Senior Product Manager (Recommendation Transparency and Controls) - User Privacy (San Jose)

Team Introduction:

The TikTok Product – Privacy and Responsibility organization builds industry-leading solutions in user privacy, minor protection, transparency, and social responsibility. Our Transparency and Responsibility team is specifically focused on fostering trust through clear and accessible information about how our platform operates. We are dedicated to building innovative features that empower users and external stakeholders with insights into our recommendation systems ensuring a safe, trustworthy, and enjoyable platform for our global community.



Responsibilities:

- Lead the development and execution of product strategies specifically focused on enhancing user transparency and control over their TikTok experience.

- Collaborate closely with cross-functional teams (engineering, design, research, legal, comms) to deeply understand user needs and translate them into innovative product solutions that provide meaningful control and clear understanding of content recommendations.

- Drive the end-to-end product lifecycle for features that empower users with clear explanations of content recommendations, accessible and intuitive in-app tools for adjusting their content experience, and seamless mechanisms for providing meaningful feedback on their recommendations.

- Champion user-centric design principles, ensuring that all transparency and control initiatives are seamlessly integrated into the TikTok in-app experience and are easily discoverable and understandable for all users.

- Monitor and analyze product performance, user feedback specifically related to transparency and controls, and industry trends in algorithmic transparency and user empowerment to identify areas for improvement and new feature opportunities.

- Act as a product owner, taking responsibility for the strategy, roadmap, and execution of some of the key features related to user transparency and controls within the TikTok app.

- Contribute to providing high-quality researcher access to relevant data (while respecting user privacy) to improve external understanding of TikTok's recommendation systems.