VP of Software Engineering, AI-Native

This is a fully remote position, open to applicants in Argentina, +6 more countries.

📋 Description

• Oversee the recruitment, development, and management of Directors, architects, and their teams while establishing and maintaining high hiring standards.

• Establish AI-assisted development, testing, review, and operational processes as the standard organizational practice.

• Ensure AI integration is validated through actual behaviors instead of relying solely on dashboards, providing guidance to leaders and skeptical senior engineers throughout the transition.

• Conduct engineering experiments with established baselines and clear scaling parameters, making necessary modifications or halting decisions as required.

• Take responsibility for quality, releases, and production reliability, which includes uptime, service level agreements (SLAs), on-call duties, incident management, security operations, and cloud cost management.

• Manage architecture across various products, focusing on legacy modernization and establishing standards for AI-generated code.

• Collaborate with Product to plan and execute the roadmap, proactively addressing trade-offs and investigating customer escalations to identify root causes alongside Customer Success.

• Report directly to the CTO and oversee the engineering and SaaS operations organization comprehensively.

⛳️ Requirements

• A degree in Computer Science or a related discipline, or equivalent professional experience.

• A minimum of 12 years in software engineering, with at least 5 years in engineering leadership roles and 2 years managing other managers.

• Proven experience in leading a multi-team engineering organization through managers across multiple products with distinct codebases, including legacy modernization efforts.

• Background in leading engineering for a B2B SaaS product and managing its production operations through a team, focusing on reliability, on-call responsibilities, incident resolution, security operations, and cloud cost management.

• Familiarity with the current use of AI coding assistants and agents in production environments, with a demonstrated ability to lead their adoption across diverse teams with quantifiable results.

• Experience in designing and conducting engineering experiments with established baselines, success metrics, and clear decision-making criteria.

• Practical experience with flow-based delivery methods (such as Kanban) at scale, including CI/CD practices, automated testing, and release management.

• Capability to read code and assess architecture; knowledge of .NET, C#, JavaScript/TypeScript, Angular, SQL, MAUI, and Azure PaaS is advantageous.

• Experience in leading a remote and distributed engineering organization.

• Proficient in professional English with regular availability aligned with North American business hours.

• Desirable: Background as a software architect or Staff/Principal engineer; experience in logistics, routing, dispatch, courier, or healthcare operations software; familiarity with Azure managed services, infrastructure as code, SRE, SOC 2, or FinOps; experience in acquisition integration or multi-business-unit engineering; and knowledge of AI-enabled product features like embedded agents, MCP connectors, or AI vision.

🏝️ Benefits

• Access to cutting-edge AI engineering tools and platforms, with a genuine opportunity to influence their application throughout the organization.

• Fully remote work environment, open to global talent.

• Flexible working hours with an emphasis on asynchronous collaboration.

• Clearly defined growth opportunities with consistent and constructive feedback aimed at achieving career objectives.

• Availability of leading tools, playbooks, and technologies from the Ionic portfolio.

• A vibrant community offering coffee chats, happy hours, cooking classes, book clubs, and various other activities.