Senior Localization Product Program Manager (UK Remote)

Responsibilities

• Global User Experience & Quality : Act as an advocate for global users, ensuring international perspectives in our program outcomes. Establish and ensure high-quality localization standards, linguistic validation, and bug management.
• Language Asset Governance: Update and maintain documentation for product or program developments. Build and scale key asset usage including glossaries, style guides, and AI-ready datasets to support consistent, inclusive brand experiences.
• Operational & Vendor Management: Identify and close product or program operational gaps with minimal support. Oversee vendor evaluations, ensure accurate budget tracking, and manage third-party localization vendor quality.
• Cross-Functional Collaboration: Collaborate across Product and other teams (including technology, marketing, and UX) to organize and facilitate data-driven change management.
• Process Improvement: Serve as a change agent centered on consultation around process and continuous improvement, optimizing workflows from initiation through post-launch.
• Essential
• 8+ years of related experience in program, project management, and/or localization.
• Localization Strategy: Demonstrated experience in crafting localization strategy and leading cross-functional initiatives to launch successful localized products.
• Vendor Management: Experience collaborating with and managing localization and linguistics vendors to ensure high-quality delivery.
• Technical Proficiency: Mastery of Translation Management Systems (TMS), Computer-Assisted Translation (CAT) tools, machine translation, and content management systems.
• Communication: Exceptional oral and written communication skills in English; ability to influence stakeholders and present plans to diverse audiences. Experience working in a highly cross-functional setting, driving results across various teams and time zones.
• Desirable
• Thorough understanding of internationalization (i18n) and globalization (g11n) concepts and standards such as Unicode and CLDR.
• Demonstrated experience applying AI tools, machine translation (NMT), or LLMs to improve localization workflows.
• Familiarity with Agile development workflows, including Scrum or Kanban.
• Experience with localization programs or project management with educational institutions and/or in the EdTech industry.
• Master's degree in Localization, Linguistics, International Studies, Computer Science, or related field.
• Personal Attributes/Competencies:
• Customer Centric: Focuses on the needs of the customer and global users in all actions and decisions
• Action & Ownership: Demonstrates a bias for action and takes ownership of outcomes
• Self-Awareness & Impact: Understands own strengths/weaknesses and their impact on others
• Accountability: Holds oneself responsible for required actions and team goals
• Quality Focus: Sets high standards for our work and strives for continuous improvement and quality assurance so that our internal & external customers get the best possible outcomes
• Resourcefulness: Creates and advances ways of achieving results in new or difficult situations
• Collaborati

Benefits

Additional Information

We are seeking a strategic and experienced Senior Product Program Manager, Localization to support Turnitin's global expansion. You will be responsible for transforming our localization program into a comprehensive strategic approach, ensuring our products, content, and experiences are seamlessly localized and culturally relevant for our international users. You will manage multiple product and program roadmaps with minimal supervision. You will collaborate closely with product, engineering, and UX teams to establish and execute localization strategies, optimize workflows, and maintain exceptional quality standards across all Turnitin offerings. You will collaborate across Product and other teams to improve product quality and operations. Your expertise will be instrumental in shaping the user experience for millions globally, enabling them to engage with our products in a way that feels inherently local. The ideal candidate is an adaptable, data-driven self-starter who effectively identifies and closes product or program operational gaps with minimal support.

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