Engineering Manager

Summary

Join MixMode, a leader in AI cybersecurity solutions, as an Engineering Manager. You will lead a team developing new applications and systems for our platform, charting our AI strategy, and building our AI development infrastructure. This role requires expertise in building AI models from time-series data and deploying them into production. You will oversee engineering activities, implement best practices, mentor a team, and stay current on AI and cybersecurity innovations. The ideal candidate possesses extensive experience in managing engineering teams, machine learning, and data science, along with strong programming and statistical skills. MixMode offers a competitive salary and benefits package.

Requirements

• 5+ years of experience managing one or more engineering teams utilizing Scrum/Agile
• 3+ years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 3+ years of experience with managing a team of data scientists, ML and AI researchers and engineers creating production ready algorithms
• Strong foundation in statistical platforms such as Python, R, SAS, or MatLab
• Strong programming skills in Object-Oriented and Functional programming styles in languages such as Python, Java, and Scala
• 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
• Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects

Responsibilities

• Identify and prioritize AI projects of high business impact including both product-related and research projects
• Collaborate and communicate effectively with product owners representing different product lines
• Help define technical direction and architecture of the AI platform
• Oversee the implementation and continuous deployment of the AI platform
• Oversee all engineering activities and projects, ensuring alignment with company goals and objectives
• Develop and implement engineering strategies, best practices, and processes
• Coordinate with internal teams, including product sales engineering, and operations
• Monitor and optimize the quality and performance of our models
• Mentor, recruit and grow a world-class team of engineers, data scientists, and team leads
• Continuously learn and apply the latest innovations and best practices in AI and cybersecurity
• Build a culture of continuous learning, growth, and sharing of technological insights

Preferred Qualifications

Experience in data visualization solutions and data visualization tools is a plus

Benefits

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