AI-Native VP of Software Engineering
New
C
CXT SoftwareLogistics SaaS
Ottawa, Ontario / Calgary, Alberta / Edmonton, Alberta / Winnipeg, Manitoba / Kitchener-Waterloo, Ontario / Halifax, Nova Scotia / Victoria, British Columbia, Regular overlap with North American business hoursFull-TimeVp
SalaryOTE $150,000/year USD
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Job Details
- Languages
- Professional English
- Experience
- 12+ years in software engineering, including 5+ years in engineering leadership and 2+ years managing managers.
- Required Skills
- AzureRelease ManagementCI/CD
Requirements
- Have a degree in Computer Science or a related field, or equivalent experience.
- Bring 12+ years in software engineering, including 5+ years in engineering leadership and 2+ years managing managers.
- Have led a multi-team engineering organization through managers across several products with separate codebases, including legacy modernization.
- Have led engineering for a B2B SaaS product and owned production operations through a team, including reliability, on-call, incidents, security operations, and cloud cost.
- Use AI coding assistants and agents in production work and have led their adoption across multiple teams with measured results.
- Have designed and run engineering experiments with baselines, success metrics, and clear decision criteria.
- Have hands-on experience with flow-based delivery such as Kanban at scale, CI/CD, automated testing, and release management.
- Continue to read code and review architecture; experience with the company's stack is a plus.
- Have led a remote, distributed engineering organization.
- Have professional English and be available for regular overlap with North American business hours.
Responsibilities
- Lead, hire, and develop Directors, architects, and their teams, and set the hiring bar.
- Make AI-assisted development, testing, review, and operations standard across the organization; verify adoption through real behavior and coach leaders and senior engineers through the change.
- Run engineering experiments with baselines and clear scale, modify, or stop decisions.
- Own quality, releases, and production reliability, including uptime and SLAs, on-call, incidents, security operations, and cloud cost.
- Own architecture across products, including legacy modernization and standards for AI-generated code.
- Plan and deliver the roadmap with Product, raise trade-offs early, and drive customer escalations to root cause with Customer Success.
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