Remote VP of Software Engineering — AI-Native SaaS Leader

CXT Software

Municipio de Rincón de los Sauces

Remote

ARS 276,974,000 - 461,624,000

Full time

37 hours ago
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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

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.

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