AI Product Shipper

About the role

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. You operate with an AI-first mindset, leveraging tools like Kiro and Claude to accelerate testing, quality assurance, and deployment workflows.

Responsibilities

• 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
• 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
• Maintain 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
• Partner daily with the Builder on acceptance criteria, testability, and definition of done
• Coordinate with the Architect on deployment architecture, observability, and operational concerns
• Surface blockers, risks, and dependencies to the squad early and proactively
• Maintain shared context with squad partners through dashboards, release notes, and quality metrics

Qualifications

• Strong hands-on capability in test automation, CI/CD pipelines, and deployment tooling
• Comfort working across the stack to validate behavior at every layer
• Understanding of REST APIs, data modeling, and system interactions
• Active, hands-on experience with AI-assisted testing and delivery workflows
• Demonstrated use of AI tools for test generation, deployment automation, and incident analysis
• Willingness to experiment with tools and continuously improve AI-augmented delivery practices
• Comfort operating in a spec-first, AI-first development methodology
• 5+ years in delivery, quality engineering, and/or DevOps roles within fintech, banking, or financial services
• Strong understanding of complex, regulated environments and financial workflows
• Proven ability to ship software reliably in high-stakes, correctness-critical systems
• Treats test suites, deployment pipelines, and monitoring as durable assets
• Comfort operating in a cross-functional environment