Vertical AI · Email security AI
Currently tracking 6 active AI roles, up 65% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$259k (avg $196k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer II - Behavioral Security Products Machine Learning Engineer II for the Account Takeover Detection team at Abnormal AI, focusing on building and productionizing ML models for behavioral security and cybersecurity attack detection. The role involves data analysis, feature engineering, model development, evaluation, and monitoring of production systems within a commercial environment. | AgentData | 8 |
| Senior Software Engineer - Full Stack - Portal Platform Full-stack engineer for a portal platform team at an AI-native company. The role involves designing and building backend services, frontend libraries, and developer tooling to support customer, end-user, and demo portals. Responsibilities include owning infrastructure, driving performance and quality standards, and mentoring junior engineers. The role requires strong experience in React, Python/TypeScript, cloud infrastructure, and API design, with an emphasis on delivering complex, cross-team projects. |
| — |
| 5 |
| Software Engineer 2 - Full Stack - Portal Platform Software Engineer to join the Portal Platform team at an AI-native company. The role focuses on building and maintaining backend services, frontend libraries, and developer tooling for customer, end-user, and demo portals. Responsibilities include platform-level software projects, infrastructure concerns (CI/CD, observability), and driving frontend quality standards. The role emphasizes enterprise-grade stability, security, and usability, enabling application teams to develop components utilizing AI-driven workflows. | — | 5 |
| Senior Software Engineer (Backend) - Behavioral Security Products Senior Backend Software Engineer for Abnormal AI's Account Takeover (ATO) protection product. This role focuses on developing and operating the infrastructure, ML models, customer-facing APIs, and internal tools that drive the ATO protection product. The engineer will own complex feature delivery, technical design, and evolving the platform to scale, aiming to enhance system reliability, reduce latency, and accelerate feature release cycles. Requires strong backend Python skills, experience with large-scale system design, relational databases, modern data storage, service-to-service communication, caching, AWS, and containerization. | — | 5 |