Manager, Software Localization Engineering

In this role you will lead the Localization Engineering team to architect and scale AI-driven localization pipelines, partnering with QA, PM, and product engineering. You will drive continuous localization infrastructure, integrating TMS, NMT, and LLM capabilities into production-ready services. You will guide cross-functional teams across geographies, shaping engineering strategy and ensuring secure software development. This position offers a Madrid-based hybrid setup with global impact and opportunities to advance localization tools and standards.

• competitive salary package and fringe benefits
• hybrid work model
• energizing and flexible environment
• well-being programs
• global team exposure
• employee-centric culture

• Lead a functional team of localization engineers and drive efficiency through automation across geographies.
• Set strategic direction for the department and guide reports on goals and procedures.
• Manage all aspects of the department including performance management and professional growth.
• Build and improve Continuous Localization infrastructure and services for SAS software and docs.
• Architect next-generation localization workflows combining NMT and LLM frameworks.
• Develop scalable backend services, APIs, and microservices for automated localization workflows.
• Design integrations between product systems, TMS, content repositories, and CI/CD pipelines.
• Partner with QA to drive automation frameworks for validation and linguistic QA.
• Collaborate with Project Managers to align engineering with localization strategy.
• Provide tooling, automation, and AI-enabled localization guidance to development teams.
• Evolve shared localization tools, frameworks, and standards.
• Develop metrics related to localization quality, throughput, and delivery.
• Ensure compliance with security policies for secure software development.

• 6+ years in a technical localization management role
• 3+ years of people management
• Bachelor in Computer Science or Business; Master’s preferred
• Proven track record leading engineering teams and managing technical projects
• Ability to influence workflow adoption across product teams using clear communication
• Expertise in AI/ML technologies applied to developer tools or localization workflows
• Experience with TypeScript, JavaScript, Python or similar languages
• Experience with Translation Management Systems (TMS) and localization workflows
• Experience with Neural Machine Translation
• Experience with GitHub Enterprise, GitHub Actions, Jira and Confluence
• Experience with automated localization testing frameworks (Robot Framework, 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

• Global perspective
• Strategic planning
• Leading change
• AI/ML in localization workflows
• NMT and LLM frameworks
• TMS tools and workflows