Abnormal AI
Vertical AI · Email security AI
- HQ
- San Francisco, US
- Founded
- 2018
- Website
- abnormal.ai
Vertical AI · Email security 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).
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 |
| 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 |
| AI Product Engineer AI Product Engineer responsible for building and extending agent platform capabilities, shipping GTM tooling, and owning reliability and observability for AI agent systems in an enterprise context. The role involves working at the intersection of platform engineering and direct product delivery, enabling non-technical users to set up LLM workflows and collaborating with AI Product Managers. | AgentServe | 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 |
| 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 |
| Senior Software Engineer - App Foundations Senior Backend Engineer for App Foundations team at an AI-native company. This role focuses on owning core customer-centric data and platform services, including the LLM inference platform (LMS). Responsibilities include designing and operating high-performance services, leading end-to-end delivery of platform features, improving reliability and observability, contributing to the LLM inference platform (model routing, provider integrations, batch inference, safety rails), and building AI-native internal tools. The role emphasizes daily use of AI coding tools and shipping AI-powered solutions beyond IDEs. Requires strong backend engineering experience, system design, and experience with AI tools and LLM production environments. | ServeAgent | 7 |
| Senior Software Engineer - App Foundations Senior Backend Engineer for App Foundations team at an AI-native company. Owns core customer-centric data and platform services, including the LLM inference platform (LMS). Role involves designing, building, and operating high-performance services, leading end-to-end delivery of platform features, and raising the operational bar for reliability and observability. Contributes to LMS by working on model routing, provider integrations, batch/async inference, cost attribution, and safety rails. Builds AI-native internal tools for team operations. Requires strong backend engineering experience, system design, and demonstrated daily use of AI coding tools. Experience with LLMs in production is a plus. | ServeAgent | 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. | ShipData | 7 |