---
title: 'Localization Engineer at Snowflake'
canonical: 'https://feeny.ai/job/localization-engineer-snowflake-tokyo-r43cqjtz772x'
type: 'job'
last_seen: '2026-09-18'
---

# Localization Engineer at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Tokyo, Japan
- **Employment:** full-time
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-18
- **Apply:** https://jobs.ashbyhq.com/snowflake/5cef874b-fb07-4265-9488-6a1581c381c8

## Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Localisation Engineer who can join our efforts in continuing to lead the industry in global localization and product translation in Tokyo, Japan. Responsibilities:

- Innovate localization strategy and lead complex technical projects across their entire lifecycle to continuously optimize processes.
- Design, build, and maintain a full-stack AI translation platform, including scalable web applications, backend services, and data pipelines.
- Integrate LLMs into core workflows to drive process automation, enhance content reuse, and support intelligent quality assurance.
- Establish comprehensive QA frameworks and provide ongoing technical support to ensure the robustness, reliability, and observability of localization pipelines.
- Manage vendor relationships, overseeing budget planning and ensuring high translation quality standards.
- Be excellent and think big in building the solution-based approach to offer the best localization at Snowflake.

Required Qualifications:

- Minimum of a Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
- Strong fundamental computer science skills. Knowledge of algorithms and data structures.
- 5+ years of experience in software development working with one or more of the following languages: Python, Java, JavaScript, C++, Go.
- Proven experience in system design and architecting scalable, high-availability web applications and backend services.
- Familiarity with AI-assisted coding workflows (e.g., Cursor, Claude Code).
- Effective interpersonal and communication skills, combined with a wealth of project management experience to drive complex cross-functional technical initiatives.
- Conversational level in both English and Japanese for daily cross-functional communication.

Nice to have:

- Hands-on experience building LLM workflows, prompt/context engineering, or multi-agent frameworks. Experience with LLM-based translation is a big plus.
- Solid understanding of SQL, relational databases, and experience building efficient data processing pipelines.
- Familiarity with localization standards (e.g., XLIFF), Translation Management Systems (TMS), or automated Quality Assurance (LQA) processes.
- Experience engaging directly with end-users to gather actionable feedback and iterate on product features.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: [careers.snowflake.com](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

## Other roles at Snowflake

- [Staff Software Engineer, Frontier Security Team](https://feeny.ai/job/staff-software-engineer-frontier-security-team-snowflake-menlo-park-s0j1d6rx7y26) — Menlo Park, CA
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-sm1dgx3ybzss) — Tokyo, Japan
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-menlo-park-rgxgzwcztf7b) — Menlo Park, CA
- [Staff Software Engineer, Cortex AI Search Infrastructure](https://feeny.ai/job/staff-software-engineer-cortex-ai-search-infrastructure-snowflake-menlo-park-j5d8xyax30bc) — Menlo Park, CA
- [Intermediate/ Senior Software Engineer - Cortex LLM Training Platform](https://feeny.ai/job/intermediate-senior-software-engineer-cortex-llm-training-platform-snowflake-npmnzsyr6rp8) — Bellevue, WA
- [Director, Global Marketing Operations](https://feeny.ai/job/director-global-marketing-operations-snowflake-menlo-park-2j23y8ca32dm) — Menlo Park, CA
- [Senior/Staff System Research Engineer – LLM Inference Optimization](https://feeny.ai/job/senior-staff-system-research-engineer-llm-inference-optimization-snowflake-dwrjfex7daq2) — Bellevue, WA
- [Principal Software Engineer - Performance Engineering (Cloud Infrastructure)](https://feeny.ai/job/principal-software-engineer-performance-engineering-cloud-infrastructure-hr4dbyfrgvq9) — Menlo Park, CA
- [Senior Solution Engineer, Retail & Consumer Goods](https://feeny.ai/job/senior-solution-engineer-retail-consumer-goods-snowflake-chicago-3m7stm4vxfey) — Chicago, IL
- [Senior Technical Program Manager - AppEx](https://feeny.ai/job/senior-technical-program-manager-appex-snowflake-menlo-park-dmn4chvwdetj) — Menlo Park, CA