🛠 Tech Stack

💼 About This Role

You'll conduct root-cause investigations into suspicious activity and behavioral anomalies to maintain platform integrity. You'll define and track key safety metrics, build dashboards, and collaborate with engineering to improve detection capabilities. This role offers exposure to large-scale platform analytics in a fast-growing technology environment.

🎯 What You'll Do

• Investigate suspicious activity and behavioral anomalies in platform events
• Define, track, and optimize trust & safety metrics like detection speed and false-positive rates
• Build dashboards and monitoring systems for real-time and historical visibility
• Evaluate detection signals and model performance (precision, recall, drift analysis)

📋 Requirements

• 3+ years of experience in data analytics or trust & safety
• Strong proficiency in SQL and BI tools (Looker, Mode, Metabase)
• Experience with large-scale event datasets and complex analytical investigations
• Understanding of metrics development and experimentation methodologies

✨ Nice to Have

• Familiarity with predictive or classification models
• Interest in online safety or abuse prevention
• Experience with remote and cross-functional teams

🎁 Benefits & Perks

• 🏠 Fully remote work environment
• 📈 Career growth within a fast-scaling organization
• 🤝 Collaborative culture with innovation and ownership
• 🛡️ Exposure to large-scale platform analytics
• 🌍 Global collaboration in a remote-first culture

📨 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