At a Glance
- Tasks: Lead a team to innovate and automate software localization using AI technologies.
- Company: Join a leading data and AI company with a vibrant, inclusive culture.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and a focus on well-being.
- Other info: Collaborate across time zones in a dynamic, supportive environment.
- Why this job: Make a real impact in global software delivery while growing your career.
- Qualifications: 6+ years in technical localization management and strong leadership skills required.
The predicted salary is between 72000 - 88000 £ per year.
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The Localization team is looking for a Manager, Software Localization Engineering reporting to the Globalization Director to architect, scale and operate an intelligence-driven localization system that continuously evaluates, adapts, and improves multilingual product experiences for our international customers. This role presents an outstanding opportunity to combine expertise in AI-driven translation technologies with strong backend engineering and 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 (OR Glasgow) with the flexibility to collaborate across time zones to deliver world-class, multilingual software.
As a Manager, Software Localization Engineering, you will:
- Lead a team of localization engineers, driving innovation through automation and AI-enabled solutions.
- Set the team's strategic direction and guide execution against business and organizational goals.
- Foster a high-performing culture through coaching, talent development, and performance leadership.
- Drive the evolution of localization platforms, services, and infrastructure supporting global software and content delivery.
- Guide the adoption of next-generation localization technologies, including machine translation and LLM-based workflows.
- Oversee scalable integrations across product systems, content platforms, and development pipelines.
- Partner across engineering, QA, and localization teams to improve quality, efficiency, and delivery outcomes.
- Champion localization best practices, technical standards, and automation strategies across the organization.
- Measure and continuously improve localization productivity and operational performance.
- Ensure compliance with secure software development practices and organizational policies.
- Embrace curiosity, passion, authenticity and accountability.
Work Location: Madrid or Glasgow, with the flexibility to work from the office 2-3 days per week, are strongly preferred. However, we are open to considering remote candidates within either country for the right individual.
Required qualifications
- Minimum 6 years of experience in a technical localization management role, and 2 years of people management.
- At least 2 years of demonstrated leadership experience (e.g., Team Lead, Technical/Project Lead, or People Manager).
- Bachelor’s degree in computer science, Business or related field; 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.
- Expertise in AI/ML technologies, especially as applied to developer tools or localization workflows.
- Solid hands-on experience with at least one programming language, TypeScript, JavaScript, Python, or similar.
- Experience with Translation Management Systems (TMS) tools, workflows and metrics.
- Experience with GitHub Enterprise.
- Familiarity with Automated Localization testing frameworks, such as: Robot Framework and Playwright.
- Flexibility to participate in meetings outside standard working hours to support collaboration with global teams and stakeholders.
Preferred Qualifications
- Experience with Neural Machine Translation.
- Experience developing AI/ML based tools, services, or plug-ins that support developer efficiency and global readiness.
- Experience with JIRA and Confluence.
- Master’s degree is a plus.
Additional competencies, knowledge and skills
- Global Perspective: Demonstrating awareness of and sensitivity to the international market, cultural, technological, political, and legal factors that impact individual and work group priorities and results; leveraging own understanding of the organization’s global strategy, global business trends, and regional differences to enhance individual and work group results.
- Strategic Planning: Obtaining information and identifying key issues and relationships relevant to achieving a long-range goal; committing to a course of action to accomplish a long-range goal after developing alternatives based on logical assumptions, facts, available resources, constraints, and organizational values.
- Leading Change: Driving organizational and cultural changes needed to achieve strategic objectives; catalyzing new approaches to improve results by transforming organizational culture, systems, or products/services; helping others overcome resistance to change.
Benefits highlights
SAS supports your well-being with programs that reduce stress and distractions to help you stay healthy and productive. You will receive a competitive salary package and fringe benefits. You will grow in an energizing and flexible environment. You will enjoy flexibility as we operate in a hybrid model. You are welcome here.
At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com. Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.
Manager, Software Localization Engineering in Glasgow employer: SAS Institute
SAS Institute is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the UK Public Sector. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal environment for those looking to make a meaningful impact in data and AI projects.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Software Localization Engineering in Glasgow
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We think you need these skills to ace Manager, Software Localization Engineering in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SAS Institute.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SAS Institute and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SAS Institute
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SAS Institute uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
