Policy Manager, YouTube Trust and Safety

Google•Mountain View, CA
•$164,000 - $239,000

About The Position

The Trust and Safety Policy Manager is an experienced people manager who leads Policy Leads working on YouTube content moderation challenges, particularly adversarial abuse policy development. The role focuses on defending the platform against rapidly evolving threats, including coordinated spam campaigns, synthetic media impersonations, sophisticated scams, generative AI exploitation, and inorganic platform manipulation. The manager bridges behavioral threat analysis, machine learning engineering, operations, and product strategy, and leads the development and governance of global policies. The role is part of Google’s Trust & Safety team, which works globally and cross-functionally to identify and address abuse and fraud across Google products. The position may sometimes involve reviewing graphic, controversial, or offensive video content in line with YouTube’s Community Guidelines and YouTube Partner Program policies.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience in data analytics, trust and safety, policy, cybersecurity, business strategy, or related fields.
  • 1 year of experience in people management, leading a team.

Nice To Haves

  • Experience as a thought leader and team lead or people manager in an investigative, anti-abuse environment, such as content abuse, spam, or other behavioral abuse.
  • Ability to work in a rapidly changing industry and manage ambiguity while minimizing uncertainty through quantitative insights.
  • Ability to lead a team to frame problems, structure analyses, and drive impact.
  • Ability to build effective relationships with cross-functional partners across geographies.
  • Excellent strategic and problem-solving skills.
  • Excellent business judgment, influencing, and communication skills.

Responsibilities

  • Manage a team of Policy Leads working on multiple controversial content areas; help the team set clear priorities, manage time effectively, and develop clear, compelling policy proposals for executive audiences.
  • Lead the end-to-end development, implementation, and lifecycle governance of global policies targeting scaled adversarial abuse, generative AI exploitation, coordinated spam networks, and inorganic platform manipulation.
  • Develop expertise in supervised policy areas to support team members and guide efficient and effective policy development.
  • Build and strengthen partnerships with engineering, data science generative AI teams, public policy, Public Relations, legal, and product.
  • Brief cross-functional executives on risk investigations and policy proposals.

Benefits

  • 20% bonus target
  • Equity
  • Benefits
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