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Data Engineering + AI Leadership Summit 2026
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Data Engineering + AI Leadership Summit 2026

Monday 2 November 2026, 13:00Venue time (Los Angeles)
Convene 100 StocktonDirections
Price on the ticket pageTickets sold by luma.com
Sold out — view event pagevia luma.com
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Downloads an .ics file · Times are in America/Los_Angeles · Google Calendar

🚨 Read Before You Apply: Only these breakout sessions still have seats for new attendees (other sessions are at capacity):

2:35–3:25 PM: How Should We Build Open Standards for Data & AI?

3:30–4:20 PM: What Comes Next in Open Storage to Support AI Workloads

4:25–5:15 PM: What Does It Take to Build Agentic Factories Beyond Code? OR Customer-Facing Analytics, Now With Agents: What’s Worth Building?

Join data, engineering, and AI leaders for open, candid discussions on the pressing challenges in modern organizations.

Visit the official website for more information.

Who Should Attend

Staff+ Engineers

Engineering Managers

Directors & VPs

Heads of Data & AI

Open Source Maintainers

Technical Founders & CTOs

Program Committee

The program is curated by our Program Committee. Please look forward to the opportunity to connect with them at the event:

Chris Colburn, Director, Data Engineering @ OpenAI

Jerry Wang, Principal Data Software Engineer @ Google DeepMind

Michelle Winters, Founder @ Global Organization of Open Data

Nathan Towery, Senior Director of Data Engineering @ Meta

Paul Ellwood, Head of Data Engineering @ OpenAI

Xinran Waibel, Head of Data Engineer Things Community

How Registration Works

Attendance is limited and carefully curated. To apply, complete the registration form and share a few details about yourself. If your registration is approved, you will receive a confirmation email in 1-2 weeks.

Agenda

See the full agenda on our website.

​Sponsors

Thank you to our sponsors for making this community event possible. Interested in sponsoring? Let us know here.

Payment

When you submit your application, Luma will place a temporary hold on your payment method. You will not be charged unless your application is approved.

​Contact

If you have any questions, please email [email protected].

ℹ️ About Data Engineer Things

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