AI G11n Project Manager – IoT

Overview :

The AI Globalization (G11n) Project Manager – IoT leads globalization initiatives for AI-powered connected devices and embedded systems. You will ensure AI features—such as voice interactions, predictive models, and smart device behaviors—are culturally accurate, linguistically correct, and globally scalable.

Contract Duration : 12 Months (Potential 12-Month Extension Based on Performance)

Client : Renowned Multinational Telecommunications Company (to be disclosed during interview)

Key Responsibilities

Manage AI globalization project plans for IoT devices, firmware, and edge AI features.

Collaborate with mobile SW engineering, UX, PMs, Language Specialists to ensure culturally accurate and compliant AI experiences.

Coordinate internationalization of AI workflows including multilingual data sourcing, annotation, and bias mitigation for device interactions.

Oversee integration of AI-enabled localization tools into firmware and device content pipelines.

Report status, KPIs, budget updates, and risks to leadership across multiple time zones.

Mentor teams on AI G11n approaches for embedded systems and global device experiences.

Document localization workflows and processes to ensure clarity and scalability across global operations

Strong organizational and time management skills

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.

5+ years in project management, including 3+ in globalization, localization, IoT, or AI / ML projects.

Strong understanding of IoT ecosystems, device–cloud interactions, and multilingual firmware workflows.

Excellent cross-functional communication skills with ability to align hardware and software teams.

Interest in working in a global / localization-focused environment

Required Tech Stack :

Project Tools : Jira, Asana, Confluence, Gerrit, Smartsheet

Mobile Platforms : iOS / Android build workflows, mobile content systems

AI / ML : TensorFlow Mobile, Core ML, multilingual training data tools

Methods : Agile / Scrum, mobile-specific localization standards