Senior Product Manager

PagerDuty is a leader in Digital Operations Management, helping organizations deliver a perfect digital experience to their customers. As a Senior Product Manager for AI and Automation, you will own product strategy and execution across our Operations Cloud SaaS and on-premises automation products, leading the roadmap for the agentic automation experience for autonomous SRE agents.

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

Requirements:

• 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
• Track record of managing ambiguous, multi-stakeholder roadmaps from vision through GA
• Excellent written and verbal communication; can distill complex platform trade-offs for both technical and executive audiences
• Familiarity with UI/UX best practices, usability testing, and interpreting user research to inform roadmap decisions and feature development
• Track record of building positive working relationships with engineering, UX design and teams outside of product development
• Passion for getting things done (and for things you haven't done, you are naturally curious, driven to learn, and unafraid to ask for help)
• Strong customer empathy and a curiosity-driven approach to learning their needs
• Experience building or shipping AI/ML-powered product features, LLM integrations, or agentic systems
• Prior work with authorization frameworks
• Background at an observability, incident management, or ITSM company
• Familiarity with on-premises or hybrid deployment models (Kubernetes operators, air-gapped environments, enterprise security reviews)
• Experience with connector/integration ecosystems or low-code/no-code builder products
• MBA a plus