Builds analytical tools and workflows using SQL and Python to identify AI abuse risks, surface novel harms, and scale intelligence analysis for product safety decisions. Requires 3+ years in technical intelligence or risk analysis.
198k – 320k
Hybrid3+ YOEOther
About the role
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.
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.
Delivered zero-to-one analyses and turned 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.
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.
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