About the Role
At Abnormal Security, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats.
This position represents a unique opportunity to contribute significantly to our mission of providing unparalleled detection capabilities worldwide. The team’s mission revolves around empowering our detection team with high-quality data and cutting-edge tools, ensuring that all misclassifications can be easily assessed and analyzed. The strategic approach encompasses the development of essential detection tools, improved misclassification comprehension, and enhanced communication with customers. Core components the team owns include the rule based email detection engine, analysis tools for misclassification understanding and flow comprehension, data quality for ML model analysis and training and the platform for customer interaction of detection concerns.
What you will do
- Enhance the speed and quality of detection systems development.
- Power pipelines to process and respond to customer feedback responsibly.
- Supply detection teams with top-notch, accurate data used for evaluating and training ml models.
- Automate processes to improve customer responses.
- Develop, design, modify, and test systems for enhanced data quality and understanding.
- Collaborate with Technical Program Managers, Product Managers, Data Engineers, Data Scientists, and operational and engineering teams to implement, verify, and iterate on product development.
- Exercise sound judgment in selecting methods and techniques for problem-solving.
- Writes code with testability, readability, edge cases, and errors in mind.
- Writes and reviews technical design documents.
Must Haves
- Proficient in Python, Databricks, Airflow, Django, React and Postgres.
- Familiarity with large-scale solutions or environments that involve complex integrations, demanding latency requirements, or significant throughput challenges.
- Adept at performance debugging and benchmarking to ensure efficient operation of applications.
- Proven ability to translate business requirements into detailed software requirements, effectively articulating systems design to technical and non-technical stakeholders alike.
- Experience in identifying, analyzing, and resolving complex technical issues, demonstrating a methodical approach to troubleshooting and problem-solving.
- Proven experience working effectively with cross-functional teams, demonstrating the ability to collaborate with a diverse range of stakeholders.
- Ability to lead and motivate team members, setting high standards and expectations for project execution, both for themselves and their collaborators.
- A Bachelor of Science degree in Computer Science, Applied Sciences, Information Systems, or a closely related engineering field.
- Professional Experience:
- At least 5 years of professional, production-level experience in full-stack development, showcasing a comprehensive understanding of both front-end and back-end technologies.
Nice to Have
- MS degree in Computer Science, Electrical Engineering or other related engineering field
- Experience with algorithms and optimization
- Familiarity with cyber security industry
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Top Skills
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
