Quantify uncertainty honestly (confidence intervals, sensitivity checks) so leadership knows how much to trust each number.
Experiment design & execution
Rebuild and run a rigorous experimentation methodology: proper hypotheses, minimum detectable effect (MDE), power and sample-size calculations, guardrail metrics, and clear stopping rules, moving us beyond fixed-window tests.
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Enters, updates and maintains accurate information of customer interaction, transactions, comments and complaints in the company's system
Resolves customer requests and problems by making appropriate booking changes based on company's processes and procedures, as well as activity terms and conditions
Liaises with external vendors and service operators to fulfill booking changes
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Guides and coaches team members on expectations and continuous improvement by communicating direction and goals through regular and clear feedback not only for performance but also attendance and adherence to policies
Works closely with the Workforce Management team to determine anticipated work volume and optimize work distribution
Proactively ask for and give feedback so communicating and coordinating with various departments to make positive change in the organization
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Current students graduating in 2027 (Bachelor's degree or above). A minimum 3-month commitment from Dec 2026 to Feb 2027; extensions are welcome.
Pursuing a degree in Computer Science or a related discipline is preferred. Strong foundation in computer science fundamentals, including data structures and algorithms, operating systems, computer networks, and databases. Hands-on development experience in one or more mainstream programming languages, such as C++, Golang, Python, Java, JavaScript, or Objective-C.
Hands-on experience using AI-assisted development tools to complete software engineering tasks, with the ability to effectively break down complex tasks and independently evaluate and validate the quality of AI-generated code.
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Learn and grow in an AI-native work environment. Leverage cutting-edge tools such as large language models (LLMs) and AI agents in your day-to-day product management work, while gaining hands-on experience in exploring how AI capabilities can be translated into practical product applications within the travel e-commerce space.
Current students graduating in 2027 (Bachelor's degree or above). A minimum 3-month commitment from Dec 2026 to Feb 2027; extensions are welcome.
Problem-solving, logical thinking, self-motivation & ability to thrive in a fast-paced environment
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