TikTok Shop - Automation Labelling Program Manager

About UsTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. About the TeamE-commerce's Governance and Experience (GNE) is a global team responsible for ensuring our marketplace is safe and trustworthy for not only our users, but also sellers and creators. We value user satisfaction and work on policies, rules and systems to ensure quality. Service and moderation Team (SMT) is part of the GNE organization. Our mission is to provide world-class service and experience for customers, sellers and creators. We are looking for an Automation Labelling Program Manager to analyze customer's behavior, and manage the labelling project in the process and finding analysis, to improve the automation modeling capability. Roles & Responsibilities 1. Work with algorithm and product teams to define the automation modeling goals and set the labelling process globally and coordinate with customer service and vendor management teams;2. Set quality measurement and work with vendors to ensure quality targets are met by providing training programs and quality related refreshers;3. Manage the multi-language labeling teams and act as the main point of contact for quality assurance and process flow maintenance;4. Continuously evaluate outcomes, propose improvements for labeling procedures, and ensure a high level of productivity and quality improvement;5. Report, analyse, and provide insights on the labeling outcomes, and feedback to algorithm and product teams to drive improvement on the modeling upgrade. 1. BA or above degrees is needed; 2. 3+years' related working experience in an E-commerce company, having a good understanding of the automation labelling management flow; 3. Good ability of data analysis, and good at finding the issues from the data, and using data to drive improvement;4. Strong ownership, communication in handling the project; 5. Demonstrate good judgment, training and management skills;6. Self-motivation to continuously achieve significant results;7. Ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.