Product Operation Manager, Local Service - POI

About the Team With the mission of "Inspiring New Life and Helping Good Business", Local Services is committed to becoming the most trusted local services 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 healthy business environment, helping merchants, service providers, creators and other roles to continuously create revenue and improve efficiency.

Responsibilities

• Conduct user experience evaluation and research on POI products for TikTok US business, formulate data evaluation standards.
• Collaborate with product and labeling teams to iterate evaluation capabilities and deliver evaluation results, and take accountability for delivery quality of evaluation outputs and manual operation efficiency.
• Research the launches and iteration updates of competitors in the local services industry, and propose product recommendations and matched solutions for diverse business scenarios. Minimum Qualifications
  1. Bachelor's degree or above, 3+ years of experience in local services, maps / location-based services or O2O industries.
  2. Proven track record of driving business metrics through campaigns or growth initiatives, especially in user permissions, product adoption, or funnel optimization.
  3. Strong learning agility and ownership mindset; able to quickly understand new products, policies and systems, and independently drive projects forward in a fast-paced environment.
  4. Excellent cross-functional communication and stakeholder management skills; capable of coordinating multiple teams and pushing complex initiatives end-to-end under ambiguity and pressure.
  5. Strong data literacy and structured thinking; comfortable using data to define problems, evaluate performance, and make decisions.
  6. Goal-driven, resilient and detail-oriented; able to balance long-term strategy with hands-on execution and rapid iteration.
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     Preferred Qualifications:

     1. Strong product and data sense, data analytics and problem solving skillset
     2. Deep understanding of user behavior and in-app experience is a plus.
     3. Experience with dashboards, experiments or SQL is a plus.