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About This Role
PagerDuty is seeking a Senior Product Manager for AI and Automation to own product strategy and execution across Operations Cloud SaaS and on-premises automation products. The role involves leading the roadmap for the agentic automation experience and partnering with engineering, design, GTM, and enterprise customers. The ideal candidate has 5+ years of product management experience, deep fluency in SRE and DevOps, and hands-on experience with workflow automation. The Senior Product Manager will define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-premises deployments, and lead product definition for the agentic layer of PagerDuty’s automation platform.
Key ResponsibilitiesAI-extracted
- 1Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-premises deployments.
- 2Lead 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.
- 3Define 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.
- 4Work 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.
- 5Partner 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.
RequirementsAI-extracted
- 5+ years of product management experience shipping customer-facing software at scale; SaaS B2B strongly preferred.
- Deep fluency in the SRE and DevOps domain — understanding 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 — reasoning 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.
Perks & BenefitsAI-extracted
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