Senior Product Manager

PagerDuty PagerDuty · Enterprise · San Francisco, CA · Product Management

PagerDuty is seeking a Senior Product Manager to define product strategy and execution for their Operations Cloud SaaS and on-premises automation products, focusing on the agentic automation experience for autonomous SRE agents. This role involves leading the roadmap for agentic layers, defining how autonomous agents interact with automation primitives, and ensuring trust, safety, and audit boundaries.

What you'd actually do

  1. Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-premises deployments.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • agentic automation experience
  • autonomous SRE agents
  • agentic layer
  • Skills and Tools
  • act autonomously
  • autonomous SRE agents interact
  • trust, safety, and audit boundaries
  • agentic experience
  • agentic authorization

Other signals

  • AI/ML and Automation
  • agentic layer
  • autonomous SRE agents
  • Skills and Tools