Engineering Project Manager — Global AI & i18n Launch

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 145,000 - 264,000; Full time

Job summary

Apple Inc. in Cupertino, CA seeks an Engineering Project Manager to drive the internationalization of AI features across 25+ languages and 40+ countries for software and hardware products.

You will lead the technical integration, data pipelines, and model evaluation at the intersection of Core ML, data science, hardware engineering, and global readiness. You will manage end-to-end execution, coordinate dependencies, and communicate risk to executives while guiding cross-functional teams through

Qualifications

• 5+ years of experience as an Engineering Program/Project Manager (EPM), Technical Program Manager (TPM), or similar technical leadership role within a software or hardware engineering organization.
• Technical Lifecycle Mastery: Proven track record of managing the end-to-end development lifecycle for complex, multi-team features spanning software and hardware.
• Cross-Functional Leadership: Demonstrated ability to manage complex dependencies across backend engineering (Modeling/Core ML), front-end implementation, hardware, and QA teams across multiple organizations.
• International Product Expertise: Direct experience shipping products globally, with a deep understanding of internationalization (i18n) and the architectural and data challenges of scaling AI features for global markets.
• Navigating Ambiguity: Ability to drive projects independently, make sound technical decisions with incomplete information, and influence teams without direct authority.

Responsibilities

• AI Feature Orchestration: Facilitate deep technical coordination between Core ML, Software Engineering, Hardware Engineering, and Product Design to integrate AI features into international locales across software and hardware products.
• End-to-End Schedule Management: Produce and manage the master schedule for i18n deliverables, ensuring all cross-functional dependencies—from model training and fine-tuning to UI implementation and hardware readiness—are aligned for global launch.
• AI Data Operations: Direct the lifecycle of international data generation. Lead timelines for data collection, seek budget approvals for global datasets, coordinate with data collection teams and vendors, and iterate on "data playbooks" to improve model evaluation across diverse languages and regions.
• Model Evaluation and Quality: Drive international model evaluation strategy across audio, vision, language, and fusion models. Ensure eval coverage exists for target markets and identify performance gaps that could impact the customer experience internationally.
• Hardware-Software AI Integration: Drive international readiness for AI features that span hardware, on-device ML, and companion software—coordinating across hardware engineering, NPS, and regional QA teams for new product introductions (NPI).
• Technical Risk and Mitigation: Proactively identify and mitigate risks unique to global AI, such as linguistic bias, cultural representation gaps in vision models, regional model performance degradation, and data collection constraints in international markets.
• Stakeholder Leadership: Navigate complex internal organizations to surface risks, drive decisions on feature-by-country gating, and provide clear status to executive stakeholders across engineering, product marketing, and program leadership.

Skills

Cross-functional leadership

International product experience

Technical lifecycle mastery

Stakeholder communication

End-to-end project management

Job description

Apple Inc. in Cupertino, CA seeks an Engineering Project Manager to drive the internationalization of AI features across 25+ languages and 40+ countries for software and hardware products.

You will lead the technical integration, data pipelines, and model evaluation at the intersection of Core ML, data science, hardware engineering, and global readiness. You will manage end-to-end execution, coordinate dependencies, and communicate risk to executives while guiding cross-functional teams through