Apple
Manager, Localization Technology
$195K–$294K
Cupertino, California · Manager · Full-time · Posted Aug 11, 2026
- Experience
- 12+ years overall, including 7+ years in people leadership.
- Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, Linguistics, Localization, or a related technical discipline.
About the job
Leads localization technology strategy and teams, building scalable, AI-enabled workflows for Apple’s worldwide Retail and People organizations.
What you'll do
- Design and improve localization architectures, integrations, and automated workflows across content systems and language technologies.
- Lead internationalization and localization quality programs, technology evaluation, governance, performance metrics, and organizational adoption.
- Partner with cross-functional stakeholders and lead and mentor Localization Producers.
What they ask for
- 12+ years of progressive experience in localization technology, language engineering, or enterprise content platforms, including 7+ years in people leadership.
- Track record leading multi-million dollar enterprise localization platform implementations end-to-end, with hands-on TMS, CAT tools, MT/AI workflows, APIs, and enterprise SaaS experience.
- Experience connecting CMS platforms to TMS and MT providers through APIs and orchestration layers, and delivering scalable automated workflows.
- Bachelor's degree in a related technical discipline; experience leading large cross-functional technology programs across the full development lifecycle.
Nice to have
- Master's degree in a related field; experience managing global vendors and budgets.
- Additional language skills and understanding of cultural and linguistic nuances in machine translation.
Pay
$195,200 and $293,800 (base pay range)
Tools
TMS, CMS, machine translation, AI services, CAT tools, Adobe Experience Manager, APIs, enterprise SaaS platforms
AI focus
Integrates and evaluates machine translation, LLMs, post-editing frameworks, AI services, and quality evaluation methods in localization workflows.
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