Responsibilities
- Innovate localization strategy and lead complex technical projects throughout their entire lifecycle.
- Design, build, and maintain a full-stack AI translation platform comprising scalable web applications, backend services, and data pipelines.
- Integrate LLMs into core workflows to automate processes, improve content reuse, and support intelligent quality assurance.
- Establish QA frameworks and provide technical support for robust, reliable, and observable localization pipelines.
- Manage vendor relationships, oversee budget planning, and maintain high translation quality standards.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Strong computer science fundamentals, including algorithms and data structures.
- At least five years of software development experience with one or more of Python, Java, JavaScript, C++, or Go.
- Experience designing and architecting scalable, highly available web applications and backend services.
- Familiarity with AI-assisted coding workflows such as Cursor and Claude Code.
- Project management experience leading complex cross-functional technical initiatives, along with effective interpersonal and communication skills.
- Conversational English and Japanese proficiency for daily cross-functional communication.
- Preferred experience with LLM workflows, prompt/context engineering, multi-agent frameworks, or LLM-based translation.
- Preferred understanding of SQL and relational databases and experience building efficient data processing pipelines.
- Preferred familiarity with localization standards such as XLIFF, Translation Management Systems, or automated localization quality assurance processes.
- Preferred experience engaging directly with end users to gather feedback and iterate on product features.
Benefits
- The role is based in Tokyo, Japan.
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About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.