Engineering Manager

March 15

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MixMode

MixMode is a cutting-edge cybersecurity company pioneering the future of threat detection and response with its advanced AI-powered platform. Its platform, built on 'Third Wave AI,' autonomously learns network behavior to detect known and novel cyber threats in real-time, without the need for human intervention or predefined rules. MixMode's technology can identify and respond to threats across cloud, on-premise, and hybrid environments, making it a trusted choice for Security Operations Centers (SOCs) looking to enhance efficiency and reduce alert fatigue. The company aims to revolutionize cybersecurity through its unique self-learning AI, providing unmatched protection against modern cyberattacks, including zero-day and AI-generated threats.

Network Visibility โ€ข Advanced Threat Hunting โ€ข Anomaly Detection โ€ข Incident Response โ€ข Automation

11 - 50 employees

๐Ÿ”’ Cybersecurity

๐Ÿค– Artificial Intelligence

๐Ÿ’ฐ $45M Series B on 2022-03

๐Ÿ“‹ Description

โ€ข MixMode is the leader in delivering AI cybersecurity solutions at scale โ€ข Looking for a dynamic Engineering Manager to lead AI strategy and development โ€ข Help build AI development infrastructure and set technical standards โ€ข Expert in building AI models from time-series data and production โ€ข Identify and prioritize AI projects of high business impact โ€ข Collaborate effectively with product owners โ€ข Define technical direction and architecture for AI platform โ€ข Oversee implementation and continuous deployment of AI platform โ€ข Develop engineering strategies and best practices โ€ข Mentor and grow a world-class team of engineers and data scientists

๐ŸŽฏ Requirements

โ€ข 5+ years of experience managing one or more engineering teams utilizing Scrum/Agile โ€ข 3+ years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts โ€ข 3+ years of experience with managing a team of data scientists, ML and AI researchers and engineers creating production ready algorithms โ€ข Strong foundation in statistical platforms such as Python, R, SAS, or MatLab โ€ข Strong programming skills in Object-Oriented and Functional programming styles in languages such as Python, Java, and Scala โ€ข Strong Knowledge of the theory and applications of AI, time series data (e.g. understanding of Koopman operator theory), data science, unstructured data analytics, supervised/unsupervised learning โ€ข Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects โ€ข Experience in data visualization solutions and data visualization tools is a plus

๐Ÿ–๏ธ Benefits

โ€ข Remote-First Work Culture โ€ข Healthcare (Medical, Dental, Vision) โ€ข Basic & Voluntary Life and AD&D โ€ข Flexible Spending Account (FSA) โ€ข 401(k) with Employer Match โ€ข Paid Holidays & Flexible Paid Time Off (PTO) โ€ข Employee Assistance Program (EAP)

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