💼 About This Role

You'll lead a backend engineering team building fraud detection signals for a device intelligence platform. Your core impact will be directly influencing product trust, security, and revenue outcomes by delivering scalable detection systems. This role offers strategic influence on how fraud signals evolve against AI-driven threats.

🎯 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 bot detection and fraud scoring.
• Collaborate with ML engineers to support signal pipelines and model deployment.
• Drive cross-functional alignment with product managers and engineering leadership.

📋 Requirements

• 4+ years of engineering management experience leading teams of ~8-10 engineers.
• Strong technical background in backend or distributed systems at scale.
• Proven track record of delivering complex engineering projects with measurable outcomes.
• Experience working cross-functionally with product managers, data teams, or 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

• 💰 Competitive compensation aligned with senior engineering leadership roles.
• 🏠 Fully remote, globally distributed work environment.
• 🔬 High-impact systems tied to product differentiation and revenue.
• 🛡️ 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. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 1 day