Key skills
AI/ML expertiseEngineering managementLarge-scale backend systemsKYC/AML complianceTechnical talent developmentPragmatic builder's mindsetcommunication skillsLeadership skillsAIMachine LearningMLLarge Language ModelsLeadershipRisk ManagementCommunicationCollaboration
About this role
Mercury is a fintech company that focuses on building intelligent systems for business banking. They are seeking a Senior Engineering Manager to lead teams responsible for account onboarding and risk management, ensuring a smooth and safe experience for their clients while applying AI and machine learning to enhance operational efficiency.
Responsibilities:
- Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
- Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
- Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
- Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
- Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
- Build, mentor, and grow engineering talent; help managers and senior engineers level up technically and organizationally
- Drive clarity amid complexity: translating between regulatory nuance and technical execution
- Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant
Requirements:
- 9+ years of software development experience, including 3–5+ years of engineering management in a high-scale tech environment
- AI/ML expertise—you've built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
- Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
- Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
- A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
- Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
- The ability to hire, retain, and develop exceptional technical talent
- A pragmatic builder's mindset: you believe beautiful systems are those that work, adapt, and last