Trust & Safety Analyst Engineer

Builds and scales automated trust and safety systems that detect harmful content, fraud, and abuse. The role combines data analysis, software engineering, policy enforcement, and AI-assisted moderation, requiring at least three years of relevant experience.

About the job

Responsibilities

Build, analyze, and scale systems that protect users from harmful content, fraud, and abusive behavior.
Translate safety policies into automated logic, machine learning features, and scalable backend workflows.
Collaborate with trust and safety specialists, data, engineering, and product teams to turn policy into detection and enforcement.
Identify trends across cases and abuse patterns, feeding insights back into policy, tooling, and detection.
Escalate complex or high-severity cases to trust and safety experts, Legal, and Engineering with concise summaries.
Help build AI-assisted moderation tooling.

Requirements

3+ years of experience in trust and safety, platform integrity, or a related role combining data analysis and engineering at a consumer technology company.
Strong technical foundation, including writing code, querying data, and building backend workflows at scale.
Ability to translate safety policies into automated logic, machine learning features, and scalable systems.
Sound judgment under ambiguity when investigating abuse patterns and making decisions quickly.
Comfort working with sensitive content and a steady temperament.
Operational rigor, including documenting decisions, identifying patterns, and turning individual cases into policy and tooling improvements.
Strong written English and clear, empathetic communication with users and internal teams.

Nice to have

Familiarity with the Digital Services Act (DSA).
Familiarity with NCMEC reporting.
Experience handling law enforcement requests.

Skills

Python, SQL, Backend Workflows, Machine Learning, Automated Moderation, Trust & Safety, Platform Integrity, Abuse Detection, Fraud Detection, Policy Enforcement