will be reviewed on a rolling basis - we encourage you to apply early.Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities:
- Optimize the ad delivery experience for Content & Service Search Ads Clients, and drive continuous achievement of client performance and revenue growth.
- Lead product design for Content & Service vertical monetization, including but not limited to understanding advertiser workflows, optimizing user experience journeys, and improving the ad delivery system.
- Leverage LLM to industry-specific user search intent and AIGC to design automated creative solutions
- Translate advertiser needs into vertical-specific format solutions to elevate client experience and maximize monetization efficiency.
- Collaborate with cross-functional and cross-regional teams to deliver product development, launch, promotion, and continuous iteration.
Qualifications
Minimum Qualifications:
- Graduating in 2026 or later, currently enrolled in a bachelor's degree or above
Academic background in statistics, computer science or equivalent science/technical field, with technical experience or project work preferred
- Strong logical thinking and data analysis skills, with the ability to break down, analyze, and solve complex problems
- Strong organizational, planning, communication, and execution skills; self-motivated and responsible, able to drive projects independently with reliability and simplicity
- Excellent cross-team communication, organizational, and analytical skills; able to work effectively with overseas teams across time zones and regions.
- Medium written and oral proficiency in Mandarin required. Both English and Mandarin skill sets are required to support clients in APAC and to communicate with stakeholders
Preferred Qualifications
- Majoring in Computer Science or Data Science or equivalent science/technical field is preferred
- Able to intern for 3 months or longer; candidates available to work 5 days a week are preferred.
- Prior experience in ads/search/recommendation data analysis or product management internships/roles or relevant experience is preferred
- Prior product experience in a global tech company is preferred
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