Offer summary

Qualifications:

5+ years of experience managing engineering teams using Scrum/Agile methodologies., 3+ years of experience in Machine Learning, AI, and Data Science with a proven track record., Strong programming skills in Python, Java, and Scala, with a foundation in statistical platforms., Demonstrated commitment to learning about AI through personal initiatives..

Key responsabilities:

Identify and prioritize high-impact AI projects, both product-related and research-focused.

Collaborate with product owners to define technical direction and architecture of the AI platform.

Oversee implementation and continuous deployment of the AI platform, ensuring alignment with company goals.

Mentor and grow a team of engineers and data scientists while fostering a culture of continuous learning.

Job description

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.

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