🛠 Tech Stack

💼 About This Role

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 and monitoring critical safety metrics. You'll collaborate closely with engineering, operations, and data teams to drive data-informed decisions.

🎯 What You'll Do

• Conduct root-cause investigations into suspicious activity and behavioral anomalies
• Define and track key operational metrics like detection speed and false-positive rates
• Build dashboards and monitoring systems for real-time and historical visibility
• Evaluate effectiveness of detection signals and analytical models

📋 Requirements

• 3+ years experience in data analytics or trust & safety environments
• Strong proficiency in SQL and modern BI tools like Looker or Mode
• Experience working with large-scale event datasets and complex investigations
• Familiarity with statistical concepts including estimation and hypothesis testing

✨ Nice to Have

• Experience evaluating predictive or classification models
• Interest in online safety, fraud detection, or platform integrity operations
• Ability to work collaboratively in remote and cross-functional teams

🎁 Benefits & Perks

• 🏠 Fully remote work environment with international team
• 📈 Career growth in a fast-scaling product organization
• 🤝 Collaborative culture focused on innovation and ownership
• 🛡️ Exposure to large-scale platform analytics and trust & safety
• 🌍 Global collaboration opportunities in remote-first culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager round· 45 min