AI Agent Abuse Prevention Engineer

Responsibilities

• Lead threat modeling for AI agent features and integrations
• Maintain an evolving attacker playbook for AI agents
• Design and prototype security mitigation controls
• Collaborate with engineering teams to implement secure defaults in SDKs and APIs
• Build anomaly detection rules and behavioral analytics for identifying abuse
• Act as a subject-matter expert in AI agent investigations and define response strategies
• Collaborate with legal and product teams for compliance and risk mitigation

Qualifications

• 10+ years in cybersecurity, software engineering, or ML security with hands-on experience
• Deep understanding of application/API security and modern authentication patterns
• Practical experience with LLMs/agents, including prompt engineering risks and mitigation
• Proven ability to lead cross-functional technical initiatives
• Excellent communication skills for translating technical risks to various audiences
• Experience in a SaaS environment, particularly with customer support platforms

Benefits

• Opportunities for professional development and growth
• Collaborative work environment with cross-functional teams
• Exposure to cutting-edge AI technologies and security practices
• Participation in industry forums and standard-setting

Pay

$240,000 – $360,000 annually

Schedule

N/A

Location

San Francisco, CA - US based candidates only, no visa sponsorship available