AI-Native VP of Software Engineering, Canada-based (CAD $260,000/year)

cxtsoftware; United States; Remote; USD 230,000 - 420,000; Full time

Benefits offered by this job

Fully remote engagement

Flexible hours

Access to AI engineering tools

Job summary

cxtsoftware is seeking an experienced leader to head engineering and SaaS operations across multiple products. You will guide AI-assisted development, testing, review, and operations, and measure impact on quality, reliability, and customer outcomes.

You will hire and develop directors and managers, drive adoption of AI coding tools, and own production reliability, incident response, and cloud spending. You will set architectural direction and coordinate roadmap delivery with Product teams.

Qualifications

• Bachelor's degree or equivalent experience.
• 12+ years in software engineering with at least 5 years in leadership.
• Experience leading multiple teams and managing managers.
• Experience with AI coding tools adoption across teams.

Responsibilities

• Lead directors, architects, and engineering teams across products.
• Drive AI-assisted development, testing, review, and operations adoption.
• Own release quality, reliability, on-call, and security operations.
• Set architecture direction including legacy modernization.
• Coordinate roadmap delivery with Product and resolve escalations.
• Manage cloud spending and production outcomes.

Skills

Strategic leadership

AI/ML tooling

Cloud architecture

CI/CD & release engineering

Distributed teams management

Education

Bachelor's degree in Computer Science

Job description

Role overview

Lead engineering and SaaS operations across multiple products, with responsibility for the teams, architecture, delivery practices, and production outcomes. A central part of the role is making AI-assisted development, testing, review, and operations part of everyday engineering work, then measuring its effects on quality, reliability, delivery speed, and customer outcomes.

Responsibilities

• Lead, hire, and develop directors, architects, and engineering teams, maintaining clear expectations for hiring and performance.
• Guide organization-wide adoption of AI coding tools and agents, coaching leaders and engineers and assessing adoption through observed work.
• Run engineering experiments with baselines, success measures, and explicit decisions about whether to expand, adjust, or stop.
• Own release quality and production reliability, including uptime, service commitments, on-call, incident response, security operations, and cloud spending.
• Set architecture direction across products, including legacy modernization and standards for AI-generated code.
• Coordinate roadmap delivery with Product and work with customer-facing teams to resolve escalations at their root cause.

Requirements

• A computer science or related degree, or equivalent experience.
• 12 or more years in software engineering, including at least five years leading engineering and two years managing managers.
• Experience leading multiple teams through managers across several products and codebases, including modernization of legacy systems.
• Leadership of a B2B SaaS engineering organization with team ownership of production operations.
• Current production use of AI coding assistants or agents, plus experience leading measured adoption across multiple teams.
• Experience designing engineering experiments and using flow-based delivery at scale, with CI/CD, automated testing, and release management.
• Experience leading a remote, distributed engineering organization; ability to review code and architecture.

Nice to have

• Background as a software architect or Staff/Principal engineer.
• Experience with logistics, routing, dispatch, courier, or healthcare operations software; Azure, infrastructure as code, SRE, SOC 2, or FinOps.
• Experience integrating acquired teams, leading across business units, or building AI-enabled product features.

Benefits and work setup

• Fully remote, global independent-contractor engagement with flexible, asynchronous hours; the listing states this arrangement is not eligible for employer-sponsored benefits.
• Access to AI engineering tools and a mandate to shape their use, plus professional growth support, shared tools and playbooks, and virtual community activities.