Senior Engineering Manager

Who you are

• At least 10 years of experience in software engineering
• At least 5 years of engineering management experience, and 2 years of experience managing Managers
• You know what high quality code — and software engineering processes — look like and know how to foster an environment that creates them
• Execution focused with an ability to navigate ambiguity
• Ability to do both long term thinking and short term planning
• Experience creating, delivering, and operating multi-tenanted, distributed systems at scale
• You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs
• You're passionate about building an open financial system that brings the world together
• Experience getting LLM based applications to production. Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus
• Experience in the Customer Support Compliance or Financial Crimes domains

What the job involves

• Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization
• Partner with and influence Operations and Compliance organizations to maximize impact
• Build and manage engineering teams in the Compliance domain, to guide the development of features, services, and infrastructure
• Plan, design, develop, and test software systems or applications for software enhancements and new products, including cloud-based or internet-related tools
• Design scalable systems to solve novel problems with modern cloud technology and industry best practices
• Collaborate with engineers, designers, product managers, and senior leadership to turn product and technical vision into a tangible roadmap every quarter
• Coach team members on design principles, coding standards, and AI productivity tools adoption
• Review and ensure the security, scalability, and architectural integrity of feature designs across teams
• Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions
• Lead multiple engineering focused efforts in parallel, while maintaining high service quality standards
• Create and enforce processes to improve engineering quality, AI adoption and high impact delivery of each team member
• Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale