Trust & Safety Threat Investigations Analyst

Snap Inc. • Los Angeles, CA

1d • $100,000 - $176,000 • Onsite

About The Position

Snap Inc. is seeking a Threat Investigations Analyst to join its Proactive Trust & Safety team. The analyst will investigate and analyze violations of the Terms of Service and Community Guidelines, including cases involving sensitive content. The role uses technical skills, data analysis, and investigative judgment to identify abuse trends and insights, develop automated detection and enforcement rules, propose safety mitigations, improve operational efficiency, and recommend policy and product enhancements. The analyst will collaborate with cross-functional partners, especially Product and Engineering, and track metrics that measure safety progress and mitigation effectiveness.

The position also supports scaled safety operations through training and calibration with review teams, provides guidance to Trust & Safety and cross-functional colleagues, and identifies ways to improve internal investigation and detection tools. Snap follows a “default together” policy, expecting team members to work in an office four or more days per week. Flexible hours may occasionally include evenings or weekends. The work involves frequent exposure to sensitive content.

Snap offers benefits including paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that allow employees to share in Snap’s long-term success. The role is eligible for equity in the form of RSUs. U.S. base salary ranges vary by pay zone: Zone A (CA, WA, NYC), $118,000–$176,000 annually; Zone B, $112,000–$167,000 annually; and Zone C, $100,000–$150,000 annually.

Requirements

• BA/BS degree or equivalent work experience.
• At least 4 years of relevant experience in abuse detection, enforcement, and/or investigations.
• At least 2 years of experience applying SQL in investigations, including independently querying large datasets, joining multiple data sources, and identifying trends, patterns, and anomalous behavior.
• At least 2 years of experience in data analysis and visualization, including identifying trends and drawing insights from quantitative and qualitative data.
• Comfort working in a content moderation environment with frequent exposure to sensitive content.
• Ability to work flexible hours, including evenings and/or weekends on occasion if needed.
• Ability to analyze, manipulate, and draw insights from quantitative and qualitative data, and create visuals, dashboards, and reports to communicate insights effectively.
• Strong problem-solving and critical-thinking skills, with attention to detail.
• Ability to manage multiple high-priority projects concurrently from start to finish.
• Strong work ethic and ability to work independently and collaboratively.
• Sound judgment and ability to navigate ambiguity in a fast-paced, dynamic environment.
• Excellent verbal and written communication skills, including explaining technical implementations or analyses to non-technical audiences.
• Knowledge of emerging online abuse trends, adversarial behaviors, and industry approaches to platform safety.

Nice To Haves

• Experience with Python or other scripting languages.
• Experience developing scalable safety solutions.
• Experience working with Product and Engineering teams to develop tools and solutions that improve trust across a platform or product.
• Experience with LLM prompt engineering or LLM agent development.
• Experience building and maintaining data pipelines.
• Experience using Looker, Tableau, or similar programs for data visualization.

Responsibilities

• Use data analysis tools and query databases to investigate Terms of Service and Community Guidelines violations, analyze data and trends, and document findings for cross-functional teams.
• Identify emerging abuse trends and vectors and develop mitigation proposals, including automated enforcement and policy, process, and product improvements.
• Build and maintain automated detection and enforcement rules to ensure accuracy and compliance.
• Apply LLM-based approaches to scale work and expand detection capabilities.
• Measure progress and monitor trends using metrics that reflect mitigation effectiveness and safety impact.
• Work with scaled review teams as needed, including supporting training and ongoing calibration.
• Train and guide Trust & Safety and cross-functional team members on detection and prevention techniques.
• Identify opportunities to improve internal investigation and detection tools and streamline team workflows.
• Collaborate with cross-functional partners, particularly Product and Engineering teams.
• Track key metrics that measure progress.

Benefits

• Paid parental leave (also described as paid maternity and paternity leave).
• Comprehensive medical coverage.
• Emotional and mental health support programs.
• Compensation packages that allow employees to share in Snap’s long-term success.
• Eligibility for equity in the form of RSUs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level