Abnormal AI
Vertical AI · Email security AI
- HQ
- San Francisco, US
- Founded
- 2018
- Website
- abnormal.ai
Vertical AI · Email security AI
Abnormal AI currently has 12 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with serving infrastructure accounting for another 33%. Engineering is the dominant function, with 10 roles, and hiring is primarily concentrated in the United States. Frequent technology tags include model serving, agent orchestration, and LLM observability, suggesting a focus on deploying and managing AI models. In the last 30 days, Abnormal AI has added 6 new AI roles, a 100% increase from the previous 30-day period.
Currently tracking 8 active AI roles, with 33 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$259k (avg $190k).
Abnormal AI currently has 9 active AI-related roles in our index. The most common open titles are: Software Engineer II - Model Platform (2), Machine Learning Engineer II, Machine Learning Engineer II - Behavioral Security Products, Senior Engineer, Enterprise Platforms, Senior Marketing Data Analyst. Most positions are in Engineering and Product.
Abnormal AI's active AI hiring is concentrated in: agents (56%), application (22%), serving infrastructure (22%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Abnormal AI is hiring AI talent in: United States (7 roles), United Kingdom (1 role), India (1 role).
Job postings at Abnormal AI most frequently reference: model serving, agent orchestration, inference infra, rag, tool use.
In the past 30 days, Abnormal AI has posted 2 new AI-related roles. That is a -67% change versus the prior 30 days (6 → 2).
| Title | Stage | AI score |
|---|---|---|
| Senior Engineer, Enterprise Platforms Senior Engineer, Enterprise Platforms to build and operate AI agents, copilots, and automations for IT and security functions. The role involves turning policies into AI workflows, integrating with enterprise platforms, and ensuring governance, evaluation, and observability for AI services. | Agent | 7 |
| Machine Learning Engineer II Machine Learning Engineer II to join the Message Detection - Attack Detection team, focusing on building a high-recall detection engine for cybersecurity threats. The role involves designing and implementing systems that combine rules, models, and feature engineering to improve detection efficacy, working with automated retraining pipelines, and analyzing data to identify and address capability gaps. The goal is to protect customers from evolving cyber adversaries by operating detection systems at high recall and low latency. | Ship |
| 7 |
| Senior Software Engineer - Platform Engineering (Fed Ops) Senior Software Engineer for Platform Engineering focused on building and evolving the FedRAMP High cloud infrastructure for Abnormal AI's GovCloud environment. This role involves designing and maintaining reusable infrastructure as code (IaC) using Terraform, managing Kubernetes workloads, ensuring compliance with security requirements, and improving operational leverage. The engineer will also mentor other team members and help adopt AI-assisted workflows. | — | 5 |
| Technical Program Manager - AI & Data Systems Technical Program Manager to lead delivery of high-impact programs across AI Platform and Data Systems teams, focusing on AI governance, data foundation for AI agents, AI outcomes analytics, and new agent/platform rollouts. The role involves defining processes, driving outcomes, and aligning stakeholders, with an emphasis on using AI tools to solve delivery challenges. | — | 5 |
| Senior Credit & Collections Specialist This role is for a Senior Credit & Collections Specialist who will be responsible for managing the end-to-end collections process, aging and reporting, customer relationship management, escalation and dispute management, write-off and bad debt management, and process documentation. The role will leverage AI-powered tools and platforms to automate repetitive tasks, improve efficiency, and identify opportunities for AI-assisted process improvements. The ideal candidate will have experience in collections, AR, ERP systems, and using AI platforms to enhance work quality and efficiency. | — | 5 |
| Software Engineer II - Model Platform Software Backend Engineer II to join the Detection Team, focused on building and maintaining Model Serving infrastructure and data processing services to support a world-class Detection Engine. The role involves scaling services to handle increased traffic and owning real-time data pipelines. | Serve | 5 |
| Software Engineer II - Model Platform Software Backend Engineer II to join the Detection Team, focused on building and maintaining Model Serving infrastructure to support a world-class Detection Engine. The role involves scaling model serving and data processing services, owning real-time data pipelines, and collaborating with ML/Data Science teams. | Serve | 5 |
| Software Engineer II, Messaging Security Products Full Stack Software Engineer II to join the Messaging Security Products (MSP) division, focusing on enhancing core offerings in Email Security and threat visibility. The role involves building and maintaining products, with a primary focus on back-end development, to improve threat visibility and support SOC workflow automation. | — | 5 |
| Senior Software Engineer - Product Engineering (Identity Security) Senior Software Engineer to build a platform for securing the identity explosion caused by cloud adoption and AI agents. The role involves shipping code, collaborating on technical direction, gathering customer feedback, and setting engineering standards for an early-stage product. | — | 5 |
| Senior Software Engineer, Adaptive Classification Team Senior Software Engineer to join the Adaptive Classifications Team, which operates AI Security Mailbox and Detection 360 products. The role focuses on automating security analysts' workflows with agentic products, involving full-stack development across data storage, detection efficacy, backend, and frontend. Requires expertise in backend systems, distributed computing, and event-driven architecture, with a strong emphasis on Python/Go and AI tools. | Agent | 5 |
| Sr. Embedded Detection Analyst This role focuses on optimizing the performance of an AI detection engine for enterprise customers by analyzing misclassification patterns, implementing tuning strategies, and demonstrating measurable improvements in detection KPIs. It involves working with security operations, customer success, and detection engineering, leveraging AI-powered tools to drive customer value and contribute to the program's operational playbook. | Ship | 5 |
| Software Engineer II - Inline Mailflow Software Engineer II to join the Inline Mailflow team, building next-generation SMTP relay infrastructure for outbound email security. This role involves designing and implementing core components of the relay harness, collaborating with PMs and Solutions Architects, and owning/operating tier-0 mail flow services. Requires strong backend and distributed systems experience, with a focus on email infrastructure in a 0-to-1 build environment. | — | 0 |
| Software Engineer II - Inline Mailflow Software Engineer to build and operate next-generation SMTP relay infrastructure for email security. Focus on backend and distributed systems experience in a 0-to-1 environment. | — | 0 |
| Staff Software Engineer, Security & Privacy Staff Software Engineer focused on Security & Privacy for an AI company's Multi-Product Platform. The role involves owning the Security & Privacy vision, driving high-impact initiatives, evolving technical strategies, and translating business problems into actionable roadmaps. Key responsibilities include shaping technical direction with pragmatic security principles and AI-native strategies, driving end-to-end delivery of large-scale projects, and mentoring other engineers. Requires strong software design fundamentals, expertise in Authentication, Authorization, and Security & Privacy, and proficiency in Golang and Python. Experience in infrastructure, data platform, or machine learning is a plus. | — | 0 |