AI Developer Experience Lead (HCMC)

The AI Development Experience Lead will be responsible for leading a small team dedicated to researching, experimenting with, and integrating AI-powered tools into our software development lifecycle. You’ll identify promising trends through focused R&D, validate them with hands-on exploration, and work closely with engineering teams to drive successful adoption. This is a leadership role combining technical insight, strategic planning, and change facilitation—shaping both our practices and our culture as we evolve into an AI-augmented engineering organization. 

Essential Functions:

  • AI R&D and Strategy
    • Lead R&D efforts to identify, assess, and stay ahead of AI trends, tools, and best practices that can enhance developer productivity and experience.
    • Develop and drive a strategic roadmap to prioritize and sequence high-impact AI opportunities across the engineering lifecycle.
  • Proof of Concept, Alignment, and Adoption
    • Partner with engineering, product, and data science teams to run proofs of concept, pilot AI tools in real workflows, and ensure solutions are adopted and integrated effectively.
    • Align AI initiatives with cross-functional goals, ensuring solutions address genuine developer needs and organizational priorities.
  • Impact Measurement and Continuous Improvement
    • Define, track, and communicate success metrics to measure the impact of AI adoption on team efficiency, quality, and outcomes.
    • Establish and maintain fast feedback loops with developers, using insights to continuously refine and optimize AI tool integrations.
  • Team Leadership and Cultural Enablement
    • Build and lead a high-impact team focused on AI-driven developer experience improvements.
    • Champion a culture of experimentation and learning, encouraging teams to embrace new, AI-augmented ways of working.

Profile

The most successful candidates for this role will have: 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Extensive experience in software engineering, with a deep understanding of development processes, tools, and best practices.
  • Proven expertise in AI and machine learning, particularly in applications related to software development.
  • Demonstrated experience leading technical teams and managing projects.
  • Excellent communication and interpersonal skills, with the ability to influence and inspire others.
  • Strategic thinking and the ability to develop and execute technology roadmaps.
  • Familiarity with modern software development practices.
  • Experience with AI tools and platforms relevant to software development.
  • Strong analytical skills to measure and interpret the impact of AI initiatives.

Preferred Qualifications

  • Experience in change management and driving technology adoption within organizations.
  • Background in developer productivity or developer experience roles.
  • Contributions to the AI or software development community (e.g., publications, open-source projects…)
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