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.
Bachelor's degree or above, preferably in Computer Science, Software Engineering, Electronic Information, Telecommunications, or related fields.
Solid computer science fundamentals, including data structures, algorithms, operating systems, and computer networks.
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Thrive in a fast-paced environment, engaging in technical operations and on-call rotations to address incidents related to cloud, OS, network, performance, and reliability.
Drive improvements across the entire infrastructure lifecycle, from ideation and design through development, deployment, user support, and continuous refinement.
Currently an Undergraduate in Computer Science, Software Engineering, Information Security, or a related field.
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Conduct market research and competitor analysis to identify opportunities and provide insights that support product strategy and decision-making.
Develop a strong understanding of the company's products and services, and help translate complex concepts into clear, user-friendly product content and documentation.
Create and maintain product documentation, including release notes, user guides, FAQs, and internal knowledge resources.
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Collaborate with business departments and other relevant teams to jointly control and reduce business risks.
Individuals who are completing or have recently completed a Bachelor's degree in Statistics, Data Science, Management Science, or a related discipline.
Strong interest in data analysis and credit risk preferred.
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Lead data-driven experimentation: Use in-depth data analysis to define and monitor core business metrics, and design and run A/B tests to validate product hypotheses and drive continuous product iteration.
Bachelor's degree or above from a well-recognized university, all majors are welcome, with STEM disciplines such as Computer Science, Mathematics or Physics preferred.
Excellent logical and structured thinking, with the ability to break down complex problems into actionable components and clearly articulate your reasoning process.
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