Perplexity
Perplexity is seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services.
Responsibilities
Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse Perform adversary hunting to detect abuse and misuse of our products and services Analyze how our products and services are being misused or abused Track and mitigate cost impacts of fraud and abuse across our technology stack Research and anticipate emerging abuse techniques to stay ahead of evolving threats Generate actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor tactics targeting LLM systems Build and maintain relationships with external threat intelligence partners and industry communities Establish best practices, tools, and processes for our fraud and abuse detection program Qualifications
Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems Background in security, adversarial machine learning, threat intelligence, or fraud investigations Familiarity with adversarial tactics, techniques, and procedures (TTPs) targeting AI systems Excellent communication skills, able to present to both technical and non-technical audiences Our cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity is part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse Perform adversary hunting to detect abuse and misuse of our products and services Analyze how our products and services are being misused or abused Track and mitigate cost impacts of fraud and abuse across our technology stack Research and anticipate emerging abuse techniques to stay ahead of evolving threats Generate actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor tactics targeting LLM systems Build and maintain relationships with external threat intelligence partners and industry communities Establish best practices, tools, and processes for our fraud and abuse detection program Qualifications
Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems Background in security, adversarial machine learning, threat intelligence, or fraud investigations Familiarity with adversarial tactics, techniques, and procedures (TTPs) targeting AI systems Excellent communication skills, able to present to both technical and non-technical audiences Our cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity is part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
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