Remote Production Supervisor | Lead & Optimize Operations

Kayaba Indonesia; Sumedang; Remote; IDR 180,000,000 - 300,000,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Paid time off

Remote working environment

Job summary

Kayaba Indonesia is seeking a Production Supervisor to oversee remote operations, ensuring targets, quality, and safety. You’ll act as the liaison between management and shop-floor teams, driving efficiency through data analysis in a fully remote setting.

Ideal candidates have 5+ years in supervisory roles, strong leadership, and expertise in MES and remote collaboration. This role supports a globally distributed production network with a focus on continuity and excellence.

Qualifications

• Bachelor's degree or higher in Operations Management, Business Administration or related field.
• Minimum 5 years in manufacturing/production supervisory role.
• Proven ability to motivate and manage teams remotely.
• Strong grasp of production planning, workflow optimization and quality control.

Responsibilities

• Provide remote supervision to production teams, ensuring schedules and quality standards are met.
• Monitor production metrics, analyze data, and drive efficiency improvements.
• Enforce safety procedures and company policies across shifts.
• Collaborate with planning, logistics and quality control for smooth workflows.
• Conduct remote performance reviews and support team development.
• Troubleshoot issues and implement corrective actions to maintain productivity.

Skills

Remote leadership

Production planning

Quality control

Communication

Problem solving

MES

Virtual collaboration

Team management

Education

Associate's or Bachelor's degree in Operations Management / Business Administration

Tools

MES

Job description

Kayaba Indonesia is seeking a Production Supervisor to oversee remote operations, ensuring targets, quality, and safety. You’ll act as the liaison between management and shop-floor teams, driving efficiency through data analysis in a fully remote setting.

Ideal candidates have 5+ years in supervisory roles, strong leadership, and expertise in MES and remote collaboration. This role supports a globally distributed production network with a focus on continuity and excellence.