PagerDuty Appoints John DiLullo as CEO Amid Push Into AI Operations
PagerDuty appointed John DiLullo as CEO as the company expands its AI-first operations platform and enterprise automation strategy.
PagerDuty has appointed John DiLullo as Chief Executive Officer, effective May 11, according to a company announcement published Monday. DiLullo succeeds Jennifer Tejada, who led the company since 2016 and has transitioned to Executive Chair of the Board.
The leadership change comes as PagerDuty accelerates its positioning around AI-driven operational infrastructure and autonomous incident management across enterprise environments. In the announcement, the company reaffirmed its fiscal year 2027 guidance and said it expects full-year revenue between $488.5 million and $496.5 million.
The company said DiLullo’s appointment followed a board-led succession planning process. He previously served as CEO of cybersecurity company Deepwatch and earlier led LiveVox and Lastline before their acquisitions. Prior to those roles, he held senior positions at Cisco, Aruba Networks, Forcepoint, and Avaya.
PagerDuty currently serves more than 35,000 customers, including approximately two-thirds of the Fortune 100 and more than half of the Fortune 500, according to the company’s announcement. The company has increasingly framed its platform as operational infrastructure for AI-native software systems and enterprise automation environments.
In a LinkedIn post announcing the transition, DiLullo described PagerDuty as “the leading control plane for the development of modern AI solutions.”
AI Operations Becomes Core Enterprise Battleground
PagerDuty’s leadership transition arrives during a broader shift in enterprise software toward AI-driven operational orchestration, autonomous remediation, and agent-based infrastructure management.
Over the past year, the company has expanded beyond traditional incident response tooling into AI-first operations management. Its recent Operations Cloud updates introduced AI agents designed to automate investigation, diagnostics, and remediation workflows across enterprise systems. The company outlined those capabilities in its Spring 2026 product release announcement.
That transition reflects a wider enterprise trend toward operational AI systems that move beyond dashboards and alerts into automated decision-making and execution layers. Similar shifts are emerging across enterprise orchestration frameworks, where vendors are positioning operational context and workflow coordination as critical infrastructure for AI-native environments.
PagerDuty has also increasingly emphasized AI governance and operational resilience as enterprises deploy larger numbers of autonomous systems into production workflows. The company’s platform currently integrates with more than 700 systems across enterprise technology environments, according to its product documentation.
Enterprise Vendors Race To Build AI Control Layers
The competitive landscape around enterprise operations software has shifted rapidly as AI agents become embedded into infrastructure management, observability, cybersecurity, and engineering workflows.
Enterprise vendors and startups are increasingly building systems that automate incident response, operational triage, and workflow coordination. That includes a growing category of AI-native incident management companies focused on engineering operations and infrastructure resilience.
PagerDuty has positioned its platform at the center of that transition. In the company announcement, DiLullo said increasingly complex digital environments and AI-enabled software development would expand demand for intelligent, real-time operations management.
Tejada also pointed to accelerating AI momentum during the transition announcement. She said the company had seen stabilization in customer retention, growth in expansion business, and continued momentum around its AI-first Operations Cloud platform.
The company expects to report first quarter fiscal year 2027 earnings on May 28.