🛠 Tech Stack

💼 About This Role

You'll join a fast-growing tech environment focused on maintaining platform trust by analyzing abuse patterns and behavioral signals. You'll build detection frameworks and monitor critical safety metrics to improve protections for legitimate users. This role offers the chance to work at the intersection of data analytics and operational intelligence in a remote-first setting.

🎯 What You'll Do

• Conduct root-cause investigations into suspicious activity and behavioral anomalies.
• Define, track, and optimize key enforcement and safety metrics.
• Build dashboards and monitoring systems for real-time and historical visibility.
• Collaborate with engineering and operations to test policy changes and iterate on detection strategies.

📋 Requirements

• 3+ years experience in data analytics, trust & safety, or fraud prevention.
• Strong proficiency in SQL and experience with BI tools like Looker or Mode.
• Experience working with large-scale event datasets and complex analytical investigations.
• Strong understanding of metrics development, experimentation, and data-driven decision-making.

✨ Nice to Have

• Interest in online safety, abuse prevention, or fraud detection.
• Familiarity with statistical concepts and model performance evaluation.
• Ability to work collaboratively in remote and cross-functional teams.

🎁 Benefits & Perks

• 🏠 Fully remote work environment with international team.
• 🚀 Rapidly growing company with strong product culture.
• 🛡️ Exposure to large-scale platform analytics and trust & safety operations.
• 🤝 Collaborative and supportive culture focused on innovation and impact.
• 💡 Career growth opportunities within a fast-scaling organization.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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