About the Role
Abnormal AI is seeking an experienced Engineering Manager to lead our Aggregates Systems team, which owns some of the most mission-critical infrastructure in the company. These systems sit at the core of our detection architecture, transforming raw behavioral signals into high-quality aggregate datasets that directly power security decisions across all Abnormal products.
The Aggregates Systems operate at extreme scale—processing tens of billions of events per day and approaching one million events per second at peak—and correctness, availability, and timeliness are non-negotiable. In this role, you will manage and grow a team of engineers responsible for building, operating, and evolving large-scale batch and real-time aggregation systems that Abnormal’s detection, messaging, and customer trust depend on. You will partner closely with engineering, data science, product, and infrastructure teams to ensure these systems remain reliable, performant, and scalable as the company grows.
What You’ll Do
Technical & Systems Leadership
- Own the technical direction, reliability, and long-term evolution of aggregation systems spanning both batch and real-time processing.
- Guide architectural decisions for distributed data processing, storage, and retrieval systems with strict correctness, latency, and availability requirements.
- Ensure aggregation systems consistently meet SLAs for data freshness, accuracy, and uptime across detection and messaging use cases.
- Act as a senior technical steward for systems whose failure or inaccuracy would have direct customer and security impact.
People Management & Team Development
- Manage, mentor, and develop a team of software engineers working across batch and streaming aggregation systems.
- Foster a culture of technical excellence, operational ownership, and continuous improvement.
- Support career growth through coaching, feedback, and clear performance expectations.
Cross-Functional Collaboration
- Partner with Detection Engineering, Data Science, Product, and Infrastructure teams to translate detection requirements into scalable aggregation capabilities.
- Collaborate with stakeholders to define roadmaps that balance feature delivery with system stability and long-term maintainability.
- Serve as a technical and organizational point of accountability for aggregation syst