🛠 Tech Stack

💼 About This Role

You'll join a fast-growing technology environment focused on maintaining platform trust and safety. You will identify harmful behaviors, build scalable detection frameworks, and drive data-informed decisions to improve protections for legitimate users. Your work directly impacts platform reliability and user experience.

🎯 What You'll Do

• Conduct root-cause investigations into suspicious activity and behavioral anomalies.
• Define, track, and optimize key trust & safety metrics.
• Build dashboards and monitoring systems for real-time platform visibility.
• Collaborate with engineering 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 like Looker or Mode.
• Experience working with large-scale event datasets and complex analytical investigations.
• Understanding of metrics development, experimentation, and data-driven decision-making.

✨ Nice to Have

• Familiarity with statistical concepts including estimation and sampling.
• Experience evaluating predictive or classification models.
• Interest in online safety or abuse prevention.

🎁 Benefits & Perks

• 🏠 Fully remote work environment with internationally distributed team.
• 🚀 Rapidly growing technology company with strong engineering culture.
• 🤝 Collaborative and supportive work environment focused on innovation.
• 📈 Career growth opportunities within a fast-scaling product organization.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Final Interview· 60 min

🚩 Heads Up

• Job posted by third-party (Jobgether) without clear company name.