🛠 Tech Stack

💼 About This Role

You'll analyze abuse patterns and behavioral signals to identify emerging risks and improve detection for a fast-growing technology platform. Your work will directly impact platform safety and user experience at scale. This role offers exposure to large-scale trust & safety analytics and collaboration with cross-functional teams.

🎯 What You'll Do

• Conduct root-cause investigations into suspicious activity and behavioral anomalies
• Define, track, and optimize key operational and enforcement metrics
• Build dashboards and monitoring systems for real-time and historical visibility
• Collaborate with data engineering to improve data pipelines and quality

📋 Requirements

• 3+ years of experience in data analytics, trust & safety, or fraud prevention
• Strong proficiency in SQL and modern BI tools like Looker or Mode
• Experience with large-scale event datasets and complex analytical investigations
• Understanding of metrics development, experimentation, and statistical concepts

✨ Nice to Have

• Familiarity with predictive or classification model evaluation
• Interest in online safety or abuse prevention operations
• Ability to work in remote cross-functional teams

🎁 Benefits & Perks

• 🏠 Fully remote work environment with an internationally distributed team
• 🚀 Rapidly growing technology company with strong engineering culture
• 🌍 Exposure to large-scale platform analytics and trust & safety operations
• 🤝 Collaborative and supportive work environment focused on innovation
• 💼 Career growth opportunities within a fast-scaling product organization

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Hiring Manager Interview· 45 min