AI-Native Software Engineering Director
New
USFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- CI/CDDevOps
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
Responsibilities
- 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
- Evaluate and implement emerging AI development tools, coding agents, and productivity platforms
- Define and institutionalize AI-native engineering standards, practices, guardrails, and quality frameworks
- Develop AI-enabled quality engineering approaches to improve testing, validation, code review, and production readiness
- Establish metrics and measurement systems to assess productivity, quality, developer experience, and delivery performance
- Create playbooks, frameworks, and enablement materials to standardize successful AI-native practices
- Coach and support engineers and technical leaders in adopting AI-driven workflows and practices
- Define responsible AI usage policies for code generation, security, compliance, and maintainability
- Partner with cross-functional and executive stakeholders to align AI transformation with business objectives
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