Senior Product Manager – AI Data and Safety

About the team

The AI Data and Safety team plays a critical role in advancing Seed foundational models across modalities and improving AI-native applications built on the Seed model series. We work across the data lifecycle, from defining evaluation approaches and translating user feedback and benchmark outcomes into data requests, to building scalable processes that improve data quality and support rapid model iteration.

Our team combines technical and operational capabilities, bringing together multidisciplinary talent across product management, data engineering, and data operations. Our work is driven by people who think deeply about model behavior, move quickly to solve complex problems, and bring first-hand experience as both builders and users of models and agents.

In close partnership with Seed researchers, industry experts, and leading data vendors, we tackle challenging data problems at the frontier of AI development, helping improve both model performance and user experience.

Responsibilities

• Collaborate with technical teams to precisely define the data requirements necessary for aligning Large Language Models (LLMs) across global markets.
• Develop methodologies for data acquisition and production, while also monitoring costs and assessing the effectiveness and efficiency of these processes. Ensure data quality is maintained at high standards and continually enhance processes based on both quantitative and qualitative feedback.
• Evaluate the impact of data production tools on the effectiveness and quality of data production. Work closely with technical teams to enhance both the quality and effectiveness of these tools.
• Proactively identify and mitigate potential biases and vulnerabilities in the data production process. This includes, but is not limited to, addressing human and system biases through the implementation of technical, product, and operational solutions.

The base salary range for this position in the selected city is $228000 - $492800 annually.