AI Ops, Localization

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The Globalization team is a central driver for our company's international expansion, using a technology-first approach to ensure our products and services are accessible and culturally relevant for customers across the globe. We serve as the Center of Excellence, partnering with product and engineering teams from initial concept to launch. We are dedicated to building a scalable, resilient globalization infrastructure — and we have fun doing it, working across cultures and disciplines every day.

As a Localization Specialist focused on AI Ops, you optimize global expansion by deploying large and small language models to automate the localization lifecycle. You will focus on scaling international releases through AI-driven quality checks and linguistic model refinement. This role exists to reduce manual translation review work and speed up how quickly Workday can bring products to new markets and languages. You will: Deploy AI model workflows to automate content transformation and adaptation using tools such as Modelfront and Intento. Design and refine prompts for high-accuracy machine translation and cultural nuance. Integrate AI-led localization checks into existing engineering pipelines and streamline workflows using orchestration tools or Phrase. Use AI-based testing tools to validate consistency in the user interface and automate linguistic quality evaluation, reducing reliance on manual review. Collaborate with stakeholders across Engineering, Product, Machine Learning, Legal, and Responsible AI teams to improve usability, trust, and adoption of AI systems globally. Support educational initiatives and team upskilling to build AI fluency and operational excellence across the globalization team.

Basic Qualifications 8+ years of related work experience in localization or translation operations, including 2+ years working directly with AI or automation tools in that context. 2+ years of hands-on experience applying large language models or small language models to text processing or translation workflows. Degree in Computer Science or related field. Other Qualifications: Translation Management: Experience managing translation workflows and platforms such as Modelfront, Intento, or Phrase. Cultural Empathy: A track record of adapting content thoughtfully for different cultural and regional audiences. Process Optimization: Experience identifying and automating manual steps in a linguistic or content workflow, such as building AI-based quality checks. Cross-Team Collaboration: Comfortable partnering with engineering, product, and legal teams to align AI-driven localization work with broader goals. Project Delivery: Ability to manage multiple release timelines and localization deliverables at once. Experience with