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Product Operations (Shipper)

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Onsite

Product Operations (Shipper)

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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