🛠 Tech Stack

💼 About This Role

You'll join a fast-growing technology environment focused on maintaining trust, security, and platform integrity at scale. You'll work at the intersection of data analytics, abuse prevention, and operational intelligence, helping identify harmful behaviors while improving protections for legitimate users. You'll play a key role in building scalable detection frameworks, monitoring critical safety metrics, and driving data-informed decisions across the organization.

🎯 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 engineering teams 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 (Looker, Mode, Metabase)
• Experience with large-scale event datasets and complex analytical investigations
• Understanding of metrics development, experimentation, and data-driven decision-making

✨ Nice to Have

• Interest in online safety, abuse prevention, or platform integrity operations
• Experience evaluating predictive or classification models

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 📈 Career growth opportunities within a fast-scaling organization
• 🌍 Global collaboration with an internationally distributed team
• 💡 Exposure to large-scale platform analytics and trust & safety operations
• 🤝 Collaborative and supportive work culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min