Abnormal AI
Vertical AI · Email security AI
- HQ
- San Francisco, US
- Founded
- 2018
- Website
- abnormal.ai
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).
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.
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 |
|---|---|---|
| AI Product Builder This role focuses on building and shipping AI-powered internal solutions for go-to-market functions, leveraging LLMs and agent frameworks. The individual will own the AI transformation strategy for a GTM function, define roadmaps, lead technical design, and deliver production-grade automations. The role requires a blend of product thinking, technical AI understanding, and hands-on execution, with direct communication to executive leadership. | AgentShip | 8 |
| AI Product Builder This role focuses on building and shipping AI-powered internal solutions for go-to-market functions, leveraging LLMs and agent frameworks to drive operational efficiency and reshape how sales, marketing, or customer success teams operate. The candidate will own the AI transformation strategy, translate vision into a roadmap, lead technical design, and deliver production-grade automations, communicating directly with executive leadership. | Agent | 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 |