Most conversations about AI in engineering focus on how the IC role is changing, but the engineering leadership role is adapting too. Today's leaders are expected to absorb more context, make higher-quality decisions, stay hands-on, and create clarity across a growing surface area, all within the same finite time. This session explores practical ways to use AI as a leadership multiplier without outsourcing judgment, accountability, or the human work of leadership.

Head of Engineering, Capital @ Stripe
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