Job Description

Participate in the development of core Global Payment client-side capabilities, covering e-commerce / local services checkout, credit and financial services, TikTok Pay wallet, standalone payment apps, AI exploration, and other key areas.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

- Payment scenarios: Work on client-side checkout solutions for cross-country payment rule differences, multiple payment method combinations, and complex business scenarios. Help build highly reliable and highly available checkout experiences, continuously improving transaction success rate, user payment experience, and system stability.
- Financial wallet scenarios: Participate in the global capability development of TikTok Pay, including account systems, fund management, local wallet integrations, and payment compliance capabilities across multiple countries. As the business continues to expand, help TikTok Pay evolve from a basic payment capability into a user-facing financial entry point, with the ambition of becoming a widely used global payment tool.
- Architecture scenarios: Participate in client-side checkout architecture governance and foundational capability building, including dynamic rendering, componentization, link decoupling, container capabilities, performance optimization, and stability improvement, enhancing system reusability, scalability, and overall R&D efficiency.
- AI scenarios: Participate in the application of AI in client-side development and core business scenarios, helping build an AI-driven R&D and system capability framework. This includes, but is not limited to, improving development efficiency through AI, such as code generation, workflow-driven development, and business understanding; participating in the design and practice of AI Native / Agentic Commerce capabilities, including interaction models and capability abstractions for agents; exploring and contributing to cutting-edge AI payment capabilities and industry-standard protocols; and promoting intelligent capabilities across payment and financial flows, such as decision intelligence, recommendation intelligence, and experience intelligence, to continuously improve engineering efficiency and business outcomes.