100 Lowongan Kerja Customer Servic bulan Februari 2026. Sebanyak 100 Lowongan Kerja Customer Servic dan yang berhubungan dengan Loker Customer Servic, Rekrutmen Customer Servic, Peluang Kerja Customer Servic, Peluang Berkarir Customer Servic, Pekerjaan Customer Servic di Loker.my.id. Temukan Lowongan Kerja Customer Servic yang Anda cari di bawah ini.
JOB DESKRIPSI : Melayani dan mengedukasi pelanggan mengenai produk-produk Spilla Jewelry Melakukan penjualan produk Spilla Jewelry Melakukan input order dan report Handling complain dari pelanggan
KUALIFIKASI : - Laki-laki - Minimal 18 - 40 tahun - SMA/SMK Sederajat - Sudah memiliki pengalaman dalam Cleaning Service dan OB - Pengalaman kerja
Berdomisili di Sleman, Jogja, Bantul (wajib) Shalat 5 waktu Pendidikan minimal SMA/SMK maksimal 25 tahun Mampu mengoperasikan komputer dan perangkat digital Mampu mengelola sosial media:
West Jakarta, Kebonjeruk, West Jakarta City, Jakarta, Indonesia JOB TYPE Full-time About the Role Respond to approximately 300 customer chats daily on marketplaces including Shopee,
TL CS Penempatan: Yogyakarta Kualifikasi: 1. Pendidikan minimal D3/S1. 2. Pengalaman minimal 1 tahun sebagai Team Leader Customer Service 3. Memiliki kemampuan leadership, komunikasi, dan
Deskripsi Pekerjaan : 1. Menghubungi customer potensial melalui telepon, WhatsApp, maupun media online lainnya. 2. Menawarkan dan menjelaskan produk kepada customer, hingga terjadi proses jual
Plan and carry out preventive and predictive maintenance for all production machines (manual, semi-automatic, and fully automatic assembly machines, and testing machines) together with the
OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe
Our Hiring Process: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe
OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe