Responsibilities
- Own QA strategy and execution for agentic AI and core ecommerce flows (definition of done, quality gates, release readiness)
- Define and roll out QA processes from scratch: test planning, risk assessment, defect triage, reporting, and continuous improvement
- Lead cross-team alignment on quality standards and drive adoption through coaching and clear workflows
- Design test architecture across unit/integration/contract/E2E, with a focus on reliability, maintainability, and signal quality
- Build and maintain automation and CI/CD integration; reduce flakiness and improve time-to-signal
- Define AI-specific validation for agent workflows: tool-calling paths, multi-step journeys, failure handling, regressions, and guardrails
- Partner on system design to identify bottlenecks and failure modes; propose changes that improve testability, observability, and resilience
Requirements
- 5+ years in QA / quality engineering for modern web products (APIs + UI)
- Strong coding skills and hands-on automation experience (language flexible; Python/TypeScript common)
- Proven track record of building QA processes and test strategy from scratch in a fast-moving environment
- Strong leadership and ownership: can organize work across teams, set direction, and drive execution without formal authority
- Solid CI/CD experience: test automation in pipelines, quality gates, environment strategy, and test data management
- Strong engineering mindset and system design skills; able to reason about distributed systems and propose pragmatic improvements
Benefits
- Competitive base salary
- Stock options in a high-growth startup
- Competitive PTO with public holidays additional
- Private Health
- Pension
- Wellness benefits
- Breakfast Mondays
Team
Structure: Working with product, engineering, and Agentic AI team
