Design, implement, and improve the tebiki現場教育 web application, including AI search and editor features, while clarifying requirements and priorities with product, business, and design teams.
About this role
This dedicated QA Engineering Manager joins Tebiki’s QA team and supports SaaS products for frontline operations, including video-based training and manufacturing data analysis. The role sets quality direction across product teams.
Work combines people management with hands-on quality engineering: defining the QA mission, roadmap, metrics, and technical policies; designing and evaluating generative-AI workflows for test analysis and planning; consolidating feedback, bugs, incidents, and application signals; and setting security and performance criteria. It also standardizes on-call, postmortems, monitoring, and MTTR measurement. The stated environment includes Ruby, TypeScript, Go, Ruby on Rails, React, Aurora MySQL, BigQuery, AWS, Docker, Terraform, and GitHub Actions.
Applicants must have experience in QA or Quality Engineering strategy and roadmap delivery, people management, process- or tool-based quality improvement, test-automation or quality-analysis tool implementation, and cross-organizational alignment with EMs and Tech Leads. Near-native Japanese for professional work is required.
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