TikTok Local Services - Merchant & Listing Policy Manager
Job description
About the team
With the mission of "Inspiring New Life and Helping Good Business", Local Services is committed to becoming the most trusted local service platform for users and partners. In Local Services, through POI, Video, LIVE, Search, and other various products -- services and roles related to life are creatively connected, making the daily life experience richer, more unique, and more innovative.
At the same time, Local Services creates an inclusive and fair business environment, helping merchants, service providers, creators and other roles to continuously create revenue and improve efficiency. In this regard, the Governance and Experience team of Local Services seeks to preserve trust and uplift the user experience for TikTok Local Services, by designing and implementing end-to-end programmes that enable a safe, trustworthy and thriving international marketplace.
Responsibilities
- Develop and optimise industry-specific merchant and product onboarding/posting standards, review rules, governance strategies, KYB (Know Your Business) solutions, POI (Point of Interest) and review management mechanisms to mitigate baseline and ecosystem risks, reduce negative feedback, and enhance user experience.
- Collaborate with business teams to conduct risk assessments based on business initiatives, improve end-to-end governance frameworks, and drive the implementation of governance solutions.
- Adopt a data-driven approach to refine risk perception and governance metrics.
- Enhance governance logic through risk monitoring and data insights to drive down risk indicators.
- Work with product and model development counterparts to improve governance tools and model recognition capabilities, increasing governance efficiency and reducing operational costs.
Qualifications
Minimum Qualifications
1. 3 years of experience in platform governance, risk governance, merchant/product governance, or content ecosystem governance.
2. Bachelor’s degree or higher, with a preference for majors in Mathematics, Statistics, Engineering, Data Analysis, or related fields.