Deskripsi Pekerjaan
Are you passionate about building the infrastructure that powers the world's most sophisticated AI models? TikTok is seeking a visionary Data Product Manager to lead the evolution of our AI Data Platform. In this high-impact role, you will sit at the intersection of machine learning, data engineering, and product strategy, owning the roadmap for our internal data annotation and processing infrastructure.
You will work alongside elite engineering teams to design scalable solutions that improve data quality, increase annotation throughput, and ultimately drive the performance of TikTok's core recommendation algorithms. We are looking for a product leader who thrives on complexity, possesses a strong technical intuition, and is capable of translating ambiguous operational requirements into robust, high-performance data products.
Tanggung Jawab
- Own the end-to-end product lifecycle for the AI data annotation infrastructure, from strategy to execution.
- Collaborate with ML engineers and researchers to identify bottlenecks in data pipelines and implement scalable enhancements.
- Define platform requirements that support massive-scale data processing while maintaining rigorous quality control standards.
- Develop and track key performance indicators (KPIs) to measure data platform efficiency and annotation accuracy.
- Partner with cross-functional global teams to align product roadmaps with the broader TikTok AI research strategy.
- Analyze user workflows to identify opportunities for automation and tool optimization within the platform.
- Translate complex technical requirements into actionable user stories for engineering squads.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative field.
- 3+ years of experience in product management, specifically within data platforms, infrastructure, or AI/ML systems.
- Demonstrated ability to bridge the gap between technical teams and business stakeholders.
- Strong proficiency in SQL and experience working with large-scale distributed data systems (e.g., Hadoop, Spark).
- Deep understanding of data lifecycle management, including data labeling, storage, and retrieval workflows.
- Excellent communication skills with the ability to influence cross-functional teams in a fast-paced environment.
- Prior experience in the tech industry, specifically with AI-driven content platforms, is highly preferred.