Own end-to-end Ads Trust & Safety workflows, designing scalable enforcement systems and partnering with Product, Policy, Engineering, and Legal to support safe monetization growth. Requires 5-8 years in monetization/T&S operations and experience with AI tooling and data-driven risk management.
189k – 210k/yr
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About the role
Responsibilities
Own complex, high-impact Ads Trust & Safety workflows and drive execution across cross-functional partners
Design and scale systems for Ads Trust & Safety, including enforcement models, escalation paths, quality frameworks and customer support
Partner closely with Product, Policy, and Engineering to implement operational processes, tooling improvements, and automation that support policy enforcement
Improve the end-to-end enforcement and advertiser support funnel through frontline enablement, clearer escalation paths, and automation
Act as a key point of contact across internal teams and external partners, providing clear updates on risk, enforcement, and product feedback
Drive operational readiness for new Ads and monetization launches, features, and markets, identifying risks early and ensuring appropriate mitigations are in place
Use data to identify trends, gaps, and emerging risks across Ads surfaces; develop proposals and solutions grounded in metrics and operational signals
Identify opportunities to improve workflows, tooling, and operational efficiency as Ads Trust & Safety programs scale
Act as a senior cross-functional partner and subject-matter expert, influencing direction through strong judgment, clear communication, and credibility
Requirements
5-8 years of experience in Monetization or Ads policy Operations, Trust & Safety, Business Integrity, Risk Operations, or a closely related domain
In-depth experience leveraging AI models or agent-based tooling in operational and support workflows
Proven ability to manage multiple cross-functional workstreams and drive projects to completion in fast-paced environments
Strong operational judgment and systems thinking—able to design solutions that scale beyond manual review
Experience working closely with Product, Policy, Engineering, Sales and Legal teams on enforcement systems, tooling, or automation
Comfort querying and using data to inform decisions, prioritize work, and measure impact
Excellent written and verbal communication skills, including the ability to explain complex risk tradeoffs as well as policy to diverse audiences
Can translate ambiguous risk signals into structured inputs for detection systems, including taxonomy design, labeling guidance, quality standards, and feedback loops
Strong judgment around quality, safeguards, and responsible deployment
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