Manager, Localization Technologist

Socket.dev; Cupertino (CA); On-site; USD 200,000 - 260,000; Full time

Job summary

Apple is seeking an senior leader to design and evolve a scalable localization technology stack, integrating TMS, MT/AI services, and CMS orchestration across global Retail content systems.

The role requires 15+ years in localization tech with 10+ years of leadership, proven enterprise deployments, API-driven integrations, and collaboration with engineering, product, and legal teams to enable global readiness.

Qualifications

• 15+ years in localization technology or enterprise content platforms with 10+ years in leadership.
• End-to-end localization platform implementations including TMS, RFPs, vendor mgmt.
• Experience connecting CMS to translation management and MT providers via APIs.
• Proven delivery of localization tools with requirements, metrics, and user stories.
• Experience leading large cross-functional programs across full development lifecycle.
• Bachelor's degree in a related technical discipline.

Responsibilities

• Lead design, implementation and ongoing refinement of a scalable localization tech stack.
• Own architecture and modernization of localization workflows and content systems.
• Collaborate with engineering, product, legal, procurement and security on multi-phase projects.
• Define and measure success with business requirements and user stories.
• Partner with cross-functional teams to drive global readiness and operational excellence.

Skills

Localization strategy

Leadership & mentoring

Cross-functional collaboration

Program management

APIs & integrations

Education

Bachelor's degree in CS/Engineering/IS/Localization

Master's degree preferred

Tools

TMS (translation management system)

CAT tools

Adobe Experience Manager integration

MT/AI workflows

APIs / orchestration layers

Job description

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Apple’s worldwide Retail Engagement, Marketing and Merchandising (REMM) team creates and delivers programs, campaigns, initiatives, and experiences that help Apple Retail’s customers and teams discover, buy, and go further with Apple products and services. These efforts increase awareness, drive conversion, and grow affinity for Apple. In this role, you'll be responsible for leading the design, implementation and ongoing refinement of an AI-powered language technology stack, future thinking the localization production ecosystem for dynamic content generation and global immediacy. The technology ecosystem will be designed for precision and scale, seamlessly integrating across content creation, localization orchestration workflows and language assets and deployment environments. You will work hands‑on with cross-functional partners to analyze existing workflows, identify opportunities for automation and modernization, and help define how emerging language technologies (MT, LLMs, post‑editing frameworks, quality evaluation methods) can be effectively integrated into orchestration platforms and Apple Retail content systems.

Description

This role leads the localization technology strategy and platform ecosystem supporting Apple's worldwide Retail and People organizations. You will own the architecture, implementation, and continuous improvement of scalable localization workflows — integrating translation management, machine translation, AI services, and enterprise content systems. Working across a broad set of cross‑functional partners, you will drive technology modernization, operational excellence, and global readiness across a complex, high‑impact and dynamic content landscape.

Minimum Qualifications

• 15+ years of progressive experience in localization technology, language engineering, or enterprise content platforms within global consumer technology or high‑profile consumer brands, with 10+ years in a people leadership role managing and mentoring teams
• Demonstrated track record of leading multi‑million dollar enterprise localization platform implementations end‑to‑end — including TMS selection, RFP processes, vendor management, and global deployment — with hands‑on experience across TMS, CAT tools, MT/AI‑enabled workflows, APIs, and enterprise SaaS platforms
• Proven experience connecting CMS platforms (e.g., Adobe Experience Manager) to translation management systems and MT providers through APIs and orchestration layers, with a history of designing scalable, automated content workflows that reduce manual handling
• Verifiable history of delivering localization, translation management, or enterprise‑level tools — evidenced by named products, platforms, or tools delivered — including authoring business requirements, metrics, and user stories for engineering and UI/UX teams
• Experience leading large cross‑functional programs partnering with engineering, product, legal, procurement, and security, with a track record of guiding complex, multi‑phase technology projects across the full development lifecycle
• Bachelor's degree in Computer Science, Engineering, Information Systems, Linguistics, Localization, or a related technical discipline

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, Localization, or related field
• Experience managing global vendors and associated budgets
• Passion for innovation and emerging AI technologies that transform global content delivery, localization quality, and operational efficiency
• Language skills in one or more languages other than English, with a deep understanding of the linguistic challenges posed by different language families
• Ability to navigate and incorporate cultural nuances into machine translation models, ensuring translations resonate authentically with diverse global audiences