Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
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
- 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
- Strong data analysis skills, able to identify patterns and anomalies within large datasets
- Understanding of both technical and behavioral signals to support effective fraud prevention strategies
- Excellent communication skills, able to present to both technical and non-technical audiences
