Technical Intelligence Analyst

OpenAI•San Francisco, CA

1d•Hybrid

About The Position

The Intelligence and Investigations team at OpenAI seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. This team is dedicated to identifying emerging abuse trends, analyzing risks, and working with internal and external partners to implement effective mitigation strategies to protect against misuse. The Strategic Intelligence & Analysis (SIA) team specifically provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Their work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. 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. Additionally, 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 and is hybrid, requiring 3 days per week in the office. Relocation support is available.

Requirements

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.
Ability to thrive in ambiguous and fast-moving environments.
Ability to communicate findings clearly, including evidence, uncertainty, limitations, and trade-offs.

Nice To Haves

Technical knowledge of AI systems
Experience building graders, classifiers, or analytical scorecards

Responsibilities

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.