Attackers impersonate employees to manipulate human workflows — calling the help desk to reset credentials, sending proxy candidates through hiring, and gaining access through the people and processes that existing security controls don’t cover.
imper.ai stops those attacks at the source. The platform combines infrastructure-layer environment detection with AI-driven work-familiarity verification, embedded directly in the workflows where impersonation happens.
About the Role: We’re hiring a hands-on Security Researcher to dive deep into browsers, renderers, and network stacks to uncover how systems expose subtle signals and behaviors across privacy and anonymization boundaries. You’ll explore what can be inferred about external infrastructure, design, and validate data-driven techniques, and turn research into working prototypes and production systems. This role is highly collaborative with engineering and product — perfect for someone with an attacker’s mindset, a strong sense of ownership, and a drive to turn complex technical exploration into real-world impact.
