Cloud AI Senior Technical Program Manager, Safety and Anti-Abuse

• Manage safety and anti-abuse programs with deep technical and product understanding, applying program management expertise to complex GenAI contexts while providing thought leadership on AI safety.
• Manage end-to-end life-cycles of AI safety initiatives, from requirement gathering and threat modeling to risk assessment, policy enforcement, and feature prioritization.
• Partner with engineering, policy, legal, and product teams to define safety workstreams, mitigation plans, and release milestones. Drive alignment on trust and safety standards across all stakeholders.
• Provide clear project status updates to leadership and partners. Advocate for advanced safety evaluation methodologies, red-teaming practices, and Key Performance Indicators (KPIs) for abuse detection and safety performance.
  

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
• Experience establishing and tracking KPIs for trust and safety, anti-abuse metrics, and AI safety features.
  
• Experience with AI safety principles, anti-abuse mechanisms, content moderation, and guardrail evaluation in Large Language Models (LLMs) and Generative AI release cycles.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience working with AI red-teaming, prompt injection defenses, automated content moderation, and generative AI safety guardrails.
• Experience managing customer trust and safety expectations and establishing best practices for safe AI deployment in enterprise environments.
• Demonstrated track record of managing trust and safety work streams, mitigating emerging AI risks, and managing strategic alignment across evolving programs.
• Exceptional stakeholder management skills, with the ability to influence cross-functional engineering, policy, and research teams without direct authority.

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• Experience with artificial intelligence/machine learning projects, tools, or infrastructure.
• Experience establishing and tracking KPIs for trust and safety, anti-abuse metrics, and AI safety features.
  
• Experience with AI safety principles, anti-abuse mechanisms, content moderation, and guardrail evaluation in Large Language Models (LLMs) and Generative AI release cycles.