Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.
About this role
The Software Development Manager role is part of the Japan Store Tech Product Family Support Tech area and is located in Tokyo. The role involves communicating with users, other technical teams, and senior leadership to collect requirements and describe software product features, technical designs, and product strategy.
The posting requires experience recruiting and hiring Software Engineers, along with experience mentoring, coaching, and managing software engineering teams. The stated management objective is to improve team members’ skills and help them become more effective product software engineers.
The named subject areas include software product features, technical designs, product strategy, software engineering, recruiting, hiring, mentoring, coaching, and team management. No specific programming languages, frameworks, cloud platforms, education requirement, years-of-experience threshold, salary, employment type, work schedule, or remote arrangement is stated.
The job is located in Tokyo, Japan. The posting states that workplace accommodation or adjustment is available during the application and hiring process, including interview or onboarding support, for applicants who need it. Further information is provided through the listed accommodations page.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Applied GenAI engineering role for Amazon Logistics requiring AWS data services and big-data technologies, including Redshift, S3, Glue, EMR, Kinesis, Hadoop, Hive, and Spark.
Design production-grade AWS data architectures for enterprise customers, spanning analytics, warehouses, data lakes, pipelines, streaming, search, governance, security, cost, and operations.
Leads end-to-end customer deployments, builds and manages a field engineering organization, develops delivery tools and playbooks, and reviews production code across frontend and backend systems.
Leads technical collaborations and research on hybrid quantum-classical applications for AI, high-performance computing, simulations, and digital twins.
Lead platform engineering for AI-native software development and operations, building automation, quality, monitoring, and secure systems for sensitive medical data.