Job Title

We are looking for an Enablement Execution Lead to drive the on-ground training and adoption of AI-powered development tools across engineering teams. In this role, you will be the face of the AI-SDLC program , delivering hands-on training, engaging with engineers, and ensuring that learning translates into real-world adoption. You will work closely with cross-functional teams to bridge the gap between training design and actual usage. This is a high-impact, execution-focused role requiring strong facilitation skills, technical understanding, and the ability to manage diverse engineering audiences. Key Responsibilities 1. Training Delivery & Facilitation Deliver live training sessions, workshops, and hands-on labs for engineering teams. Facilitate modules across all training waves (awareness to advanced use cases). Run live lab sessions using tools like Windsurf, Claude Code, and Claude Chat . Manage session logistics including environment setup, access, and troubleshooting. Adapt training delivery based on real-time feedback and learner engagement. 2. Champion Network Engagement Act as the primary point of contact for the change champion network . Conduct onboarding and regular check-ins with champions. Coach champions to drive adoption within their teams. Identify and nurture new champions among early adopters. 3. Adoption Support & Feedback Track engagement and adoption trends post-training. Gather and analyze feedback after each session. Share insights, risks, and resistance patterns with program leadership. Capture success stories and use cases to support program communication. 4. Collaboration with L&D Partner closely with the Client L&D team to co-create and refine training plans. Align on cohort planning, scheduling, and delivery approach. Share feedback, attendance data, and observations for continuous improvement. Support L&D teams in building internal training capability for long-term sustainability. 5. Content & Curriculum Support Collaborate with the content team to refine training materials and labs. Test and validate lab environments before delivery. Provide insights on learner challenges to improve future training waves. 6. Reporting & Coordination Maintain attendance, completion, and performance tracking. Share regular updates on training progress, learner sentiment, and risks. Support final handover including documentation and transition to L&D teams. What You’ll Deliver Training sessions and workshop execution across all program waves Adoption insights, feedback reports, and engagement metrics Champion network development and handover Training runbooks and transition support for L&D Required Skills & Experience 5+ years in training delivery, technical enablement, or L&D roles Proven experience delivering training to engineering or developer audiences Hands-on familiarity with AI developer tools / coding assistants Strong facilitation and stakeholder management skills Ability to manage live sessions and troubleshoot in real-time Experience working in cross-functional environments Experience in change management or technology adoption programs Familiarity with ADKAR or similar frameworks Experience partnering with L&D teams for training design Background in enterprise or SaaS engineering environments Relevant certifications (e.g., Prosci, ATD)