Abnormal AI is a behavioral AI security platform that protects email, identity, and AI—and stops insider threats. Trusted by 5,000 organizations. Backed by Greylock, Insight and Menlo.
About the role
At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email attacks. We protect our customers against adversaries who constantly evolve their techniques and tactics to outwit and undermine traditional email security approaches. That’s what makes our novel behavioral- based approach so…Abnormal. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related engineering field
- At least 2 years of experience in software design and development
- Experience with backend services or data-intensive applications where reliability and performance matter
- Strong programming skills in a general-purpose language and knowledge of data structures and software design
- Experience with automated tests and diagnosis of production issues through logs and metrics
- Ability to turn a product requirement into a practical design and deliver it with guidance on larger technical decisions
More about this role
At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email attacks. We protect our customers against adversaries who constantly evolve their techniques and tactics to outwit and undermine traditional email security approaches. That’s what makes our novel behavioral- based approach so…Abnormal. Abnormal has constantly been named as one of the top cybersecurity startups and our behavioral AI system has helped us win various cybersecurity accolades resulting in being trusted to protect more than 15% of the Fortune 500 (and ever growing).
As a Software Engineer II, you will build customer-facing security features and the software that supports them. Projects may include detection services or AI agents that use models and software tools to investigate suspicious activity. Other projects support model development and evaluation, mostly driven by automated agentic loops.
You will collaborate closely with ML Engineers, Data Scientists, and fellow Software Engineers to turn new approaches into reliable production systems and in turn help us catch more attacks and improve security investigations while limiting false...
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