Service Product Line Manager - AI-Driven Service Solutions

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 100,000 - 137,000; Full time

Benefits offered by this job

Stock award program

Bonus program

Comprehensive benefits package

Job summary

Applied Materials, Inc. in Santa Clara, CA is seeking a technically adept professional to drive cross-functional service programs. The role focuses on managing product life-cycle readiness for wafer fab equipment, with emphasis on design-for-service and ROI analyses. A STEM MBA is highly valued.

The position is full-time with opportunities to lead analytics initiatives using AI-enabled dashboards and BI tools, while coordinating with suppliers and customers to ensure project progress.

Qualifications

• Bachelor’s degree in engineering (Mechanical, Electrical, Industrial) is required.
• MBA with STEM focus is preferred.
• Strong analytical skills and ability to quantify financial impact.

Responsibilities

• Service readiness throughout the Product Life Cycle of Wafer Fab Equipment.
• Contribute to Design for Installation and Design for Service programs of capital equipment.
• Perform managerial analysis (ROI, sensitivity analyses).
• Conduct product analytics and value estimates using modern tools (AI agents, dashboards).
• Manage projects with reports, charts, checklists and scheduling.

Skills

Technical background in equipment and

Managerial analytical skills

BI tools with AI agents

Strong presentation skills

Clear communication

Analytical problem solving

Education

Bachelor’s degree in Engineering (Mechanical/Electrical/Industrial)

MBA (STEM focus preferred)

Tools

BI tools

AI agents

Job description

Applied Materials, Inc. in Santa Clara, CA is seeking a technically adept professional to drive cross-functional service programs. The role focuses on managing product life-cycle readiness for wafer fab equipment, with emphasis on design-for-service and ROI analyses. A STEM MBA is highly valued.

The position is full-time with opportunities to lead analytics initiatives using AI-enabled dashboards and BI tools, while coordinating with suppliers and customers to ensure project progress.