PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future.

Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization.

Senior Product Manager for AI and Automation PagerDuty is redefining how modern engineering and operations teams work. PagerDuty’s Automation Platform includes Workflows, Actions, Connectors, and a growing agentic layer built on Skills and Tools. This is the backbone of how teams eliminate toil, respond to incidents autonomously, and ultimately enable AI-native SRE agents.

As Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products and lead the roadmap for the agentic automation experience we’re building for autonomous SRE agents. This is a high-visibility, high impact role that sits at the intersection of developer tooling, enterprise operations, and frontier AI product design. You will report directly to the Senior Director of Product Management for the AI Automation group and will partner tightly with engineering, design, GTM, and enterprise customers.

Key Responsibilities

Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-premises deployments. Lead product definition for the agentic layer of PagerDuty’s automation platform — the Skills, Tools, and Connectors that enable AI agents to act autonomously in production environments. Define the model for how autonomous SRE agents interact with automation primitives: invoking runbooks, triggering Actions, calling external APIs via Connectors, and escalating when confidence is low.

Work closely with engineering to define the trust, safety, and audit boundaries required before automation can act on behalf of an agent rather than a human. Partner with AI/ML teams and external model providers to ensure PagerDuty’s agentic experience is differentiated by domain — leveraging deep SRE context rather than generic automation. Own the customer-facing surface of agentic authorization — ensuring permissions, audit logs, and scoping controls are a natural and frictionless extension of current enterprise permissioning models.

Identify and close gaps in the current platform by synthesizing customer feedback, usage data, competitive signals, and engineering constraints into a coherent strategy.

Qualifications

5+ years of product management experience shipping customer-facing software at scale; SaaS B2B strongly preferred. Deep fluency in the SRE and DevOps domain — you understand how on-call rotations work, what makes a runbook effective, and what it means to operate production systems. Hands-on experience with workflow automation, integration platforms, job schedulers, or infrastructure tooling.

Ability to think clearly about authorization models — you don’t need to write policy engine code, but you must be able to reason about principals, permissions, scopes, and trust delegation in conversations with security architects and enterprise customers. Strong technical aptitude: comfortable reading API specs, digging into telemetry, and holding substantive conversations with senior engineers.