Oct 8, 2026 — 12:00 – 1:00 PM PT
AI as an Engineering Leadership Multiplier
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.
This session is a part of the Guest Lecture: Leadership in Engineering series. Views expressed are the speakers' own, not Anthropic's.
주요 연사
Sudheer Anne
Head of Engineering, Capital @ Stripe
학습 내용
Leverage AI to rapidly synthesize complex technical, organizational, and business context into key decisions, risks, and open questions that require attention.
Improve decision quality by using AI as a thought partner to pressure-test decisions, challenge assumptions, and surface alternatives.
Identify recurring leadership tasks that can be turned into repeatable AI-assisted workflows that compound over time.
Apply AI without giving up the parts of leadership that still require human judgment, accountability, trust, and authentic communication.