N
Nymbus
Product Operations (Shipper)
Skills
Testing & QAAI
2 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
22 October 2026
What they need
- At Nymbus, the AI Product Shipper is the delivery and quality owner in our squad triad model
- You are responsible for ensuring working software reaches production reliably and meets the quality bar
- Working within a dedicated squad alongside a Builder (who owns product intent, specification, and implementation) and an Architect (who owns system design and technical integrity), you own the ship — from validation through release
- You operate with an AI-first mindset, leveraging tools like Kiro and Claude to accelerate testing, quality assurance, and deployment workflows
- This is not a traditional QA or release manager role
- You are a full-stack delivery professional who defines acceptance criteria, automates validation, manages releases, monitors production health, and drives operational excellence using AI-assisted workflows
- You own the “how it gets to production” and the “how we know it works.”
- You operate as one-third of a high-autonomy squad:
- Shipper (This Role): Owns delivery, quality assurance, release management, and operational readiness. You are the person who ensures what gets built meets quality standards, passes validation, and reaches production reliably
- Builder (Your Partner): Owns product intent, specification, and implementation. The Builder is the primary creator — designing system behavior, authoring specs, and iterating with AI tools to produce working software. You collaborate daily on acceptance criteria, testability, and definition of done
- Architect (Your Partner): Owns system design, technical integrity, and cross-squad consistency. The Architect ensures solutions are scalable, maintainable, and aligned with platform architecture. You collaborate on deployment strategy, observability, and operational requirements
- Together, the triad owns outcomes end-to-end — from problem definition through production operation
- Quality Assurance and Validation
- Use AI tools (Kiro, Claude) to rapidly generate test cases, edge case scenarios, and validation suites
- Define and own acceptance criteria in partnership with the Builder and Architect
- Design and implement test strategies — automated, property-based, integration, and end-to-end
- Own the quality gate — nothing ships that does not meet the published standard
- Drive test automation as the default — manual testing is the exception, not the norm
- Release Management and Deployment
- Own the release process from build artifact through production deployment
- Manage deployment cadence, release coordination, and rollback procedures
- Define and enforce release readiness criteria across the squad
- Monitor deployment health and drive rapid resolution when releases do not perform as expected
- Leverage AI tools to accelerate deployment automation, incident analysis, and release coordination
- Squad Collaboration
- Partner daily with the Builder on acceptance criteria, testability, and definition of done
- Coordinate with the Architect on deployment architecture, observability, and operational concerns
- Participate directly in technical design discussions with focus on testability and operability
- Surface blockers, risks, and dependencies to the squad early and proactively
- Maintain shared context with squad partners through dashboards, release notes, and quality metrics
- Apply expertise in one or more domains such as:
- Core Banking including account structures, posting models, settlement processes, and data integrity
- Digital Banking including account opening, onboarding workflows, KYC and CIP, and user experience design
- Lending including loan lifecycles, servicing logic, payments, and exception handling
- Payments and Cards including transaction flows, authorization and settlement, and integration patterns
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- Comfort working across the stack to validate behavior at every layer
- Ability to own the delivery pipeline end-to-end within a product domain
- Bonus - Understanding of REST APIs, data modeling, and system interactions
- Strong hands-on capability in test automation, CI/CD pipelines, and deployment tooling
- Active, hands-on experience with AI-assisted testing and delivery workflows
- Comfort operating in a spec-first, AI-first development methodology
- Willingness to experiment with tools and continuously improve AI-augmented delivery practices
- Demonstrated use of AI tools for test generation, deployment automation, and incident analysis
- Proven ability to ship software reliably in high-stakes, correctness-critical systems
- Strong understanding of complex, regulated environments and financial workflows
- Track record of owning delivery end-to-end, not just executing test scripts
- 5 plus years in delivery, quality engineering, and/or DevOps roles within fintech, banking, or financial services
- Experience working with core banking or digital banking platforms
- Ownership: Takes pride in production health. Does not hand off after deployment — stays accountable through operational stability
- Problem Solver: Thrives in ambiguity. When something is broken, failing, or unclear, digs in and drives to resolution quickly
- High Agency: Takes ownership of delivery outcomes and drives work forward without waiting for permission or heavy process. Identifies what must ship and makes it happen
- Shipper Mindset: Measures success by what reaches production and stays healthy. Gets energy from reliable, high-quality releases — not from process for its own sake
- Quality Driven: Focuses on correctness, reliability, and operational excellence. Treats test suites, deployment pipelines, and monitoring as durable assets
- Scale Oriented: Designs delivery processes with growing volume, increasing complexity, and operational realities in mind from the start
- Experimenter: Tests delivery approaches quickly using AI tools and iterates based on results. Explores automation opportunities before committing to manual processes
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