Senior Product Manager

PagerDuty offers a competitive salary, a comprehensive benefits package, and flexible work arrangements designed to support you. The role provides company equity, an Employee Stock Purchase Program, and a retirement plan, alongside generous paid time off, holidays, and sick leave. You’ll join a culture that values wellbeing with companywide wellness initiatives, paid parental leave, volunteer time off, and recurring hack weeks, all while contributing to a mission-driven, collaborative environment.

The Senior Product Manager for AI and Automation will own the strategy and roadmap for the agentic automation experience across cloud SaaS and on‑premises deployments. This high‑visibility role sits at the intersection of developer tooling, enterprise operations, and frontier AI product design.

Benefits

• Competitive salary
• Comprehensive benefits package
• Flexible work arrangements
• Company equity*
• ESPP (Employee Stock Purchase Program)*
• Retirement or pension plan*
• Generous paid vacation time
• Paid holidays and sick leave
• Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
• Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
• Paid volunteer time off: 20 hours per year
• Company-wide hack weeks
• Mental wellness programs

Responsibilities

• Define and drive the multi-year roadmap for Workflows and Actions, covering both cloud-delivered SaaS and on-prem 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 a curiosity-driven approach to learning their needs; not afraid to ask for help
• Strong customer empathy and a curiosity-driven approach to learning their needs
• Technologies: Kubernetes