AI-Native Software Engineering Director, @Sparkrock
BulgariaAll locationsBulgariaSerbiaPolandRomaniaHungaryCzech RepublicUkraine Remote
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About the role
Sparkrock is looking for an AI-Native Software Engineering Director to lead that transformation. This is not a traditional software engineering leadership role focused on roadmap execution, release management, or managing a large reporting line. You will design and run experiments across software development and quality engineering, evaluate emerging AI engineering tools and agentic workflows, establish AI-Native development and QA standards, and coach engineers and engineering leaders to unlock materially higher levels of productivity, quality, and innovation. This role offers a unique opportunity to shape the future of software engineering within a global, fully remote organization. You will directly influence how engineering teams use AI-assisted development, coding agents, quality automation, and human-AI collaboration to build exceptional software safely, reliably, and at scale. Success in this role is measured by your ability to help engineering teams achieve measurably better outcomes through AI-Native ways of working, not by the size of the team you manage or the number of tools you introduce.
What you'll bring
- Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.
- 4+ years of software engineering leadership/management experience, directly managing and growing engineering teams.
- 8+ years of hands-on software engineering experience delivering production software systems.
- Strong hands-on software engineering background with experience in modern software development practices and production-grade systems.
- Practical experience using AI-assisted development tools, coding assistants, coding agents, AI-enabled IDEs, AI-powered testing, AI-supported code review, or agentic software development workflows in real engineering environments.
- Experience evaluating and rolling out AI engineering tools, coding agents, test generation tools, code review assistants, documentation assistants, or developer productivity platforms.
- Experience leading engineering transformation, engineering excellence, developer productivity, quality engineering, platform engineering, technical enablement, or software development process improvement initiatives.
- Experience designing, executing, measuring, and scaling experiments that improve engineering productivity, quality, developer experience, or delivery outcomes.
- Experience improving engineering outcomes through process innovation, tooling adoption, productivity initiatives, quality engineering improvements, or organizational transformation.
- Experience driving the adoption of new engineering practices across multiple teams or organizations.
- Experience coaching engineers and engineering leaders through meaningful changes in engineering practices, tools, workflows, or operating models.
- Experience establishing engineering standards, quality bars, operating procedures, usage guardrails, quality frameworks, or operational excellence programs.