Job Description

The Global Response Operations organization within Global Operations responds to real-time crises, proactively identifies and evaluates emerging risks, conducts risk-related investigations, and assesses what we could be doing to best benefit our community. By understanding and consistently managing incidents and real-time crises to resolution, the organization drives continuous improvement with our partners across Meta Platforms, Inc.

The Detection team within Global Response Operations is focused on detecting emerging on-platform risks that pose harm to our community and businesses on our platform. We identify, investigate and understand those risks. We partner closely with other Global Response Operations teams, Policy, Product and Process teams to mitigate those risks.

We are looking for someone who has a passion for identifying risks and investigating to understand where and how these are manifesting on our platforms. The ideal candidate has a demonstrated capacity to leverage data and has proficiency in investigation and detection tooling to both detect emerging risks and investigate them. You have rigorous investigative skills and are effective in ambiguous situations - you take initiative and are motivated to help us build out our new detection team work and processes.

This role may involve exposure to potentially graphic and/or objectionable content including but not limited to graphic images, videos, audio and text, offensive or derogatory language, and other potential objectionable material, such as child exploitation, graphic violence, self-injury, animal abuse, and other content which may be considered offensive or disturbing.

Responsibilities

Drive the scoping and development of risk signals for key problem areas

• Identify emerging risks using on-platform and off-platform signals, through monitoring and analysis
• 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 and internal tools 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
• Influence and support innovation of technology, as well as adoption of technical solutions, that improves our detection capabilities (efficiency, speed, and reduction on language dependence)

Qualifications

Bachelor's degree or equivalent experience in investigations, data analytics or technical systems roles in Trust & Safety or Risk Operations

• 4+ years of experience in investigations, data analytics or technical systems roles in Trust & Safety or Risk Operations
• Analytical thinking and problem-solving experience
• Proficiency in SQL
• 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
• Willing to work with potentially graphic and objectionable content Demonstrated ability to rapidly prototype solutions - familiarity with a 'build, test, iterate' approach to tooling
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with prompt engineering, LLM-based tools, or workflow automation platforms
• Experience building and operationalizing AI agents, automated workflows, or detection pipelines
• Experience investigating Ads, eCommerce, payments, financial risks
• Proficiency in Python, with experience using it for automation, scripting, or building lightweight tools
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• 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