🛠 Tech Stack

💼 About This Role

You'll work at the intersection of data analytics and abuse prevention, building scalable detection frameworks to identify harmful behaviors while improving protections for legitimate users. Driving data-informed decisions, you'll collaborate with engineering and operations to enhance platform safety.

🎯 What You'll Do

• Conduct root-cause investigations into suspicious activity and behavioral anomalies
• Define, track, and optimize key enforcement metrics like detection speed and false-positive rates
• Build dashboards and monitoring systems for real-time platform activity visibility
• Collaborate with data engineering to improve data pipelines and quality

📋 Requirements

• 3+ years in data analytics, trust & safety, or fraud prevention
• Strong proficiency in SQL
• Experience with BI tools like Looker, Mode, or Metabase
• Experience working with large-scale event datasets

✨ Nice to Have

• Familiarity with statistical testing and model evaluation
• Interest in online safety or platform integrity operations

🎁 Benefits & Perks

• 🏠 Fully remote work environment
• 🚀 High-growth tech company with strong product culture
• 💡 Exposure to large-scale platform analytics and trust & safety ops
• 🤝 Collaborative cross-functional teams
• 📈 Career growth opportunities in fast-scaling org

📨 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