Job Description

Compensation & Role Details: Expected Salary Range: The expected base salary range for this role is between $160,000 – $175,000 CAD/USD , depending on experience and qualifications

Role Type: New Role

AI Disclosure: AI may be used during the hiring process.

Technology Strategy

Develop and execute Company's long-term technology roadmap aligned with business strategy.

Lead modernization of the platform, including cloud architecture, scalability, performance, and security.

Evaluate emerging technologies and recommend investments that improve competitive advantage.

Establish technology standards, governance, and engineering best practices.

Engineering Leadership

Lead and mentor Software Development, QA, DevOps, Infrastructure, and Architecture teams.

Build a high-performing engineering culture focused on accountability, collaboration, continuous improvement, and innovation.

Recruit, develop, and retain top technical talent.

Establish KPIs to improve engineering effectiveness, quality, and delivery.

Product Innovation

Partner with Product Management to define technical direction for future products.

Drive delivery of scalable SaaS solutions.

Champion customer-focused innovation.

Balance technical debt reduction with new product development.

Artificial Intelligence & Automation

Develop the organization's AI strategy.

Identify opportunities to embed AI capabilities throughout the Company platform.

Evaluate and govern the use of technologies such as: Azure OpenAI Microsoft Copilot Retrieval-Augmented Generation (RAG) Intelligent automation Predictive analytics

Ensure AI solutions are secure, scalable, and aligned with customer needs.





Infrastructure, Security & Operations

Ensure platform reliability, uptime, disaster recovery, and business continuity.

Oversee cloud infrastructure and DevOps practices.

Maintain cybersecurity standards and compliance.

Implement monitoring, observability, and incident response processes.

Cross-Functional Leadership

Partner with: Product Management Professional Services Customer Success Sales Executive Leadership to ensure technology investments align with strategic priorities.

Participate in customer meetings, executive presentations, and strategic planning.

Operational Excellence

Improve software delivery speed while maintaining quality.

Reduce technical debt through disciplined modernization.

Establish engineering metrics including: Deployment Frequency Lead Time Change Failure Rate Platform Availability Mean Time to Resolution (MTTR) Customer Defect Rates

Qualifications Required

- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of progressive software engineering experience.
- 3+ years leading engineering organizations.
- Proven experience delivering enterprise SaaS platforms.
- Experience leading cloud migration and modernization initiatives.
- Strong understanding of:



Microsoft Azure Cloud architecture APIs Microservices CI/CD DevOps Security Scalable system design Experience managing engineering budgets and technology roadmaps.
- Strong executive communication and leadership skills.

Preferred Experience

- within ERP, logistics, transportation, moving & storage, or field service software.
- Experience integrating AI and machine learning into commercial software products.
- Familiarity with Microsoft Copilot, Azure OpenAI, and contemporary AI development frameworks.
- Experience working within a private equity or software portfolio environment.
- MBA or Master's degree is considered an asset.

Leadership Competencies

- Strategic thinking and business acumen
- Technical depth with executive-level leadership
- Customer-first decision making
- Strong organizational and change leadership
- Excellent coaching and mentoring abilities
- Data-driven decision making
- Ownership and accountability
- Continuous improvement mindset

Success Measures (First 12 Months)

- Establish a multi-year technology roadmap aligned with company strategy.
- Improve engineering predictability and delivery velocity.
- Reduce technical debt while accelerating innovation.
- Advance cloud modernization initiatives.
- Launch meaningful AI-enabled product capabilities.
- Improve software quality, platform reliability, and security.
- Strengthen engineering culture through leadership development and talent retention.
- Build stronger alignment between Product, Engineering, Customer Success, and Professional Services.

Business Unit

Efficient Workflow Solutions

Scheduled Weekly Hours: 40

Number o

📌 Chief Technology Officer (Montreal)
🏢 Perseus Group
📍 Montreal