Fun.xyz - Backend Engineer Manager

At fun.xyz, we are building the infrastructure powering the next generation of internet-native financial systems. Our platform enables seamless onboarding, payments, and money movement across both traditional and blockchain-based financial ecosystems. We're looking for a Backend Engineering Manager to lead and scale our backend infrastructure team. This high-impact role reports to the CTO with significant opportunity to shape our technical architecture and engineering culture as we scale. Role Overview We're looking for a Backend Engineering Manager to lead and scale our backend infrastructure team. This high-impact role reports to the CTO with significant opportunity to shape our technical architecture and engineering culture as we scale. You will be drive technical excellence while building a high-performing team - ensuring we deliver robust, scalable backend systems that power seamless Web3 payments. This role is perfect for a crypto-native engineering leader who excels at balancing technical depth with people management Responsibilities Own the overall output of the backend engineering team - deliver reliable, scalable infrastructure that supports our growing Web3 payments platform Lead, mentor, and grow a team of backend engineers while fostering a culture of technical excellence and continuous learning Collaborate with product and protocol teams to translate business requirements into robust technical solutions Establish engineering best practices, code quality standards, and deployment processes Lead incident response and post-mortem processes to continuously improve system reliability Experience as an IC engineer with staff level output Strong technical background in distributed systems, APIs, and database design Opinions on a modern cloud stack Leadership experience in high-performing engineering teams Experience with payment systems, financial infrastructure, or fintech applications Exceptional communicator who can translate technical concepts to cross-functional stakeholders Data-driven approach to decision making with focus on system performance and team productivity