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 @ 3
Communication @ 5
Customer Support
- 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 its platform, customers, and the public from abuse. The Monetization Trust & Safety Operations team supports the safe, trusted, and sustainable growth of advertising by operating at the intersection of operational scale, product risk, and revenue growth.
The role owns critical Ads Trust & Safety workstreams, partnering with Product, Policy, Engineering, Legal, and Go To Market teams to design scalable processes, improve detection and tooling for novel risks, and support the safe launch of new advertising and monetization formats, features, partnerships, and markets.
Responsibilities
- Own complex, high-impact Ads Trust & Safety workflows and drive execution across cross-functional partners.
- Design and scale Ads Trust & Safety systems, including enforcement models, escalation paths, quality frameworks, and customer support.
- Partner with Product, Policy, and Engineering to implement operational processes, tooling improvements, and automation that support policy enforcement.
- Improve the end-to-end enforcement and advertiser support funnel through frontline enablement, clearer escalation paths, and automation.
- Serve 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 early and ensuring appropriate mitigations are in place.
- Use data to identify trends, gaps, and emerging risks across Ads surfaces, and develop metric- and signal-based proposals and solutions.
- Identify opportunities to improve workflows, tooling, and operational efficiency as Ads Trust & Safety programs scale.
- Act as a senior cross-functional partner and subject-matter expert, influencing direction through sound judgment, clear communication, and credibility.
Requirements
- 5–8 years of experience in Monetization or Ads Policy Operations, Trust & Safety, Business Integrity, Risk Operations, or a closely related domain.
- In-depth experience leveraging AI models or agent-based tooling in operational and support workflows.
- Proven ability to manage multiple cross-functional workstreams and drive projects to completion in fast-paced environments.
- 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 querying and using data 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 AI systems and seeks to deploy them safely through its products.
OpenAI is an equal opportunity employer and does 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 characteristics. Background checks are administered in accordance with applicable law. Reasonable accommodations are available to applicants with disabilities.
Benefits
- Base salary range of $189,000–$210,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for health and dependent care expenses, as well as commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, paid office closures, and paid sick or safe time as required by applicable law.
- 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 include charitable donation matching and wellness stipends.