MixMode is the leader in delivering AI cybersecurity solutions at scale and is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. MixMode offers a patented, self-supervised learning Platform designed to detect known and unknown threats in real-time across cloud, hybrid, or on-prem environments. Large enterprises with big data environments, including global entities in financial services, Fortune 1K commercial enterprises, critical infrastructure, and government sectors, trust MixMode to protect their most critical assets. Backed by PSG and Entrada Ventures, the company is headquartered in Santa Barbara, CA. Learn more at www.mixmode.ai.
Job Title: Engineering Manager
Location: Santa Barbara, CA or Remote
Job Summary:
We are looking for a dynamic Engineering Manager to continue to develop new applications and systems for the MixMode platform. You will lead a team who is helping chart our AI strategy and define the problems that we are solving with AI in cybersecurity. You will help build our AI development and production infrastructure and set our technical standards. To succeed, this individual must become an expert in building AI models from time-series data and putting those models into production.
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
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
- Experience in data visualization solutions and data visualization tools is a plus
We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. Pursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range. The salary range that we are targeting for this position is $180,000-$250,000 though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location.
Compensation and benefits are competitive based on industry standards. Benefits for full-time team members include:
- 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)
MixMode provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Disability and Reasonable Accommodations | E-Verify | Right to Work
Please note: MixMode does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of MixMode.
Top Skills
What We Do
MixMode is a no-rules-required Cybersecurity platform, serving large enterprises with big data environments across a variety of industries. MixMode delivers a patented, self-learning platform that acts as the Cybersecurity Intelligence Layer℠ to detect both known and unknown attacks, including novel attacks designed to bypass legacy cyber defenses. This is accomplished in real-time, across any cloud or on-premise data stream. Trusted by global entities in banking, public utilities and government sectors, industry cyber leaders rely on MixMode to protect their most critical assets. The platform dramatically improves the efficiency of SOC teams previously burdened with writing and tuning rules and manually searching for attacks. The MixMode platform can be deployed remotely, with no appliances, in under an hour with business outcomes evident within days. Backed by PSG and Entrada Ventures, the company is headquartered in Santa Barbara, CA.
