Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Communication @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI's Trust & Safety Operations team protects the platform, customers, and the public from abuse. The Monetization Trust & Safety Operations team focuses on enabling advertising to scale safely and sustainably for users, advertisers, and the business. The team works at the intersection of operational scale, product risk, and revenue growth, designing systems and processes that support safe Ads operations.
The role involves owning critical Ads Trust & Safety workstreams, partnering with Product, Policy, Engineering, Legal, and Go To Market teams to design scalable enforcement processes, improve detection and tooling for novel risks, and prepare OpenAI to grow Ads and monetization safely. The position combines strategy and execution, including defining problems, designing systems, and implementing scalable, AI-first solutions.
Responsibilities
- Own complex, high-impact Ads Trust & Safety problem areas from strategy through execution.
- Design and scale operational workflows, including enforcement models, review processes, escalation paths, and quality frameworks.
- Partner 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 for internal teams and external partners, providing updates on risk, enforcement, and product feedback.
- Drive operational readiness for new Ads and monetization launches, features, and markets by identifying risks and ensuring mitigations are in place.
- Use data and operational metrics to identify trends, gaps, and emerging risks across Ads surfaces and develop grounded proposals and solutions.
- Contribute to the Ads Trust & Safety cross-functional strategy, including the use of automation, classifiers, and self-service tooling.
- Serve as a senior cross-functional partner and subject-matter expert, influencing direction through sound judgment, clear communication, and credibility.
Requirements
- 8+ years of experience in Monetization or Ads Policy Operations, Trust & Safety, Business Integrity, Risk Operations, or a closely related domain.
- Deep familiarity with advertising 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, with the ability 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 and policy to diverse audiences.
- Ability to 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. The company develops and safely deploys AI systems through its products.
OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered in accordance with applicable law. Additional applicant privacy and equal employment opportunity policies apply.
Benefits
- Base pay range of $252,000–$280,000 per year.
- Equity, performance-related bonuses for eligible employees, and benefits.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional taxable fringe benefits may be provided, including charitable donation matching and wellness stipends.