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.
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…)