💼 About This Role

You'll lead a backend engineering team building fraud detection signals for a device intelligence platform. Your work will directly influence product trust, security, and revenue outcomes, helping detect bots and fraudulent behavior in real time. This role sits at the core of the company’s market differentiation.

🎯 What You'll Do

• Lead and grow a backend engineering team of 8-10 engineers.
• Own sprint planning, roadmap execution, and delivery outcomes.
• Oversee development of scalable backend systems for fraud detection.
• Collaborate with ML engineers to support signal pipelines and model deployment.

📋 Requirements

• 4+ years of engineering management experience leading teams of 8-10 engineers.
• Strong backend or distributed systems background with ability to review code.
• Proven track record of delivering complex engineering projects with measurable outcomes.
• Experience working cross-functionally with product managers and ML partners.

✨ Nice to Have

• Exposure to fraud detection, security signals, or device intelligence systems.
• Experience with ML systems in production or real-time/latency-sensitive backend systems.

🎁 Benefits & Perks

• 💻 Fully remote globally distributed work environment.
• 💰 Competitive compensation aligned with senior engineering leadership roles.
• 🔍 Opportunity to lead high-impact systems tied to product differentiation.
• 🧠 Work on cutting-edge fraud detection and AI-driven security challenges.
• 🤝 Collaborative engineering culture with high autonomy and responsibility.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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