AI-Driven Product Intern — Travel Experiences

KLOOK TRAVEL TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 11,000 - 22,000; Full time

Job summary

Klook is offering an internship opportunity in Singapore for product management with a focus on AI-native workflows. You will design end-to-end platform features, collaborate with Engineering and Design, and translate business needs into user-friendly product solutions in a fast-paced travel e-commerce setting.

This role emphasizes hands-on use of AI tools and emerging technologies, with mentorship and cross-functional exposure across global teams.

Qualifications

• Current students graduating in 2027 (Bachelor's degree or above). The minimum internship commitment period required is from Dec 2026 to Feb 2027.
• Problem-solving, logical thinking, self-motivation & ability to thrive in a fast-paced environment
• Strong communication skills, a strong sense of ownership, and proven ability to collaborate effectively across cross-functional teams.
• Stay open-minded and curious about emerging technologies. Keep up to date with mainstream AI products and understand the capabilities and limitations of leading large language models (LLMs). Have hands-on experience using AI tools to solve real-world problems, demonstrate a strong willingness to learn new technologies, and adapt quickly to a rapidly evolving environment.

Responsibilities

• 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.
• Gain hands-on experience translating AI capabilities into practical product applications within the travel e-commerce space.

Job description

Klook is offering an internship opportunity in Singapore for product management with a focus on AI-native workflows. You will design end-to-end platform features, collaborate with Engineering and Design, and translate business needs into user-friendly product solutions in a fast-paced travel e-commerce setting.

This role emphasizes hands-on use of AI tools and emerging technologies, with mentorship and cross-functional exposure across global teams.