Product Operations Specialist - TikTok LIVE Safety Platform Responsibility

TikTok Pte. Ltd.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading social media company in Singapore is seeking a professional to advance content safety systems. You will be responsible for analyzing high-risk content and conducting root cause analyses while collaborating with product and data teams to enhance safety measures. The ideal candidate has a degree in a relevant field and experience in issue identification and analysis. This role plays a critical part in maintaining user trust and safety on the platform.

Qualifications

• Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related fields.
• Experience with case analysis and root cause attribution.
• Proven ability to diagnose complex problems across multiple layers.
• High tolerance for ambiguity and detail-oriented.

Responsibilities

• Own case-level analysis and governance for high-risk content.
• Conduct deep Root Cause Analysis (RCA) based on real cases.
• Abstract common risk patterns from individual or small sets of cases.
• Work closely with stakeholders to translate findings into strategy.

Job description

Responsibilities

Our team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language and multimodal models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth.

• Own case‑level analysis and governance for high‑risk content, over‑enforcement (false positives), and under‑enforcement (false negatives) in the TikTok LIVE ecosystem
• Conduct deep Root Cause Analysis (RCA) based on real cases to investigate metric fluctuations (e.g., CGVR, COR, reports)
• Abstract common risk patterns from individual or small sets of cases, and assess whether issues are isolated incidents or systemic problems
• Work closely with Product, Algorithm, Data, and Moderation teams to translate analysis findings into strategy, model, or process improvements.

Qualifications

Minimum Qualifications

• Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related fields.
• Experience with case analysis and root cause attribution, with the ability to independently drive the full loop from issue identification to actionable recommendations.
• Proven ability to diagnose complex problems across multiple layers, including content/risk definition, model performance, human moderation quality, and system or policy configuration.
• High tolerance for ambiguity, with a rigorous and detail‑oriented approach to validating cases, data, and decision criteria.

Preferred Qualifications

• Experience with model or strategy evaluation, including A/B testing and performance analysis in safety or risk‑related contexts.
• Working knowledge of model evaluation metrics (e.g., Precision, Recall, F1) and the ability to apply sound judgment when interpreting metric changes.
• Understanding of human–machine collaboration, including trade‑offs between automated models, human review, and policy or strategy decisions.
• Experience with multilingual content, international products, or cross‑market operations, with sensitivity to cultural and regional risk differences.