business Integrity, Risk Operations, or a closely related domain.
Deep familiarity with ads ecosystems and advertiser risk
In-depth experience leveraging AI models or agent-based tooling in operational and support workflows
Proven ability to independently own ambiguous, cross-functional initiatives and drive them to completion.
Strong operational judgment and systems thinking—able to design solutions that scale beyond manual review.
Experience working closely with Product, Policy, Engineering, Sales and Legal teams on enforcement systems, tooling, or automation.
Comfort using data and operational metrics to inform decisions, prioritize work, and measure impact.
Excellent written and verbal communication skills, including the ability to explain complex risk tradeoffs as well as policy to diverse audiences.
Can translate ambiguous risk signals into structured inputs for detection systems, including taxonomy design, labeling guidance, quality standards, and feedback loops
Strong judgment around quality, safeguards, and responsible deployment
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 OpenAI’s 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 information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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