Localization Project Manager (Global, AI‑Driven)

TCWGlobal; Austin (TX); Hybrid; USD 64,000 - 91,000; Full time

Job summary

TCWGlobal seeks an experienced Localization Project Manager to oversee the localization of new user interface features across mobile, desktop, TV, wearables, and web.

You will coordinate localization projects across up to 50 languages, collaborate with engineering, editorial, vendor and QA teams, and develop localization strategies while leveraging AI tools to optimize workflows and reduce rework.

Hybrid work arrangement in Austin, TX.

Qualifications

• Bachelor's degree or equivalent in localization, project management, computer engineering, or related technical field.
• Experience with localization content management systems (CMS), CAT tools, MT/ML tools, and bug-tracking systems.
• Proven PM experience coordinating localization across multiple languages and handling large data volumes.
• Experience using AI tools and prompt engineering to optimize workflows and automate validation.

Responsibilities

• Manage localization of new UI features across platforms (mobile, desktop, TV, wearables, web).
• Coordinate localization projects across up to 50 languages, handling content volume and timely delivery.
• Collaborate with engineering, editorial, vendor, and QA teams on requirements, timelines, and deliverables.
• Develop detailed localization documents, schedules, and workflow plans; produce status reports.

Skills

Localization PM

Cross-functional collaboration

AI tooling

Scheduling & planning

Communication

Education

Bachelor's degree or equivalent in localization/PM/CS

Tools

CMS

CAT tools

MT/ML tools

Bug-tracking systems

Job description

TCWGlobal seeks an experienced Localization Project Manager to oversee the localization of new user interface features across mobile, desktop, TV, wearables, and web.

You will coordinate localization projects across up to 50 languages, collaborate with engineering, editorial, vendor and QA teams, and develop localization strategies while leveraging AI tools to optimize workflows and reduce rework.

Hybrid work arrangement in Austin, TX.