Training & Quality Lead

TikTokOn-siteFull-timeSenior, 5–8 yearsListed 1 day ago

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About this role

About the team
The Live and Monetization Team supports In-house and Business Partner moderation efforts to address objectionable or disturbing user-generated content in Live formats across AMS, EMEA and APAC regions.
Our team is dedicated to the review and enforcement of policies to maintain a safe and vibrant platform where creators can interact with users. We work daily to find the right balance between harm prevention and free expression by minimizing leakage and minimizing overkill,

The team is responsible for the daily governance of both In-House and Business Partner Moderation Teams, including but not limited to managing daily operations, tracking of KPI's and developing strategies for improvements to operational excellence. The team also ensures cost-effective operations through strategic resource allocation.

Responsibilities
- Strategic Governance & Risk Oversight: Drive quality performance across all markets. Proactively identify systemic risks and emerging blind spots (e.g., novel harmful content trends), and partner closely with Policy teams to resolve complex edge cases, close calibration gaps, and drive consensus on policy interpretation.
- Data Strategy & RCA Leadership: Drive cross-functional Root Cause Analysis (RCA) for major quality defects, ensuring Policy, Engineering, and Operations are aligned on permanent resolutions. Translate raw quality trends into strategic executive summaries for stakeholders.
- Team Leadership & Capability Development: Lead, mentor, and develop a team of Quality & Training Specialists. Drive high standards of performance through regular "shadow audits" and calibration sessions, ensuring inter-rater reliability and continuous competency growth.
- Quality Program Innovation: Drive continuous improvement of quality frameworks. Re-engineer processes, optimize workflows, and leverage AI/automation to transition from fixed audits to dynamic sampling models, reducing manual audit hours.
- Stakeholder Collaboration & Policy Influence: Partner with Policy, Operations, BPO QA, and Training teams. Inject real-world "Golden Sets" into onboarding curricula and translate market insights into actionable policy, process, and training enhancements.
- Predictive Risk Assessment: Adopt a "Market Architect" mindset by producing quarterly threat outlooks that anticipate how seasonal events (e.g., elections, holidays) will impact quality risks, and standardize local operational successes for global scalability.
- Training Governance & Effectiveness: Establish a robust approach to training governance by identifying capability gaps from audit findings and RCA trends, shaping training priorities, and monitoring post-training quality performance to ensure learning interventions deliver measurable improvements.