Job Description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience working with Original Equipment Manufacturers (OEMs), Contract Manufacturers (CMs), or Joint Development Manufacturers (JDMs) during New Product Introduction (NPI) phases.
• Experience with AI/ML tools for project management automation.

Preferred qualifications

• Solid understanding of engineering principles and manufacturing processes.
• Proficiency in project planning, scheduling, risk management, and resource allocation.
• Strong analytical mindset with a track record of proactive problem resolution and exceptional organizational skills to balance engaging priorities across multiple simultaneous projects.
• Exceptional organizational and time-management skills, with a proven ability to prioritize competing tasks, manage multiple projects simultaneously, and grow in a fast-paced, rapidly evolving environment.
• Exceptional communication and people management skills to effectively interact with engineers, contract manufacturers, and other stakeholders to foster collaborative relationships and influence without direct authority.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

As an Engineering Project Specialist (EPS), you're the vital link connecting cross-functional teams, ensuring timely delivery of essential development devices. Collaborating closely with engineering program management, engineers, operations, and contract manufacturers, you skillfully orchestrate numerous moving parts to bring products to life. Your role is essential for maintaining project momentum, facilitating seamless communication, and guaranteeing that all stakeholders are aligned to meet critical deadlines.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

As an Engineering Project Specialist (EPS), you're the vital link connecting cross-functional teams, ensuring timely delivery of essential development devices. Collaborating closely with engineering program management, engineers, operations, and contract manufacturers, you skillfully orchestrate numerous moving parts to bring products to life. Your role is essential for maintaining project momentum, facilitating seamless communication, and guaranteeing that all stakeholders are aligned to meet critical deadlines.

Responsibilities

• Manage engineering development device allocation to achieve an optimal balance across validation, qualification, and project budget requirements.
• Drive development build material planning and build matrix optimization, consolidating cross-functional validation requirements and mitigating supply shortages to ensure on-time delivery.
• Bridge internal teams (EPM, Engineering, Operations) and external manufacturing partners, streamlining communication channels and operational workflows to ensure all design and build deliverables are met.
• Optimize build operations and resource readiness through continuous process refinement and the practical application of AI for predictive material planning.