Digital Product Intern: Build & Launch Apps & eCommerce

Maxis; Kuala Lumpur; On-site; MYR 10,000 - 17,000; Part time

Job summary

Maxis in Kuala Lumpur is offering a Digital Product Intern position to gain hands-on experience in product management, testing, and deployment across eCommerce and app platforms.

You will work with product and development teams to deliver seamless digital experiences, support Jira documentation, and monitor feature performance post-launch while learning end-to-end processes in a large enterprise.

Qualifications

• Currently pursuing a Bachelor's degree in Business, Marketing, Information Technology, or a related field.
• Meticulous, curious, and detail-oriented mindset.
• Strong written and verbal communication skills for effective team collaboration.
• Basic project management skills are an advantage.
• Willingness to learn and ability to work well in a fast-paced team environment.

Responsibilities

• Digital Product Implementation: Support the planning and execution of digital product implementations on eCommerce or app platforms.
• Product Testing & Quality Assurance: Conduct product testing prior to deployment to ensure functionality and readiness.
• Bug Tracking & Monitoring: Monitor product performance and user experience post-deployment; follow up on issues.
• JIRA Documentation & Collaboration: Write and maintain JIRA stories and collaborate with developers.
• Product Monitoring & Reporting: Assist in monitoring key product metrics and reporting on issues and deployments.

Skills

Communication skills

Project management

Attention to detail

Education

Bachelor's degree in Business, Marketing, Information Technology

Job description

Maxis in Kuala Lumpur is offering a Digital Product Intern position to gain hands-on experience in product management, testing, and deployment across eCommerce and app platforms.

You will work with product and development teams to deliver seamless digital experiences, support Jira documentation, and monitor feature performance post-launch while learning end-to-end processes in a large enterprise.