AI Product Manager Intern (TikTok LIVE-Revenue) - 2027 Start

Team Introduction: TikTok LIVE Team is committed to creating real-time interactive scenes. As a new form of content, livestream creates value for all parties in the ecology. Livestream provides users with a unique consumption experience and further generalizes content. It is also a new way of employment to provide more direct fan interaction and deepen relationships to authors; It provides robust and objective revenue to the platform and promotes content exclusivity. It also serves as a "new infrastructure" for the expansion of ecological boundaries.

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: - Build and enhance the broadcaster operation platform capabilities for LIVE scenarios, including but not limited to broadcaster center, performance review and diagnosis, fan engagement, promotion tools, and content optimization. Diagnose business status, identify critical pain points, and develop differentiated solutions. - Deeply understand regional operational needs, analyze the full lifecycle of broadcasters from both B-side (MCN/agency) and platform perspectives as well as C-side broadcaster perspective, explore new opportunities for operational capabilities, and own end-to-end delivery of features from ideation, design, development, testing, launch to performance measurement. - Establish sound data metrics, continuously monitor and optimize the efficiency and logic of functional modules, and drive ongoing product innovation and business iteration. - Collaborate with or lead the development of broadcaster supply growth strategies and product solutions for global operations. - Partner with cross-functional teams including engineering, algorithm, operations and design to independently manage full project cycles, drive the implementation of platform product capabilities, conduct global training, and oversee adoption and promotion.