Manager, Software Localization Engineering

Propertyvalue
Municipality of Madrid, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Municipality of Madrid, Spain

Tech stack

JavaScript
API
Artificial Intelligence
Programming Tools
Github
Python
Machine Learning
Machine Translation
SAS (Software)
Software Engineering
Systems Integration
TypeScript
Flexi (Photoshop Plugin)
Large Language Models
Backend
Information Technology
Playwright
Atlassian Tools
Github Enterprise
Localization Testing
Microservices

Job description

localization workflow knowledge. You will serve as the technical authority, designing advanced localization pipelines integrating TMS, NMT, and LLM capabilities into production-ready systems. You will lead all localization engineering activities in close partnership with Localization Project Management, Localization QA, product engineering teams and internationalization stakeholders, while acting as a go-to resource across the organization. The ideal candidate is Madrid-based with the flexibility to collaborate across time zones to deliver world-class, multilingual software. As a Manager, Software Localization Engineering, you will: - Lead a functional team of localization engineers, driving efficiency through intelligent automation while collaborating across geographies and functions. - Set the strategic direction of the department, provide guidance to direct reports on achieving goals, and recommend improvements to operating procedures. - Manage all aspects of the department

Requirements

including teamwork, performance management and professional growth through collaboration with SAS human resources and leadership. - Lead the team to build and improve the Continuous Localization infrastructure and services that support localization of SAS software and documentation. - Guide the team in architecting next-generation localization workflows combining NMT and LLM-based frameworks. - Direct the development of scalable backend services, APIs, and microservices to support automated localization workflows. - Oversee the design of integrations between product systems, TMS platforms, content repositories, and CI/CD pipelines. - Partner with Localization QA team to drive automation frameworks for validation and linguistic QA. - Partner with Localization Project Managers to align engineering execution with localization strategy. - Provide guidance to development teams on tooling, automation, and AI-enabled localization practices. - Contribute to the evolution of shared localization tools, frameworks, and technical standards. - Develop metrics related to localization quality, throughput, and delivery. - Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. - Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Work Location Based in Madrid, with 2 or 3 days per week in-office work. Required qualifications - Minimum 6 years of experience in a technical localization management role, and 3 years of people management. - Bachelor's degree in computer science, Business or related field; Master's degree preferred. - Solid track record of leading engineering teams, setting goals, and overseeing technical projects. - Ability to work across product teams and influence workflow adoption through clear communication and technical leadership. - Demonstrated expertise in AI/ML technologies, especially as applied to developer tools or localization workflows. - Solid experience with TypeScript, JavaScript, Python, or similar languages. - Experience with Translation Management Systems (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, services, or plug-ins that support developer efficiency and global readiness. - Ability to adjust working hours to accommodate a variety of time zones. - Equivalent combination of related education, training and experience may be considered in place of the above qual

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