Top Tech Jobs & Startup Jobs in Kuala Lumpur

The Project Manager will oversee project scope, develop management plans, schedule activities, manage resources, conduct risk management, and ensure projects are completed on time and within budget while aligning with company goals.

The Invoice Processor in the Accounts Payable department will manage the processing of invoices and travel and expense claims, ensuring compliance with company policies. Responsibilities include verifying invoice accuracy, resolving discrepancies, supporting audits, and producing performance reports.

The Team Leader will oversee daily operations, manage manpower, motivate staff, ensure KPIs are met, address customer complaints, and enhance customer service experience. They will lead a team in a dynamic environment while maintaining performance standards.

The Associate Application Support Consultant will provide efficient support services for Unit4 customers, resolving application problems, managing support cases, handling escalations, and contributing to process improvements. They will mentor less experienced team members and participate in knowledge sharing activities.

As a Workforce Analyst at Keypath Education, you will analyze workforce data, manage staffing levels, monitor contact centre performance, and provide insights for workforce planning. The role involves collaborating with team leaders, ensuring data quality, and reporting on performance metrics to enhance service delivery.

Seeking a Key Account Lead to manage customer success for key accounts in Appier's enterprise solutions business unit in the SEA region. Responsibilities include managing client relationships, driving customer satisfaction and retention, and collaborating across teams to achieve mutual objectives. Requires 6 years of experience in Customer Success or Account Management at a SaaS company or digital marketing agency, with expertise in marketing technology and enterprise client management.

As a Data Scientist at Coda, you'll utilize statistical modeling and machine learning to extract insights from extensive datasets, collaborate with various teams on analytics projects, and create dashboards for business metrics. You'll focus on optimizing models and interpreting A/B testing results to drive business performance.