Dine-in Key Accounts Project Intern (TikTok-Local Services) - 2026 Start

About the Team With the mission of "Inspiring New Life and Helping

Good Business", Local Service is committed to becoming the most trusted local service platform for users and partners. In Local Service, 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 Service creates an inclusive and fair healthy business environment, helping merchants, service providers, creators and other roles to continuously create revenue and improve efficiency.

As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests. Applications are reviewed on a rolling basis, so we encourage you to apply early.

Responsibilities: 1. Conduct analysis related to TTLS dining products, and identify pricing & product comparison with the industry. 2. Regularly monitor project progress and data metrics, proactively identifying and addressing potential issues.

3. Support BD team with key and tactical campaign collaborations and data insights. 4. Assist the BD team with various data analysis, operational tasks, that can contributed to improved workflow and efficiency. 5. Analyze operational processes and suggest improvements based on data and user feedback to enhance effectiveness.

Minimum Qualifications

• Currently pursuing a Bachelor's degree, internship with operation/business-related work experience.
• Clear logic, strong execution ability, data analysis ability, strong self-drive.
• Good communication skills, strong teamwork spirit, and a proactive mindset.

Fluent in English and Bahasa Indonesia as the role will oversee Indonesia market. Preferred Qualification

• Preferred experience working as part of a global or international team.
• Preferred experience working with data.