About the RoleAs 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.
