TikTok Shop - User Growth Product Manager

San Jose, California, United States

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About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
We are looking for a energetic product operation leader to join our TikTok Shopping User Growth team. The User Growth team plays a core role in the acquisition, activation, and retention of billions of users/consumers through our globally popular products such as TikTok, CapCut. We are building platforms, leveraging data & ML models, and providing end-to-end solutions to power the global growth of TikTok Products. Typical growth projects include paid ads, referrals and EDM.

Responsibilities:
- Working for the user growth of TikTok Shop (E-commerce business) in US. Design and execute growth strategies based on local peculiarities.
- Utilize internal and external, local and HQ resources to improve key metrics including number of new customers, repurchase rate, average order value etc.
- Facilitate collaboration between the local team and HQ mid-platform team by contributing local insights to the HQ team and deploying the latest tools/best practices from the HQ to the local business.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: E-commerce Machine Learning ML models

Region: North America
Country: United States

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