Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $189K – $210K, plus generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits include:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the Team
The Trust & Safety Operations team is central to protecting OpenAI's platform, customers, and the public from abuse. The Monetization Trust & Safety Operations team ensures OpenAI can grow advertising in a way that is safe, trusted, and sustainable,for users, advertisers, and the business.
About the Role
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 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.
Responsibilities
- Own complex, high-impact Ads Trust & Safety workflows and drive execution across cross-functional partners.
- Design and scale systems for Ads Trust & Safety, including enforcement models, escalation paths, quality frameworks and customer support
- Partner closely 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
- 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.
- Identify opportunities to improve workflows, tooling, and operational efficiency as Ads Trust & Safety programs scale.
- Act as a senior XFN partner and subject-matter expert, influencing direction through strong 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,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 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 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