N
Nymbus
Technical Product Manager (Core Banking)
Skills
NodeProduct ManagementTesting & QAKafkaRedisAIAWSProduct Manager
13 days ago
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Important information
Contract type:
Permanent
Salary:
$125,000 – $140,000 / year
Location:
United States
Work mode:
Onsite
Published on:
13 October 2026
What they need
- At Nymbus, the AI Technical Product Manager, Core is the primary builder in our squad triad model
- You are responsible for transforming product vision into reality
- Working within a dedicated squad alongside an Architect (who owns system design and technical integrity) and a Shipper (who owns delivery, quality, and release), you own the build, from specification through implementation
- You operate with an AI-first, spec-first mindset, leveraging tools like Kiro and Claude to accelerate every phase of product creation
- This is not a traditional product owner or product management role
- You bring your own experience, research, and creativity to design products end-to-end, authoring specifications, shaping system behavior, and iterating rapidly using AI-assisted workflows
- You own the “what” and the “how,” translating domain problems into working, shippable software
- THE SQUAD TRIAD MODEL:
- You operate as one-third of a high-autonomy squad:
- Technical Product Manager / Builder (This Role): Owns product intent, specification, and implementation. You are the primary creator — designing system behavior, authoring specs, and iterating with AI tools to produce working software. Deep domain knowledge is a plus; the ability to acquire it quickly is a must
- Architect (Your Partner): Owns system design, technical integrity, and cross-squad consistency. The Architect ensures your solutions are scalable, maintainable, and aligned with platform architecture. You collaborate daily on data models, API contracts, and integration patterns
- Shipper (Your Partner): Owns delivery, quality assurance, release management, and operational readiness. The Shipper ensures what you build meets quality standards, passes validation, and reaches production reliably. You collaborate on acceptance criteria, test coverage, and deployment strategy
- Together, the triad owns outcomes end-to-end — from problem definition through production operation
- WHAT YOU WILL OWN:
- Product Design and Specification
- 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
- AI-First Building and Implementation
- 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
- Squad Collaboration
- 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
Benefits
- Healthcare and Dependant Care Flexible Spending Accounts
- Nymbus Awards and Recognition
- Retirement Plan Services / 401(k)
- Parental and Disability Leaves
- Time Off and Company Holidays
- Flexibility of being Fully Remote
- Collaborative Environment
- Employer Subsidized Medical and Dental Insurance- Experimenter: Tests ideas quickly using AI tools and iterates based on results. Explores multiple approaches before committing
- Strong understanding of complex, regulated environments and financial workflows
- Comfort operating in a spec-first, AI-first development methodology
- Comfort working across the stack as needed to deliver complete features
- Active, hands-on experience with AI-assisted development workflows
- Willingness to experiment with tools and continuously improve AI-augmented building practices
- Ways of working:
- Plus - Understanding of REST APIs, data modeling, and system interactions
- Builder Mindset: Measures success by what ships. Prefers building and iterating over planning and discussing. Gets energy from creating working software
- Experience working with core banking platforms
- Demonstrated use of AI tools for specification, code generation, and iteration
- 5 plus years in product and/or engineering roles within fintech, banking, or financial services
- Technical Fluency:
- Strong hands-on development capability across front-end and/or back-end technologies
- Proven ability to design and build systems and workflows, not just define requirements
- Ability to own implementation end-to-end within a product domain
- Plus - Familiarity with Node.js, Prisma, Redis, Kafka/SQS, AWS deployment
- 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
- Problem Solver: Thrives in ambiguity. Frames problems clearly, explores solution spaces, and converges on practical approaches quickly
- Ownership: Takes pride in end-to-end delivery. Does not hand off and walk away — stays accountable through production. Manages other duties as assigned
- Quality Driven: Focuses on correctness, clarity, and long-term maintainability. Treats specifications and code as durable assets
- Track record of shipping working software, not just producing documentation
- AI-First Mindset:
- Scale Oriented: Designs with performance, extensibility, and operational realities in mind from the start
- 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
- 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
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