We are seeking an experienced Development Manager to lead the design, development, and integration of AI/ML-driven solutions into FortiAnalyzer, enhancing its security analytics and automation capabilities. This role requires a strong background in AI/ML model development, security data analysis, and software engineering, as well as leadership experience in managing development teams.
Key Responsibilities
- Lead the development and integration of AI/ML-powered features into FortiAnalyzer, focusing on security analytics, anomaly detection, and automated threat response.
- Manage and mentor a team of software developers and data scientists, ensuring the successful delivery of AI/ML solutions.
- Oversee the entire AI/ML pipeline, including data collection, preprocessing, model training, deployment, and performance optimization.
- Collaborate with security experts, product managers, and cross-functional engineering teams to align AI/ML initiatives with business and product goals.
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment.
- Stay up to date with AI/ML advancements, security threats, SIEM/SOAR trends, and industry best practices to drive innovation.
Basic Requirements
- Bachelor’s or higher degree in Computer Science, AI/ML, Data Science, or a related field.
- Hands-on experience in AI/ML model development, training, and deployment for real-world applications.
- Strong background in data science or data engineering, including data processing, feature engineering, and model optimization.
- Proficiency in Python, scikit-learn, TensorFlow/PyTorch, and data processing frameworks.
- Work experience in security data analysis, SIEM (Security Information and Event Management), or SOAR (Security Orchestration, Automation, and Response).
- Proven experience leading and managing a development team to deliver AI/ML solutions integrated into a product.
Bonus Skills
- Experience with C/C++, GO, Java or Scala for performance-critical applications.
- Experience working with log analytics, cybersecurity, and Fortinet security solutions.
- Knowledge of database, data warehouse and data lakehouse.
- Knowledge of big data processing frameworks such as Apache Spark, Hadoop.
The Canada base salary range for this full-time position is expected to be between $110,000 - $150,000 annually. Wage ranges are based on various factors including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience.
Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.
All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion.
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
Skills Required
- Bachelor's or higher degree in Computer Science, AI/ML, Data Science, or related field
- Hands-on experience in AI/ML model development, training, and deployment for real-world applications
- Strong background in data science or data engineering including data processing, feature engineering, and model optimization
- Proficiency in Python, scikit-learn, TensorFlow or PyTorch, and data processing frameworks
- Work experience in security data analysis, SIEM, or SOAR
- Proven experience leading and managing a development team to deliver AI/ML solutions integrated into a product
- Experience with C/C++, Go, Java or Scala for performance-critical applications
- Experience with log analytics, cybersecurity, and Fortinet security solutions
- Knowledge of database, data warehouse and data lakehouse
- Knowledge of big data processing frameworks such as Apache Spark, Hadoop
Fortinet Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortinet and has not been reviewed or approved by Fortinet.
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Affordable Benefits — Medical coverage includes a no-premium HDHP option with HSA funding alongside PPO/HMO choices, reducing employee costs at enrollment. Eligibility starts on the date of hire and includes company-paid life and disability coverage.
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Wellbeing & Lifestyle Benefits — Mental-health access through Modern Health and an EAP offers therapy, coaching, and counseling resources. Lifestyle extras such as legal assistance, commuter benefits, pet-insurance discounts, and subsidized meals and snacks enhance everyday support.
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Strong & Reliable Incentives — Compensation packages include annual bonuses, sales commissions, and stock awards. Earnings potential can be strong in sales when quotas are realistic and attainment is high.
Fortinet Insights
What We Do
Fortinet develops and sells cybersecurity solutions.








