---
title: "Jason Lopatecki"
category: "people"
role: "CEO"
company: "Arize"
linkedin: "https://www.linkedin.com/in/jason-lopatecki-9509941/"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Jason Lopatecki

## Profile
CEO at [[arize|Arize]].

- [LinkedIn](https://www.linkedin.com/in/jason-lopatecki-9509941/)

## Biography
Jason Lopatecki is co-founder and CEO of [[arize|Arize]] AI, an AI & Agent observability and evaluation company. He is a garage-to-IPO executive with an extensive background in building marketing-leading products and businesses that heavily leverage analytics. Prior to [[arize|Arize]], Jason was co-founder and chief innovation officer at TubeMogul where he scaled the business into a public company and eventual acquisition by Adobe. Jason has hands-on knowledge of big data architectures, programmatic advertising systems, distributed systems, and machine learning and data processing architectures. In his free time, Jason tinkers with personal machine learning projects as a hobby, with a special interest in unsupervised learning and deep neural networks. He holds an electrical engineering and computer science degree from UC Berkeley - Go Bears!

## Conference Sessions
- [[2026-06-30-jason-lopatecki-from-signal-to-pr-anatomy-of-a-self-improving-agent]] — From Signal to PR: Anatomy of a Self-Improving Agent (2026-06-30, 11:10am-11:30am)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-30-jason-lopatecki-from-signal-to-pr-anatomy-of-a-self-improving-agent|From Signal to PR: Anatomy of a Self-Improving Agent]]

### Media Signals
No linked video, transcript, or slide source has been attached yet.