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Skills
Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Business Administrationunmatched
Business Growthunmatched
Business Strategyunmatched
Communication Skillsunmatched
Content Developmentunmatched
Continuous Improvementunmatched
Cross-Functionalunmatched
Customer/Consumer Behaviorunmatched
Data Scienceunmatched
Data Setsunmatched
Leadershipunmatched
Legalunmatched
Operations Managementunmatched
People Managementunmatched
Performance Analysisunmatched
Performance Reviewsunmatched
Policy Analysisunmatched
Policy Developmentunmatched
Policy Evaluationunmatched
Presentation/Verbal Skillsunmatched
Process Developmentunmatched
Public Policyunmatched
Quality Assuranceunmatched
Risk Managementunmatched
Team Lead/Managerunmatched
Writing Skillsunmatched
Description
The Trust & Safety team at TikTok ensures our global community is safe and empowered to create and enjoy content across all our applications. The Policy Scaling team serves as an essential governance function and bridges from policy principle to actual enforcement - ensuring that policies reflect and account for the nuances of actual content and user behavior, are consistently applied, and are continuously improved.
We are looking for a Head of Policy Scaling to lead a globally distributed team of Policy Leads and Policy Managers. As a leader, you will sit at the intersection of Policy, Product, Operations, and business teams, ensuring policy intent is mirrored in enforcement outcomes, and policies are responsive to shifts in content trends and user behavior.
Responsibilities:
Global Team Leadership: Build, lead, and develop a high-performing, globally distributed team of Policy Leads and Managers. Foster an inclusive, resilient culture capable of handling complex, fast-moving challenges associated with Trust & Safety.
High-Quality Labeling & Evaluation: Lead the team on production of high-confidence labeled datasets to support policy performance evaluation across features and identify areas of ambiguity that need to be addressed through policy guidance.
Policy Guidance: Lead the team in maintenance of internal policy guidance to ensure T&S teams are aligned on how to apply policies across a range of methodologies.
Cross-Method Consistency Oversight: Lead evaluation of how policies are applied across human moderation, automation, and hybrid workflows - identifying gaps, drift, or unintended inconsistencies.
Structured Feedback for Policy Development: Identify ambiguity, operational friction, emerging harm patterns, and unintended consequences across harm domains - and provide structured feedback to refine policy drafting.
Business Partnership: Act as a key partner to business teams in areas such as monetized products and emerging business strategy, providing guidance on policy approach, establishing new processes, and coordinating with policy development and product policy teams to support novel issue areas. Minimum Qualification(s):
5+ years of experience in Trust & Safety, Content Policy, Content Operations, Risk Management, or a related field in a high-growth tech environment.
4+ years of people management experience, with a proven track record of leading large, culturally diverse, globally distributed teams.
Policy Operationalization: Deep expertise in translating highly nuanced, ambiguous policy principles into crisp, actionable operational guidance and high-fidelity training data.
Analytical Experience: Strong technical aptitude with experience steering data-driven quality assurance, audit, or compliance frameworks at scale. Comfort collaborating directly with ML/AI engineering teams on automated enforcement workflows.
Exceptional Stakeholder Management: Proven ability to influence executive stakeholders, navigate competing priorities between business growth and platform safety, and build deep cross-functional alliances.
Communication Excellence: Exceptional written and verbal communication skills, with the ability to distill complex operational data into clear, strategic narratives for executive leadership.
Preferred Qualification(s):
Experience working across multiple feature areas (feed, search, live, DMs, etc.).
Advanced degree (JD, MPP, MBA, or equivalent) in public policy, law, data science, or a related field.