Experteer Overview
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In this role, you will lead a team that builds and scales AI-enabled localization pipelines to deliver high-quality multilingual software. You’ll shape the strategy for a globalized engineering function and partner with product, QA, and internationalization teams to drive efficient, secure localization. You will implement next-generation workflows that blend NMT/LLM technologies with robust backend services. This is an opportunity to influence how SAS products reach international customers through intelligent automation and scalable infrastructure.
Compensaciones / Beneficios
• Lead a team of localization engineers and drive cross-regional collaboration
• Define department strategy, governance, and process improvements
• Oversee hiring, performance management and staff growth in partnership with HR
• Develop and enhance Continuous Localization infrastructure and services
• Architect scalable localization workflows integrating NMT/LLM frameworks
• Build backend services, APIs, and microservices for automation of localization
• Design integrations between product systems, TMS, content repositories, and CI/CD pipelines
• Partner with QA to advance automated validation and linguistic QA
• Align engineering execution with localization strategy with PMs
• Guide tooling, automation, and AI-enabled localization practices across teams




• Contribute to shared localization tools, frameworks, and standards
• Develop metrics for localization quality, throughput, and delivery
• Ensure compliance with security policies in secure software development
• Embrace curiosity, accountability and a collaborative culture
Responsabilidades
• 6+ years in a technical localization management role
• 3+ years of people management experience
• Bachelor's degree in computer science, business or related field; Master’s preferred
• Proven leadership of engineering teams and project oversight
• Experience influencing workflows across product teams
• Expertise in AI/ML as applied to developer tools or localization
• Proficiency in TypeScript/JavaScript/Python xqbhyrx or similar
• Experience with TMS tools, workflows and metrics
• Experience with Neural Machine Translation
• Experience with GitHub Enterprise, GitHub Actions, JIRA and Confluence
• Experience with automated localization testing frameworks such as Robot Framework and Playwright
• Experience developing AI/ML based tools or plugins for developer efficiency and global readiness
• Ability to adjust working hours across time zones
• Equivalent combination of education, training and experience
Requisitos principales
• well-being programs
• competitive salary package
• flexible hybrid work model
• in energized and flexible environment
• inclusive culture

📌 Manager, Software Localization Engineering (Madrid)
🏢 Sas Institute
📍 Madrid