Product Operation Manager, AI Ops (Prompt Engineering Specialization)

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

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.

Team Introduction
We are a team responsible for building integrity platform and tooling product capabilities and driving continuous improvements to meet our business targets. Our daily work includes product business requirement gathering and analysis, new product launches, platform experience management and cross-functional project management. We need to manage global stakeholders in our daily work in order to form product alignment, monitor product performance and user satisfaction. We also need innovative thoughts to form new projects that can drive changes leveraging the latest tech or operational management efforts.

Responsibilities
- Lead data operations related to AI model training and evaluation, specifically prompt engineering. Collaborate closely with the AI model algorithm team to continually optimize and enhance AI model performance.
- Develop data operation strategies tailored to AI model training and evaluation scenarios. Provide effective data support for large-scale model projects.
- Align models and policies, manage end-to-end prompt generation for model training, and establish standards and SOPs to ensure prompt quality and consistency.
- Maintain clear communication with internal and external stakeholders. Engage with labeling teams, coordinate data requirements internally, and ensure orderly progress of data operation tasks.
- Ensure high-quality operation and delivery of data for AI model training and evaluation. Establish effective mechanisms for training, quality inspection, communication, and data management. Identify and communicate tooling requirements to product managers.