AI-Native VP of Software Engineering (OTE $150,000/year USD), CXT Software

CXT Software; Municipio de Rincón de los Sauces; Remote; ARS 276,974,000 - 461,624,000; Full time

Benefits offered by this job

100% remote

Flexible hours

Growth path

Job summary

CXT Software is seeking an AI-Native VP of Software Engineering to lead our remote engineering and SaaS operations. You will own people, architecture, quality, delivery, production reliability, and customer outcomes.

Our stack includes .NET, C#, JavaScript/TypeScript, Angular, SQL, MAUI, and Azure PaaS. Reporting to the CTO, you will shape how we build and run software with AI, measure impact by real behavior, and evolve with evidence.

Qualifications

• 12+ years in software engineering with leadership experience.
• Led Directors, architects, and multi-team orgs through managers.
• Experience with B2B SaaS production operations and reliability.
• Experience using AI coding assistants and AI-enabled features in prod.
• Strong English communications and remote collaboration.

Responsibilities

• Lead, hire, and develop senior leaders and their teams.
• Make AI-assisted development and operations the standard.
• Run engineering experiments with baselines and scale.
• Own quality, releases, and production reliability including incidents.
• Own architecture across products including legacy modernization.
• Plan and deliver roadmaps with Product and manage escalations.

Skills

Leadership

AI adoption

Distributed teams

SaaS leadership

CI/CD

Kanban

Code review

Cloud cost management

Education

Degree in Computer Science

Tools

Azure

Azure PaaS

CI/CD tooling

Monitoring/Observability

Job description

Are you an engineering leader who has scaled a SaaS organization through managers and turned AI-assisted development into measurable results?

CXT Software provides the technology backbone for courier, route delivery, and healthcare logistics companies. Our customers run their daily physical operations on our software, so reliability, predictable delivery, and strong regression control are not optional.

We are looking for an AI-Native VP of Software Engineering to lead our engineering and SaaS operations organization end to end and to define how it builds and runs software in the AI era. You will own people, architecture, quality, delivery, production reliability, and customer outcomes. Our stack is .NET, C#, JavaScript/TypeScript, Angular, SQL, MAUI, and Azure PaaS.

Reporting to the CTO, you will shape how we build and run software with AI, verify adoption through real behavior rather than dashboards, and shape its evolution with evidence. You will be measured on quality, reliability, cycle time, predictability, and customer impact.

If you want to lead a serious engineering organization and define how it works with AI, we would love to hear from you.

Responsibilties

• Lead, hire, and develop Directors, architects, and their teams; set and hold the hiring bar.
• Make AI-assisted development, testing, review, and operations the way the organization works; verify adoption through real behavior, not dashboards; and coach leaders and skeptical senior engineers through the change.
• Run engineering experiments with baselines and clear scale, modify, or stop decisions.
• Own quality, releases, and production reliability: uptime and SLAs, on-call, incidents, security operations, and cloud cost.
• Own architecture across our 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.

Requirements

• Degree in Computer Science or a related field, or equivalent experience
• 12+ years in software engineering, including 5+ years in engineering leadership and 2+ years managing managers.
• Led a multi-team engineering organization through managers, across several products with separate codebases, including legacy modernization.
• Led engineering for a B2B SaaS product and owned its production operations through a team: reliability, on-call, incidents, security operations, and cloud cost.
• Uses AI coding assistants and agents in production work today, and has led their adoption across multiple teams with measured results.
• Designed and run engineering experiments with baselines, success metrics, and clear decision criteria.
• Hands-on experience running flow-based delivery (Kanban or similar) at scale, with CI/CD, automated testing, and release management.
• Still reads code and reviews architecture; experience in our stack is a plus.
• Led a remote, distributed engineering organization; professional English; regular overlap with North American business hours.

Nice to have

• Software architect or Staff/Principal engineer background.
• Logistics, routing, dispatch, courier, or healthcare operations software.
• Azure managed services, infrastructure as code, SRE, SOC 2, or FinOps.
• Integrating teams that join through acquisition, or running engineering across multiple business units.
• Building AI-enabled product features such as embedded agents, MCP connectors, or AI vision.

Benefits

More than just perks, they're part of what makes working at CXT Software great.

• Access to leading AI engineering tools and platforms, and a real mandate to shape how they are used across the organization.
• 100% remote and global: live your best life wherever that may be, and never lose out on career opportunities because of it.
• Flexible work hours: we work asynchronously and care about results and customer satisfaction, not when you’re online.
• Dedicated growth path: consistent, meaningful feedback and support toward your career goals.
• Access to leading tools, playbooks, and technology across the Ionic portfolio.
• Engaging community: coffee chats, happy hours, cooking classes, book clubs, and more.

CXT Software is an equal opportunity employer. This is a fully remote independent contractor engagement and is not eligible for company-sponsored employee benefit programs. We welcome applications from any country where we can lawfully engage you. If you need an accommodation during the application process, you can request it once you apply.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.