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Jennifer Tejada, Executive Chair of PagerDuty, discussed the company's role as the 'control plane for operations' for large enterprises, serving over two-thirds of the Fortune 100 and half of the Fortune 500. She emphasized that AI fails differently than software, requiring automated detection and AI-driven correlation. Tejada highlighted the importance of being proactive, or 'shifting left,' to prevent failures. She cited 35,000 customers, with 2,500 added in the last year and 600 in the last quarter. Tejada explained that PagerDuty's proprietary context, built from over 10 years of incident data, enables agents to compress resolution times from days to seconds. She announced integrations with Claude, Cursor, and Anthropic as part of 30 AI partnerships, stressing the value of neutrality. For 2026, she plans to demonstrate agent fidelity and resilience at scale.
Key takeaways
PagerDuty serves over two-thirds of the Fortune 100 and half of the Fortune 500.
Added 2,500 customers in the last year and 600 in the last quarter, totaling 35,000.
Announced integrations with Claude, Cursor, and Anthropic as part of 30 AI partners.
Proprietary context from 10 years of incident data compresses resolution from days to seconds.
Technology that we as a human condition rely on is getting more and more complex, more diversified, and is changing at a more rapid velocity than we've ever seen, in such a way that humans can't manage it without some level of automated detection.
AI is the topic du jour at the 2026 HumanX conference in San Francisco, which the New York Stock Exchange is a partner. Joining me now is Jennifer Tejada. She is the CEO and chairperson of Pager Duty. It is an AI-first operations company. Welcome.
Yeah, thank you, Ashley. What it means for large enterprise — and we work with more than two-thirds of the Fortune 100 and over half of the Fortune 500, as well as some of the most important AI startups in the world — what operations looks like now is very different than it looked two decades ago. Most of our customers' entire brand experience relies heavily on an increasingly complex technology ecosystem. When that technology fails, the brand fails their end customer. They struggle with the ability to both predict, prevent, manage, diagnose, and manage major issues when those systems fail. And they do fail. We've all as consumers experienced a moment in the last week or last month where a brand we were depending on had a technology failure or a security issue, and that resulted in us not being able to complete the transaction or get the brand experience we wanted. The challenge with AI is that it fails differently than software. When software fails, it often results in downtime; you know there's a problem. When AI fails, you may not see it initially. It could be a large language model drifting, giving incomplete or untrue answers from your generative AI solution, or an agent doing something unexpected with business impact. So understanding telemetry all the observability our customers use to understand the state of the technology ecosystem, diagnose issues, respond, and prevent them from happening again — that is what the operations control plane is for most of our large customers.
Absolutely. The vast majority of our customers are not only trying to respond better and build stronger enterprise resilience — react better when things go badly, learn, and prevent those issues from happening again — but do what we call shift left. They want to get more proactive, identifying events or dependencies that could fail and address them before they fail. That prevention is really an investment in ongoing, sustainable reliability. When you fail, it doesn't just cause operational expense and wasted time; it can impact customer loyalty, drive regulatory compliance fines, slow down e-commerce revenue, or stop revenue generation.
Oh, there's so many. DevOps is one: when developers build software or agents and ship them into production, they want to preempt failure, test, and if it fails, be the first to know, triage, diagnose, recover, and learn to build stronger services. Another is IT operations: many customers have central IT with situation centers that respond to issues. In a transportation or airline business, when technology fails, planes are grounded, travelers stuck. So managing that process faster, not just reacting but preventing reoccurrence and removing fragility. We have large chip manufacturers using us for supply chain automation, medical organizations to communicate with healthcare providers, and social impact customers to advance their mission by automating operations.
Tejada, J. (2026, May 5). HumanX 2026: PagerDuty CEO Jennifer Tejada on the Importance of AI Partnerships [Interview transcript]. New York Stock Exchange. CEOInterviews.AI. https://ceointerviews.ai/interview/1054762/
MLA
Jennifer Tejada. "HumanX 2026: PagerDuty CEO Jennifer Tejada on the Importance of AI Partnerships." New York Stock Exchange, 5 May. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1054762/.
BibTeX
@misc{tejada2026_1054762,
author = {Jennifer Tejada},
title = {HumanX 2026: PagerDuty CEO Jennifer Tejada on the Importance of AI Partnerships},
howpublished = {Interview transcript, New York Stock Exchange. CEOInterviews.AI},
year = {2026},
month = {may},
url = {https://ceointerviews.ai/interview/1054762/},
note = {Speaker-attributed transcript with timestamps}
}
