Data Product Manager - Data, Data Platform

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.

The Data Platform team works on challenges in data infrastructure and data products. Our team focuses on internal tools relating to query engines, logging and data ingestion infrastructure, A/B testing for all product and feature launches, workflow management, distributed cache, data visualization tools, and big data engineering, which supports TikTok's business products.

Responsibilities

- Have a passion for building 0 to 1 products and can executive quickly to provide innovative data product support to internal users;
- Be the primary driver for identifying significant opportunities, have in-depth knowledge of TikTok's business, and deliver data products that are aligned with our mission and recognized best in the industry;
- Lead data product development with a team of world-class engineers and other cross-functional teams;
- Work closely with cross-functional teams to drive product roadmap, define thoughtful product requirements, coordinate resources from other groups (engineering, design, QA, etc.), and guide the team through key milestones;
- Define key performance metrics and analyze these metrics that inform the success of data products;
- Handle multiple projects with high-priority, stakeholders and workstreams.