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 |
|---|---|---|
| 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 Marketing Data Analyst This role focuses on building and training AI agents to automate data analysis and transition from static reporting to dynamic, AI-driven insights. The primary responsibility is to lead the development of an 'AI Analyst' system, including building and maintaining the semantic layer and training AI agents to answer data questions and suggest next steps. The role also involves strategic insights, root cause analysis, and ensuring data integrity within the marketing technology stack. | AgentData | 7 |
| Software Engineer II — AI Transformation Engineering Software Engineer II on the AI Transformation Engineering team to build and extend the internal AI platform (Nora). This role involves shipping services, factories, and sandboxes for internal teams to deploy AI workflows, integrating AI into existing internal systems (Salesforce, Jira, data warehouses), and standing up net-new infrastructure. The focus is on building platforms that others build on, designing for handoff, and owning measurable business outcomes. | AgentServe | 7 |
| 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 |