Jobs / United States / Workday INC
AI Operations Lead, Localization
Workday INC · 🇺🇸 USA, CA, Pleasanton
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 255 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 103 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Workday INC paid sponsored hires in similar roles2 certified filings for “Sr Business Systems Analyst” (Operations Research Analysts) in CA: $135k–$149k, median $142k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Workday INC
The US Department of Labor certified 255 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 103 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Workday INC →
About the role
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team 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. About the Role 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. About You 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 e