💼 About This Role

You'll lead a backend engineering team building fraud detection and device intelligence signals at the core of a fast-paced, highly technical platform. Your work directly influences product trust, security, and revenue outcomes by detecting bots and fraudulent behavior in real time. This role offers deep collaboration with ML, product, and research teams to evolve signals against emerging 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 fraud detection.
• Collaborate with ML engineers and data teams on signal pipelines.
• Drive cross-functional alignment with product managers and 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 working with ML systems in production or real-time backend systems.

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with senior engineering leadership roles.
• 🌍 Fully remote, globally distributed work environment.
• 🚀 High-impact systems directly tied to product differentiation and revenue.
• 🛠️ Strong technical ownership and influence over architecture and engineering direction.
• 🤖 Work on cutting-edge fraud detection and AI-driven security challenges.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 4-5 hours