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The Engineering Manager will lead the detection internal tools team responsible for developing platforms and tools that enhance detection systems, analyze misclassifications, ensure data quality for machine learning models, and streamline customer feedback processes. The role requires collaboration with cross-functional teams, mentoring engineers, and driving project execution aligned with company strategies.

The Recruiting Coordinator at Abnormal Security will manage interview scheduling, organize interview processes, maintain candidate information, and serve as a primary contact for candidates. The role requires proficiency in recruitment tools and excellent organizational and communication skills to ensure a smooth recruitment experience.

The Technical Support Engineer (TSE) provides frontline support for customers in a cybersecurity-focused SaaS company. Responsibilities include troubleshooting product issues, ensuring timely responses, and escalating issues as needed. The TSE must effectively communicate with customers, prioritize case management, and contribute to knowledge base documentation.

The Senior Software Engineer will lead the design and development of secure and scalable backend systems, focusing on applications for cybersecurity products. Responsibilities include managing project ownership, technical leadership, collaboration across teams, and ensuring code quality through testing and code reviews.

The Software Engineer II will enhance detection systems, improve data quality for machine learning models, automate processes for customer feedback, and collaborate across teams to develop effective software solutions. They will focus on rule-based email detection and analysis tools while ensuring efficient operation and management of technical requirements.

The Software Engineer II - Backend will lead the Customer Journey team by designing, developing, and maintaining systems that enhance user experiences. The role involves building APIs, conducting tests, debugging applications, and collaborating with cross-functional teams to deliver complex features and solutions.

The Analytics Engineer will manage and enhance the DBT analytics pipeline, ensuring its reliability and performance. Responsibilities include developing data models, collaborating with stakeholders, ensuring data compliance with regulations, and innovating solutions for the analytics infrastructure.