Risk Analyst, Global Response Operations

Drive the scoping and development of risk signals for key problem areas/abuses, including building automated detection pipelines and AI-powered signal aggregation

Identify emerging risks using on-platform and off-platform signals, through monitoring, analysis, and AI-assisted pattern recognition

Conduct investigations to develop rigorous understanding and knowledge of potential emerging trends and evolving risks in priority areas

Work cross-functionally to drive mitigation for identified risk areas, including conducting enforcement on violating trends

Build and execute risk detection strategies to support the management of critical events, such as elections and crises

Use data, internal tools, and AI agents to identify and investigate potential risk areas and patterns at scale and across abuse types

Use quantitative and qualitative research methods to perform root cause analyses on investigative findings or high-priority escalations

Partner with internal experts to build a rigorous understanding of how, where, and why broad forms of abuse are experienced across the platform

Synthesize investigative findings through the creation of analysis and presentations that provide a succinct, coherent narrative assessing risk

Build, prototype, and iterate on AI-native tools and workflows that improve detection capabilities - including agent prototypes, automated investigation workflows, and LLM-powered analysis tools. Champion adoption of technical solutions that drive efficiency, speed, and reduction of language dependence

Bachelor's degree or equivalent experience in investigations, data analytics or technical systems roles

4+ years experience in investigations, data analytics or technical systems roles in Trust & Safety or Risk Operations

Analytical thinking and problem-solving experience

Proficiency in SQL and comfort using AI-assisted tools (e.g., LLMs, code assistants) to accelerate data analysis and workflow automation

Experience working with complex data sets and aptitude for risk identification and analysis using data skills

Experience communicating progress and outputs to both technical and non-technical audiences

Experience prioritizing multiple functions and tasks

Ability to work with potentially graphic and objectionable content

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience investigating Ads, eCommerce, payments, financial risks

Experience with prompt engineering, LLM-based tools, or workflow automation platforms

Proficiency in Python, with experience using it for automation, scripting, or building lightweight tools

Demonstrated ability to rapidly prototype solutions - comfort with a 'build, test, iterate' approach to tooling

Experience building and operationalizing AI agents, automated workflows, or detection pipelines

Experience in risk signal analysis and investigations

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)