Technical Product Manager - Digital Banking

Nymbus is a fintech company helping banks and financial institutions modernize through digital banking technology and cloud-based solutions. The Technical Product Manager - Digital Banking owns end-to-end product design, specification, and implementation within an AI-first squad model, collaborating with Architects and Shippers to build and release working financial software.

Responsibilities:

• Use AI tools (Kiro, Claude) to rapidly iterate on designs, edge cases, and alternative approaches
• Own end-to-end product design from problem definition through system behavior and user experience
• Author clear, testable, implementation-ready specifications using AI-assisted workflows
• Define APIs, data models, and interaction patterns in partnership with the squad Architect
• Translate business requirements and domain knowledge into buildable system specifications
• Build working software using AI-assisted development workflows as the primary creation method
• Generate, refine, and implement product and technical specifications using spec-driven development
• Prototype and validate solutions rapidly before committing to full implementation
• Push through ambiguity — when requirements are unclear, explore, propose, and build to learn
• Leverage AI tools as co-developers, not just assistants, to multiply output and quality
• Partner daily with the Architect on API design, data modeling, and system architecture decisions
• Coordinate with the Shipper on acceptance criteria, testability, and release readiness
• Participate directly in technical design discussions and tradeoff decisions with the full triad
• Surface blockers, risks, and dependencies to the squad early and proactively
• Maintain shared context with squad partners through specifications, documentation, and working demos
• Manages other duties as assigned

Requirements:

• 5 plus years in product and/or engineering roles within fintech, banking, or financial services
• Experience working with business/commercial digital banking platforms used by small business end customers
• Strong understanding of complex, regulated environments and financial workflows
• Proven ability to translate customer and market feedback into measurable outcomes, including direct input from banks, credit unions, and their customers alongside market and competitive signals to iteratively refine features, driving improvements in customer experience, adoption, and institutional growth
• Ability to connect business goals to technical capabilities and constraints, quickly distinguishing high-impact investments from low-value efforts to keep the work focused on what actually moves the business forward
• Proven ability to design and build systems and workflows, not just define requirements
• Track record of shipping working software, not just producing documentation
• Strong hands-on development capability across front-end and/or back-end technologies
• Ability to own implementation end-to-end within a product domain
• Comfort working across the stack as needed to deliver complete features
• Active, hands-on experience with AI-assisted development workflows
• Demonstrated use of AI tools for specification, code generation, and iteration
• Willingness to experiment with tools and continuously improve AI-augmented building practices
• Comfort operating in a spec-first, AI-first development methodology
• High Agency: Takes ownership of outcomes and drives work forward without waiting for permission or heavy process. Identifies what should be built and builds it
• Problem Solver: Thrives in ambiguity. Frames problems clearly, explores solution spaces, and converges on practical approaches quickly
• Builder Mindset: Measures success by what ships. Prefers building and iterating over planning and discussing. Gets energy from creating working software
• Experimenter: Tests ideas quickly using AI tools and iterates based on results. Explores multiple approaches before committing
• Quality Driven: Focuses on correctness, clarity, and long-term maintainability. Treats specifications and code as durable assets
• Scale Oriented: Designs with performance, extensibility, and operational realities in mind from the start
• Ownership: Takes pride in end-to-end delivery. Does not hand off and walk away — stays accountable through production
• Applicants must be legally authorized to work in the country in which the position is based
• Plus - Understanding of REST APIs, data modeling, and system interactions
• Plus - Familiarity with Node.js, Prisma, Redis, Kafka/SQS, AWS deployment