Strategic QA

The Strategic QA role leads quality strategy and the development of a QA technical foundation for an AI-enabled SaaS platform that handles management data. Responsibilities include setting quality-related issues in line with product strategy, planning QA strategy, selecting and introducing technologies, and designing quality-assurance workflows that assume the use of generative AI. The role also organizes priorities for the QA technical foundation, establishes ways to measure product quality based on customer value, and builds processes for quality visualization and measurement.

The position owns cross-functional initiatives intended to balance development speed and product quality. These include designing scalable and reproducible quality-assurance processes, optimizing governance, and building a test-automation foundation. The role also supports strengthening the QA organization through recruiting and employer-branding activities. AI is already used across many development flows, from specification planning through implementation, and the QA process is expected to be structured so that AI-supported practices can be adopted across the organization.

Required experience includes considering and planning quality strategy based on business or corporate strategy; leading technical decisions and their implementation that affect multiple products in QA-related areas; carrying out test analysis, design, and execution for web applications in a business company; working in teams that use agile development; improving development-team processes and productivity through initiatives such as test automation; and systematizing practices in which part of quality-assurance work, such as organizing test perspectives or executing tests, is performed with AI so the wider organization can use them.

Preferred experience includes operating a QA organization that balances product-specific quality activities with organization-wide quality improvement; establishing software-quality development guidelines or governance; promoting test automation such as the introduction of end-to-end automated tests; familiarity with BDD and DDD; and web-application development experience in any programming language. The posting also seeks someone able to contribute to hiring, technical communication, and customer interviews in addition to direct development work, and to provide clear forward-looking feedback to teams and the business.

The development environment lists Terraform, Fargate, and ECR for infrastructure; Aurora PostgreSQL for the database; Kotlin and Spring Boot on the server side; React, Next.js, and TypeScript on the frontend; and Datadog Synthetics and Playwright as testing tools. The product is the Loglass management-control SaaS, which is expanding from its primary product toward a management-data and planning platform using generative AI.

This is a full-time regular employee position. The probationary period is three months and may be extended to a maximum of six months. The expected annual salary is JPY 8,000,000 to JPY 20,000,000, determined according to experience and skills. The stated salary examples include monthly fixed overtime pay for 60 hours, with additional overtime paid in full beyond that amount. Salary reviews are held twice a year, in April and October, according to company regulations. Working hours are 10:00–19:00 with a one-hour break, with flextime and core hours from 10:00 to 15:00. The work location is the headquarters in Mita, Minato-ku, Tokyo, and remote work is available. Holidays include weekends, public holidays, and the year-end/New Year period from December 28 through January 3. Benefits include company-leased housing, assistance for PC-related equipment, and a corporate defined-contribution pension plan. Insurance includes health, employees’ pension, employment, and workers’ compensation insurance.