高级运营分析师，用户安全与风险运营
Senior Operations Analyst, User Safety & Risk Operations
关于团队
在OpenAI，用户安全与风险运营（USRO）团队帮助保护我们的产品和用户免受滥用、欺诈、安全风险和其他形式的误用。我们将现实世界中的用户和运营信号转化为及时的决策、实际的干预措施以及对我们产品和系统的改进。
此职位将处理新的、模糊的或尚未完善的运营风险，并帮助将其发展为可扩展的能力。我们与USRO团队合作，并与产品、工程、数据科学、产品政策、法律、安全、支持以及外部供应商或合作伙伴利益相关者紧密协作。
关于该职位
我们正在寻找一位高级运营分析师，负责处理复杂且模糊的安全和风险问题，并将其转化为可扩展的实际运营解决方案。这是一项高级个人贡献者职位，适合一位能够灵活在不同任务之间切换、进行调查、分析、设计工作流程、亲自执行以及跨职能领导的运营人员。根据团队需求，该职位可能专注于新兴风险孵化、云部署合作或其他新的运营领域。
你将被期望快速行动、亲自参与并创建结构，而无需等待完美的需求或庞大的支持团队。工作从问题开始，而不是预设的流程。你可能会调查非结构化的用户信号，建立轻量级的工作流程，构建AI辅助工具，改进现有操作，或帮助新发布的产品具备运营能力。目标是打造其他人可以运行的持久系统，而不仅仅是完成一系列单独的任务。
该职位的职责会随着公司优先事项的变化而变化，可能涵盖已确立的危害领域、新兴风险孵化、云部署和合作、设备安全或新产品发布。一些员工可能主要专注于云部署运营，包括发布准备、合作伙伴协调、安全工作流程和运营监控。你通常会同时负责少量高影响力的问题，并需要判断哪些内容需要构建，哪些可以保持轻量，以及何时工作可以扩展、转移或停止。
地点/工作模式：加利福尼亚州旧金山；混合办公，每周3天在办公室。
请注意：此职位可能涉及接触敏感或令人担忧的内容。强大的判断力、良好的职业道德和韧性是必不可少的。
在此职位中，你将
- 对模糊的、高优先级的安全和风险问题负责
- 与跨职能团队合作，制定和实施有效的操作解决方案
- 分析和评估风险，提出改进建议以提升系统安全性
- 设计和优化工作流程，提高运营效率
- 与产品、工程、数据科学等团队紧密协作，推动项目落地
- 负责新兴风险的识别、评估和应对策略的制定
- 持续改进现有的操作流程，确保其可扩展性和可持续性
- 在必要时与外部合作伙伴或供应商进行沟通和协调
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About the Team
At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We translate real-world user and operational signals into timely decisions, practical interventions, and improvements to our products and systems.
This role will take on new, ambiguous, or underdeveloped operational risks and help mature them into scalable capabilities. We work across USRO and partner closely with Product, Engineering, Data Science, Product Policy, Legal, Safety, Support, and external vendors or partnership stakeholders.
About the Role
We are seeking a Senior Operations Analyst to take on complex, ambiguous safety and risk problems and turn them into practical operational solutions that can scale. This is a senior individual-contributor role for a versatile operator who is comfortable moving between queues, investigation, analysis, workflow design, hands-on execution, and cross-functional leadership. Depending on team needs, the role may focus on emerging-risk incubation, cloud deployment partnerships, or other new operational areas.
You will be expected to move quickly, work hands-on, and create structure without waiting for perfect requirements or a large support team. The work starts with the problem, not a prescribed process. You may investigate unstructured user signals, stand up a lightweight workflow, build an AI-assisted tool, improve an existing operation, or help a new launch become operationally ready. The goal is to produce durable systems that other people can run, not simply complete a series of individual tasks.
The portfolio will change with company priorities and may span established harm areas, emerging-risk incubation, cloud deployments and partnerships, device safety, or new product launches. Some hires may focus primarily on cloud deployment operations, including launch readiness, partner coordination, safety workflows, and operational monitoring. You will typically own a small number of high-impact problems at a time and will be expected to judge what needs to be built, what can stay lightweight, and when the work is ready to scale, transfer, or stop.
Location / work model: San Francisco, CA; hybrid, 3 days/week in-office.
Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, good judgment, and resilience are essential.
In This Role, You Will
- Take ownership of ambiguous, high-priority safety and risk problems: define the problem, gather the right evidence, choose a practical path, drive execution, and close the loop.
- Analyze structured and unstructured data, both quantitative and qualitative. This may include user reports, case narratives, conversations, escalations, and operational metrics to identify patterns, risks, and the highest-leverage interventions.
- Build and test lightweight workflows, tools, automations, and decision aids that improve speed, quality, and consistency, then iterate based on real-world use.
- Turn one-off insights and manual work into scalable operating mechanisms without adding unnecessary process or complexity.
- Lead sensitive investigations, incident response, or launch-readiness work, including safety workflows, human review, escalation paths, partner coordination, and operational monitoring for product launches or cloud deployments.
- Work directly with cross-functional and external partners to clarify ownership, resolve operational gaps, and turn incomplete signals into clear recommendations and decisions.
- Measure whether the work is improving outcomes—such as quality, speed, coverage, operator effort, or risk reduction—and adjust quickly when it is not.
- Help junior operators build judgment and independence through coaching, calibration, and reusable tools.
You Might Thrive in This Role If You
- Have 8+ years of experience in trust and safety operations, investigations, incident response, product operations, technical program management, or another high-judgment, data-heavy operational field.
- Have a track record as a scrappy generalist who can enter an unfamiliar problem, learn quickly, and deliver with limited structure or support.
- Are highly data savvy, including the ability to make sense of messy qualitative or unstructured information and combine it with quantitative evidence.
- Are technically fluent and hands-on with AI tools, dashboards, and data tooling, and can build or prototype practical solutions without waiting for a dedicated technical team.
- Operate independently, make clear tradeoffs, and maintain momentum as priorities and requirements change.
- Think in systems: you look beyond the immediate task and build approaches that can be repeated, measured, and operated by others.
- Exercise strong judgment in sensitive situations involving user impact, policy, legal risk, technical constraints, and business priorities.
- Communicate clearly and directly, especially in writing, and can drive decisions across teams without formal authority.
Nice to Have
- Experience in trust and safety, fraud, product safety, integrity, or another adversarial or high-severity risk domain.
- Experience moving a new or immature workflow from early investigation into stable, scaled operations.
- Experience supporting cloud platforms or deployment partnerships, enterprise products, product launches, connected devices, or other technically complex programs. Direct cloud experience is a plus, not a requirement.
- Familiarity with SQL, lightweight scripting, no-code tools, workflow automation, or AI-assisted development.
- Experience with vendor operations, quality programs, calibrations, or distributed operational teams.
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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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