AI Tech Leader's Club, Q1 2026

Name: AI Tech Leader's Club, Q1 2026
Start: 2026-03-25T17:30:00.000-07:00
End: 2026-03-25T21:00:00.000-07:00
Location: Sunnyvale, California

AI Tech Leaders' Club

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Sunnyvale, California

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This event is sold out and no longer taking registrations.

About Event

Security Update: This event is strictly sold out. Only approved guests on the Luma app will be admitted.

Beyond the Pilot: Lessons in Scaling AI Across the Enterprise

Speakers

Srinivas Narayanan, OpenAI, CTO of B2B Applications, leads the development of large-scale AI systems and agentic platforms, ex-Meta
Mita Mahadevan, Pinterest, VP of Engineering, ex-{Amazon, Apple, Intuit, Ning}
Pravir Gupta, Google Cloud, VP & GM, Previously led the team that created Google Assistant
Tarun Jain, Walmart, SVP eCommerce, former executive at Google, Twitter, and Flipkart.
Emercan Dogan, Glean, Chief Product Officer, former product leader at Stripe and LinkedIn.
Siddharth Shah, Palo Alto Networks, VP Data, Analytics and AI, ex-{Google, Adobe}

Moderator

Sendil Thangavelu, Amazon Lens AI , Head of Engineering, Ex-Toyota.

Participants

Eligible attendees are current or recent (within three years) senior technology leaders, including CxOs, VPs, Heads of AI/Engineering/Product, Staff/Distinguished Engineers, AI-focused Fund GPs, and similar roles.

Approval decisions are based on attendees' LinkedIn profiles.

Format

🎤⭐ Panel Discussion with top industry experts
💡👥 Collaborative Brainstorming on how to navigate AI’s next phase
🌐🤝 High-Caliber Networking with peers from major tech companies

Food

🧀🍷 Gourmet food & drinks will be served throughout the event.

Agenda

5:30 - 6:00 PM
Check-in and Networking
6:00 - 7:00 PM
Panel Discussion: Beyond the Pilot: Lessons in Scaling AI Across the Enterprise
7:00 - 8:00 PM
Small Group Brainstorming: Tackling Individual Challenges
8:00 - 9:00 PM
Networking

Cost

The event is free but requires approval based on your LinkedIn profile (see section Participants above).

Discussion Topics

💰 The P&L Reality: How do you move AI from a "lab experiment" to a non-negotiable driver of P&L and enterprise value?

🤖 The Hybrid Org: What does a high-performing engineering team look like when the workload is split 50/50 with autonomous agents?

🪜 The Talent Hollow: How will you train the next generation of senior architects if AI eliminates all "junior-level" learning tasks?

🧩 Strategic Sovereignty: How can leaders leverage top-tier AI ecosystems today without falling into a terminal trap of vendor lock-in?

🛡️ Automated Governance: Can we replace manual oversight with "guardrails-as-code" that scale alongside the velocity of AI-generated software?

📉 The Defensibility Moat: In an era of instant "vibe-coded" prototypes, which technical or data moats are VCs truly valuing in 2026?

📜 The End of Syntax: Should your 2030 strategy focus on specific programming languages or "intent-driven" natural language orchestration?

🚀 From Pilots to Backbone: How do you transition from scattered AI use cases to a unified, agentic architecture that powers the whole enterprise?