Trust & Safety Threat Investigations Analyst

Snap Inc.•Los Angeles, CA
•$100,000 - $176,000•Onsite

About The Position

Snap Inc. is seeking a Threat Investigations Analyst to join its Proactive Trust & Safety team. The role investigates and analyzes Terms of Service and Community Guidelines violations, including sensitive content, and uses findings to develop automated detection and enforcement rules, propose safety mitigations, improve operational efficiency, and recommend safety-focused policy and product enhancements. The analyst partners closely with Product, Engineering, and other teams and tracks metrics that measure progress and safety impact. The position involves using data analysis tools and database queries to investigate abuse, identify emerging trends and vectors, and communicate insights to cross-functional audiences. The analyst will build and maintain detection and enforcement rules, apply LLM-based methods to expand and scale detection, support scaled review teams through training and calibration, and improve internal investigation and detection tools. Snap follows a “default together” approach and expects team members to work in an office 4 or more days per week. The role may require evening and/or weekend work on occasion. It 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.
  • 4 or more years of relevant experience in abuse detection, enforcement, and/or investigations.
  • 2 or more years of experience applying SQL in investigations work, including independently querying large datasets, joining multiple data sources, and identifying trends, patterns, and anomalous behavior.
  • 2 or more 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 identify insights from quantitative and qualitative data; create visuals, dashboards, and reports; and make data-informed decisions.
  • Excellent problem-solving and critical-thinking skills with strong attention to detail.
  • Ability to manage multiple high-priority projects concurrently from start to finish.
  • Strong work ethic and ability to work independently and with peers.
  • Sound judgment and ability to navigate ambiguity in a fast-paced, dynamic environment.
  • Excellent verbal and written communication, 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.

Responsibilities

  • Use data analysis tools and database queries to investigate Terms of Service and Community Guidelines violations, analyze data and trends, and document insights 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, ensuring their accuracy and compliance.
  • Apply LLM-based approaches to scale work and expand detection capabilities.
  • Measure mitigation effectiveness and safety impact using metrics, and monitor trends.
  • Coordinate with scaled review teams as needed, including 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 work.

Benefits

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