Patrick Eze
VP of Engineering
Mixpanel
Patrick Eze is VP of Engineering at Mixpanel, where he leads the engineering teams building Mixpanel's AI-powered analytics features. He joined Mixpanel four years ago to lead backend infrastructure and has spent the last two years shifting his focus almost entirely to AI — specifically to the problem of making analytics AI that data teams actually trust and use every day.
The AI features his team has shipped at Mixpanel are now used daily by Mixpanel's own internal data team — a useful test that Patrick considers more meaningful than any external benchmark. Getting there required rethinking not just the models but the way results are surfaced, explained, and made actionable inside a product built around numbers and charts.
At BuildWithAI Summit, Patrick appears twice — an opening Day 2 keynote on the features that changed how Mixpanel's own data team works, followed by an afternoon deep dive on the product decisions behind them. Together the two sessions form a complete picture of how to build AI analytics features that earn genuine adoption inside a data-driven team.
Session
AI-Assisted Analytics — Features Your Team Can't Live Without
Day 2
Engineering
How Mixpanel's engineering team built AI features directly into their analytics product — the ones their own data team now refuses to work without. Patrick covers the build-vs-buy decisions, the model choices, and the surprisingly simple feature that drove the most adoption.
Session
AI-Assisted Analytics Deep Dive
Day 2
Product
A deeper follow-up to the morning keynote — a detailed walkthrough of how Mixpanel's product team designed, tested, and iterated on their AI analytics features. Includes user research findings, the three features that didn't make the cut, and what the roadmap looks like next.
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Available until August 1, 2026 or offer Sold Out
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