Senior Product Manager, AI Trust and Safety, Google Search, Anti-Abuse

• Define and drive the multi-year product strategy, goal, and project roadmaps for combating spam and adversarial threats on Search, securing buy-in from cross-functional teams.
  
• Lead PRDs and collaborate with Engineering and Analyst partner teams to operationalize mechanisms that proactively detect abuse trends, combat spam, and manage incidents for deviations from expected system behavior.
  
• Coordinate with Engineering, Policy, Legal, Trust and Safety, and Threat Intelligence to codify emerging abuse vectors and execute mitigation plans aligned with regulatory obligations.
  
• Build and own Go-To-Market (GTM) and comprehensive proactive/reactive communication plans for defense rollouts and policy updates.
  
• Define and own success metrics for anti-abuse initiatives by leading processes to collect, track, and harmonize quantitative and qualitative product metrics.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role, including experience building algorithmic, machine learning, or infrastructure platforms.
• 3 years of experience in Trust and Safety, web spam detection, anti-abuse, or platform integrity.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience building product defenses against adversarial ML risks (e.g., prompt injection, data poisoning), synthetic text generation, or agentic automation.

Preferred qualifications:

• Master's degree in Computer Science, Machine Learning (ML), NLP, or a related quantitative field.
• 3 years of experience working with Policy and Legal teams to develop policies and communications for anti-abuse, spam, or trust and safety products.
• Experience with search ecosystems (e.g., web crawling, indexing pipelines, information retrieval, and link-graph analysis) with a track record of publishing research or leading industry consortia against web abuse.
  
• Experience communicating complex concepts to internal and external audiences, and navigating high-ambiguity technical challenges from concept to production deployment at a multi-million or billion-user scale.

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role, including experience building algorithmic, machine learning, or infrastructure platforms.
• 3 years of experience in Trust and Safety, web spam detection, anti-abuse, or platform integrity.
• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience building product defenses against adversarial ML risks (e.g., prompt injection, data poisoning), synthetic text generation, or agentic automation.