As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 · Strategic Leadership: Develop and execute a technology roadmap in alignment with company goals, focusing on innovation, efficiency, and quality in AI data labeling services.

 · Team Management: Lead and inspire a team of product managers, engineers, and technical leaders across global locations, including onshore and offshore teams.

 · Collaboration: Partner closely with other business unit leaders and cross-functional partners to align technology initiatives with business needs.

 · Product Development: Oversee product management for new and existing AI data labeling products, ensuring alignment with market trends, client demands, and technological advancements.

 · Experience: 10+ years in technology leadership roles, with at least 5 years managing either product or development organizations.

 · Industry Knowledge: Background in AI technology, data labeling, or data annotation services is highly preferred.

 · Global Management: Proven ability to lead global teams, including both onshore and offshore team members.

 · Technical Proficiency: In-depth understanding of software development processes, data management, and cloud-based infrastructures.

 · Education: Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.