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Content Product Manager

traveloka · Shenzhen, Guangdong, China

On-siteImported listingfull-timeabout 10 hours ago

About The Role

Jobscope As a Senior Product Manager on Traveloka's Accommodation team, you own the strategy and execution of content data— responsible for the overall quality of accommodation supplier content data. ensure that accommodation content from multiple sources is accurately matched and enriched, improving the quality of Traveloka’s accommodation supply data and driving net revenue and booking uplift Own the accuracy and coverage of content matching across supplier sources, directly driving the quality of accommodation supply Develop LLM-based matching and content enhancement strategies to improve matching precision and recall at scale Collaborate with Engineering, Data Science, Content Operations, Customer Care, and Account Management teams to improve matching quality and resolve matching issues Develop agentic AI products that improve content operations productivity and reduce manual matching effort Define and track the metrics that measure matching quality (accuracy, coverage, downstream supply quality) and drive a healthy delivery rhythm against them Partner with engineering and data science to prioritize model improvements, experiments, and data investments that move matching quality Diagnose recurring matching failure patterns and drive root-cause fixes across teams Bring a point of view on responsible AI adoption in content matching and enrichment workflows Job Requirements You hold a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related STEM field You have 8+ years experience in technical product management, with a track record of owning a technical or data-intensive product domain end-to-end You have extensive working experience with content or catalog matching and disambiguation in marketplace businesses You have experience leveraging AI in driving product improvements You have a strong educational and working background in data science, computer science, machine learning, or experimentation You can turn ambiguous matching and data-quality problems into a clear, prioritized roadmap You bring operational excellence: clear metrics and a healthy delivery rhythm You collaborate effectively across engineering, data science, content operations, customer care, and supply/account teams

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