Engineering Manager Aggregates Systems
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 scaleprocessing tens of billions of events per day and approaching one million events per second at peakand correctness availability and timeliness are 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 Abnormals 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 Youll 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 systems.
Operational Excellence
- Drive strong operational practices including monitoring alerting incident response and post-incident analysis.
- Improve observability data quality validation and resiliency across batch and real-time systems.
- Ensure systems scale efficiently as data volume customer footprint and use cases expand.
Systems Youll Own
Aggregates System
- In Online systems the team operates low-latency aggregation systems designed to process high-throughput event data with strict timeliness guarantees.
- Composed of event producers a Kafka-based event stream and a signals stack including ingestion and storage update services.
- Enable fast flexible retrieval of aggregate values for security and messaging applications.
- In Offline systems the team operates batch processing systems that transform large volumes of raw behavioral signals (e.g. emails and user activity) into comprehensive aggregate datasets.
- Operate on scheduled cadences and support long lookback windows for historical analysis and trend detection.
- Play a foundational role in determining whether messages are safe or malicious by powering detection logic and models.
What Were Looking For
Required Qualifications
- 5 years of software engineering experience with 2 years in an engineering management role.
- Strong experience designing and operating distributed data-intensive systems.
- Hands-on familiarity with batch processing and/or real-time streaming systems (e.g. Kafka Spark Flink Beam).
- Proven ability to lead complex high-impact technical initiatives and make sound architectural tradeoffs.
- Excellent communication skills and experience working cross-functionally.
Preferred Qualifications
- Experience building or owning mission-critical aggregation or signals systems.
- Familiarity with data correctness quality guarantees and observability in production environments.
- Experience in security messaging or other high-reliability SaaS domains.
- Track record of scaling systems and teams in fast-growing organizations.
#LI-ML1
Required Experience:
Manager
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Advanced email protection to prevent credential phishing, business email compromise, account takeover, and more.
