yoinka

Policy Manager, Search - Trust and Safety

TikTok

San Jose, California, United States of AmericaFull TimeMidH-1B sponsor company
Sign in to applyVerified 1h ago
Location
San Jose, California, United States of America
Employment
Full Time
Work model
On-Site
Level
Mid
H-1B history
148 approvals (FY2023)

Skills

GenAI

About this role

As a Policy Manager, Search Policy in our Trust & Safety team, you will have the opportunity to work with teams of product managers, data scientists, user researchers, operations, legal and various relevant stakeholders to craft policies and safety strategies for Search and Search product features.

This person will play a critical role in shaping TikTok’s safety and editorial policies for a rapidly growing suite of TikTok Search products, ensuring they are defensible, clear, and consistently applied. You will be responsible for risk assessment, development of policies, and transparency requirements for new and emerging Search features. You will partner closely with product, enforcement, legal, and business teams, and provide thought leadership on complex and cross-cutting issues. This role is highly strategic and hands-on, requiring the ability to manage both immediate priorities and long-term frameworks.

Responsibilities: - Identify and anticipate product and content safety risks to support new launches of Search policies, products and features, leveraging solutions to effectively address the risks by optimizing policy iteration & implementation procedures to let our users engage with a safe content ecosystem. - Support the safe and responsible development and go-to-market of Search features help with search and discovery on TikTok, by conducting pre-launch impact assessments to identify and mitigate potential real-world product harms. - Author and maintain policies governing search indexing, ranking, and AI features (e.g., AI Overviews, Snippets). - Work closely with cross-functional partners and internal experts to understand emerging trends or risks and partner with PMs and ML engineers to code policy rules directly into ranking algorithms and automated moderation models. - Proactively address policy gaps driven by Generative AI, LLMs, and evolving user query behaviors. - Design benchmarks and evaluation suites to measure policy enforcement accuracy, false positives, and algorithmic bias. - Act as the final policy authority for high-stakes, real-time search escalations during breaking news and global crises.

Policy Manager, Search - Trust and Safety at TikTok, San Jose, California, United States of America | Yoinka