Summary
AI has fundamentally altered software delivery and lowered the barrier to team-level experimentation, yet unanchored autonomy can quickly lead to strategic drift and organizational friction. Modern engineering leadership requires navigating this tension—fostering a culture of fearless exploration while keeping every team moving toward shared business goals. This discussion centers on how leaders must adapt their decision-making frameworks to grant autonomy without sacrificing accountability. We will candidly discuss the habits leaders need to unlearn, how to define clear guardrails for micro-experiments, and ways to measure true impact over hype. Attendees will walk away with actionable insights on guiding high-performing teams through rapid AI adoption while keeping overall strategy tightly aligned.
Host
Abhishek Sharma
Senior Engineering Manager @ Atlassian
I am an engineering leader specializing in large-scale change management, software release systems, and experimentation platforms for enterprise software delivery. I have led initiatives focused on security, operational reliability, and developer velocity, with a particular interest in feature flagging and data-driven engineering practices. I am passionate about building scalable processes that enable organizations to innovate rapidly while maintaining customer trust.
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