AI-Native Software Engineering Director

Role Overview

Lead the transformation of software engineering practices by embedding AI-native principles into how modern engineering teams design, build, test, and deliver software. Focus on defining and operationalizing a new engineering model powered by AI-assisted development, agentic workflows, and data-driven experimentation.

What You Will Do

Design, execute, and evaluate AI-native engineering experiments across development, testing, and delivery workflows. Identify and address engineering bottlenecks using AI-assisted tools, workflows, and automation strategies.

Why It Might Be a Fit

This is a strategic, high-impact role for a leader passionate about redefining the future of software engineering. You will influence how AI is adopted responsibly and effectively across the organization.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 8+ years of hands-on software engineering experience building production-grade systems
• Strong background in modern software engineering practices, including CI/CD, DevOps, testing, and cloud-native development
• Experience using AI-assisted development tools, coding agents, or AI-powered engineering workflows in real production environments
• Proven experience driving engineering transformation, developer productivity, or technical enablement initiatives
• Experience designing and scaling experiments to improve engineering outcomes and organizational performance
• Strong ability to define engineering metrics, interpret results, and drive data-informed decisions
• Experience establishing engineering standards, quality frameworks, and operational best practices
• Excellent coaching, mentoring, and change leadership skills across technical teams
• Strong systems thinking with the ability to optimize complex engineering and organizational workflows
• Ability to clearly communicate technical and strategic concepts to diverse audiences, including executives
• Experience distinguishing durable engineering improvements from short-term technology trends

Benefits

• Fully remote global work environment with flexible working hours and asynchronous collaboration
• Opportunity to define AI-native engineering practices at organizational scale
• Access to cutting-edge AI engineering tools and platforms for experimentation and innovation
• Strong focus on professional growth, continuous learning, and career development support
• Home office setup stipend to support remote productivity
• Collaborative culture including virtual events, knowledge-sharing sessions, and community activities
• Exposure to thought leaders and cutting-edge discussions in AI and software engineering
• Inclusive, diverse, and mission-driven work environment