Technical Intelligence Analyst

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Technical Intelligence Analyst, you will produce scaled, rapid risk analysis to generate structured and decision-ready intelligence. You will design and support analytical workflows to help the team identify, validate, and prioritize risks. You will surface novel harms and abuse patterns using an ensemble of technical tools and discovery methods. In addition, you will scale recurring intelligence workflows to help analysts prioritize information quickly and efficiently. You will help turn recurring intelligence workflows into reusable frameworks, dashboards, AI-assisted workflows, and rapid analysis tools. You will design and implement lightweight technical solutions to help analysts synthesize raw signals into actionable insights at greater scale. This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available. In this role, you will: - Design and maintain analytical tools, evaluation methodologies, and quality metrics for intelligence workflows. - Provide structure and technical rigor to analyst-built prototypes, redesigning workflows to be generalizable across use cases. - Transform recurring needs into reusable templates, notebooks, graders, and lightweight tools. - Surface novel harms and abuse patterns across a range of ecosystems and behaviors. - Build rapid analysis workflows around emerging risks. - Deliver, monitor, and maintain risk tools and dashboards. - Use SQL, Python, and AI-powered tools to improve analysis speed, coverage, and consistency. You might thrive in this role if you: - Have 3+ years of experience in technical intelligence, integrity, trust and safety, operational risk, or a related quantitative risk domain. - Are strong in SQL and Python, including querying, organizing, and transforming complex datasets. - Have delivered zero-to-one analyses and turned them into reusable playbooks, workflows, or lightweight tools. - Have experience with anomaly detection tools, such as PyOD, and discovery processes for surfacing novel or low-prevalence patterns. - Learn new systems, processes, datasets, and team dynamics quickly. - Thrive in ambiguous and fast-moving environments. - Communicate findings clearly, including evidence, uncertainty, limitations, and trade-offs. - Nice to have: technical knowledge of AI systems, experience building graders, classifiers, or analytical scorecards. 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 p

3+ years of experience in technical intelligence, integrity, trust and safety, operational risk, or a related quantitative risk domain. Strong in SQL and Python, including querying, organizing, and transforming complex datasets. Experience delivering zero-to-one analyses and turning them into reusable playbooks, workflows, or lightweight tools. Experience with anomaly detection tools, such as PyOD, and discovery processes for surfacing novel or low-prevalence patterns. Ability to learn new systems, processes, datasets, and team dynamics quickly. Thrive in ambiguous and fast-moving environments. Ability to communicate findings clearly, including evidence, uncertainty, limitations, and trade-offs. Nice to have: technical knowledge of AI systems, experience building graders, classifiers, or analytical scorecards.