Engineering Leadership LIVE Event in San Francisco

2026-05-04 · Source: Engineering Leadership · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Fundamental Awareness, quick

Summary

Engineering Leadership LIVE," a free event co-hosted by Augment Code, is scheduled for May 26th in San Francisco. This evening gathering is specifically designed for engineering leaders who are navigating the profound and rapid changes brought about by artificial intelligence, experiencing both excitement and apprehension regarding its impact on their evolving job descriptions. The event aims to foster critical conversations among peers, featuring insights from three speakers, followed by dedicated networking opportunities and refreshments. Given the limited number of available spots, prospective attendees are strongly encouraged to register promptly to secure their participation in this timely discussion.

Key takeaway

For Directors of AI/ML or VPs of Engineering grappling with AI's transformative impact on team structures and leadership responsibilities, you should prioritize engaging with industry peers. Attending "Engineering Leadership LIVE" on May 26th in San Francisco offers a direct opportunity to gain insights from three speakers and network with others facing similar challenges, helping you refine your strategy for adapting to AI-driven changes. Register promptly due to limited availability.

Key insights

Engineering leaders face rapid job evolution due to AI, requiring peer conversation and shared understanding.

Principles

• AI is rapidly changing engineering leadership roles.
• Leaders experience both excitement and dread regarding AI.
• Peer interaction is crucial for navigating AI's impact.

In practice

• Attend "Engineering Leadership LIVE" event.
• Engage with peers on AI's impact.
• Seek insights from expert speakers.

Topics

• Engineering Leadership
• AI Impact
• Professional Networking
• San Francisco Events
• Augment Code
• Career Development

Best for: Director of AI/ML, VP of Engineering/Data, CTO

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Editorial summary, takeaway, and curation by AIssential. Original article published by Engineering Leadership.