Senior Engineering Manager – Risk

November 6

Apply Now
Logo of Mercury

Mercury

Fintech • Finance • SaaS

Mercury is a financial technology company that provides online business banking services, although it is not a bank itself. It partners with FDIC-insured banks like Choice Financial Group, Column N. A. , and Evolve Bank & Trust to offer banking services. Mercury aims to simplify financial operations for startups and businesses by offering a range of services including checking and savings accounts, treasury management, corporate cards, expense management, invoicing, and accounting automations. The platform is designed to streamline various banking tasks and enhance financial workflows with features like fraud monitoring and account security. It also offers investment opportunities through its Mercury Treasury product and startup support through its Mercury Raise platform.

201 - 500 employees

Founded 2019

💳 Fintech

💸 Finance

☁️ SaaS

📋 Description

• 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.

🏖️ Benefits

• base salary • equity • benefits

Apply Now

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