• Build, lead and develop a team of backend and data engineers. • Run regular 1:1s, provide feedback and actively mentor engineers in both technical and professional growth. • Create a strong team identity, ownership mindset and high-performance culture from day one. • Hire and onboard new engineers as the team scales. • Drive the design of scalable, maintainable and cost-efficient data acquisition and transformation systems. • Establish strong engineering best practices in system design, testing, observability and documentation. • Improve and modernise existing data workflows by turning ad-hoc initiatives into structured, production-grade systems. • Ensure the team builds with long-term scalability and reliability in mind. • Act as a reference point for data engineering best practices across all teams. • Collaborate closely with other Engineering Managers to ensure alignment and shared standards. • Contribute to architectural decisions that impact company-wide data strategy. • Promote a culture of data quality, clear ownership and measurable outcomes. • Stay technically involved through code reviews, architectural discussions and occasional coding. • Support engineers in solving complex system design challenges.

• build the core experiences used by both bank administrators and bank customers • deliver streamlined, high quality product workflows and the technical systems behind them • design and implement user facing flows • build robust and scalable APIs • integrate with third party services such as Plaid or SendGrid • contribute production grade code with strong documentation and testing • help translate complex product requirements into elegant, maintainable solutions • actively shape architecture through strong technical judgment, clear communication, and well reasoned decision making • mentor and enable the team through technical guidance, thoughtful code reviews, and continuous improvement

• Build, lead, and mentor a team of software engineers, providing guidance on technical growth, career development, and best practices. • Conduct regular 1:1s, performance reviews, and create individual development plans that support each engineer's career trajectory. • Provide technical leadership and guidance on using best practices to review code, adhering to designs to ensure quality, and considering scalability and maintainability. • Partner with Product and Design teams to define project scope, priorities, and technical requirements. • Drive sprint planning, remove blockers, and ensure timely delivery of high-quality features and improvements. • Participate in hiring, onboarding, and building a diverse, inclusive engineering team. • Foster a culture of innovation, continuous learning, and psychological safety where engineers can do their best work. • Champion engineering best practices including code quality, testing, observability, and incident management. • Balance technical debt with feature development and establish engineering metrics to track team health and delivery.

• Leverage emerging AI technologies to enhance performance, automation, and data-driven decision-making across systems and processes • Stay current with AI advancements and evaluate opportunities to apply them in solving complex engineering and business challenges • Build and optimize data infrastructure that powers AI and machine learning pipelines, ensuring scalable, high-quality data availability for advanced analytics and modeling • Being a hands-on manager, you will be responsible for both technical (50%) and management (50%) duties • Maintain a value oriented and business driven approach to project prioritization and resourcing • Collaborate effectively across teams and key stakeholders including Product Management, Product UX Design, Infrastructure, Business, other engineering teams • Provide technical direction to software engineers, ensuring timely, quality design and implementation of applications, business logic • Work with application security and security compliance team to ensure application adheres to standards such as HIPAA • Document architecture using technical design documents • Enable and facilitate problem diagnosis and resolution in technical and functional areas • Encourage change, particularly on the side of engineering best practices, developer experience, and process improvements • Advance shift left for quality practices with activities such as unit testing • Establish and maintain effective communications and working relationships with cross-functional teams • Review the work of other engineers in a collegial fashion to promote growth, and to improve quality and engineering practices • People responsibilities - conduct 1:1 meetings, providing feedback, promoting personal development, establishing goals, and plan for career growth • Support production issues and lead Root Cause Analysis (RCA) efforts