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San Francisco, California, United States
Onsite
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 with strong analytical instincts to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you’ll flex across the team’s highest-priority data and operational needs—from reporting and dashboard insights to budget and capacity planning, project-based analysis, and data automation —while partnering closely with Product, Policy, Engineering, Legal, Go To Market, and Data Science and Data Engineering teams.
This role sits at the intersection of strategy, execution, and data: you’ll define ambiguous problems, query and validate data, build decision-support systems, and translate operational signals into clear recommendations and scalable, AI-first solutions. You should be comfortable moving from a high-level question to a rigorous analysis, a useful dashboard, an automated workflow, or a durable operating mechanism.
As OpenAI introduces new revenue-generating formats and partnerships, you’ll help the team understand where risks, capacity constraints, quality gaps, and opportunities are emerging. You’ll bring structure to ambiguity and ensure Ads Trust & Safety decisions are grounded in reliable data while balancing user safety, advertiser experience, and business growth.
In this role, you will:
Own complex, high-impact Ads Trust & Safety data and operational problem areas from scoping through execution.
Improve recurring reporting and dashboards by defining meaningful metrics, surfacing trends and gaps, and translating insights into operational decisions.
Lead budget and capacity planning by connecting demand, review volumes, service levels, quality, and risk signals to staffing and operating plans.
Conduct project-based analyses across advertiser risk, enforcement performance, review quality, product launches, and operational health; turn findings into clear recommendations and next steps.
Partner closely with Data Science and Data Engineering teams to define goals, metric logic, data requirements, source-of-truth decisions, and QA data strategy.
Design and maintain practical data-quality and measurement mechanisms, including sampling, validation, discrepancy investigation, quality dashboards, and feedback loops.
Build and improve automations, AI-assisted workflows, and decision-support tools that reduce manual work and help Ads Trust & Safety and Ads Support scale.
Drive operational readiness for new Ads and monetization launches, features, and markets by sizing impact, identifying risks early, and defining monitoring plans.
Act as a senior cross-functional partner and subject-matter expert, communicating data-driven tradeoffs, priorities, and recommendations with strong judgment and credibility.
You might thrive in this role if you:
8+ years of experience in Trust & Safety, Business Integrity, technical operations, data analytics, or a closely related domain.
Strong SQL skills and comfort working with unfamiliar, complex datasets, reconciling source-of-truth questions, and resolving data-quality issues.
Experience building and owning dashboards, recurring reporting, monitoring, or operational measurement systems from scoping through adoption and maintenance.
Experience using data for budget, capacity, or workforce planning, including translating demand, quality, and service-level signals into practical operating plans.
Proven ability to independently own ambiguous, cross-functional initiatives and turn analysis into decisions, workflows, or scalable systems.
In-depth experience leveraging AI models or agent-based tooling in operational workflows, or other lightweight technical development where useful.
Excellent written and verbal communication skills, including the ability to explain complex analyses, data limitations, risk tradeoffs, and recommendations to diverse audiences.
Strong judgment around quality, safeguards, responsible deployment, and the appropriate use of data in high-stakes operational decisions.
Bonus: Familiarity with ads and advertiser ecosystems and the operational signals that shape review, enforcement, and support decisions.
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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