AI Agent Abuse Prevention Engineer

Job Description:

  • Own detection, mitigation, and governance of abuse stemming from AI agents across Zendesk’s products and customer integrations.
  • Lead threat modeling for AI agent features, integrations, and APIs.
  • Design and prototype mitigation controls in collaboration with engineering teams.
  • Build anomaly detection rules, telemetry, and behavioral analytics.
  • Act as a subject-matter expert for investigations involving AI agents.
  • Collaborate with various stakeholders for compliance and mitigation support.

Requirements:

  • 10+ years of professional experience in cybersecurity, software engineering, or ML security with demonstrable hands-on experience.
  • Deep understanding of application/API security, OAuth/token lifecycle, session management, and modern auth patterns.
  • Practical experience with LLMs/agents: understanding of prompt engineering risks, injection attacks, and mitigation approaches for model-based systems.
  • Strong track record leading cross-functional technical initiatives and influencing product decisions.
  • Excellent communication skills — can translate technical risk into product, legal, and business terms.
  • Experience at a SaaS company with a customer support platform.

Benefits:

  • Competitive salary
  • Bonus eligibility
  • Flexible work arrangements
  • Professional development opportunities
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