Senior Product Manager

PagerDuty; Toronto; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

PagerDuty is seeking a Senior Product Manager for AI and Automation in Toronto, Ontario. You will define the roadmap for Workflows and Actions, drive product definition for our groundbreaking automation platform, and partner with engineering and AI/ML teams to enhance user experience.

The ideal candidate will have over 5 years of product management experience, strong communication skills, and a deep understanding of SRE and DevOps. This role offers a chance to lead transformative automation efforts in a collaborative environment.

Qualifications

• 5+ years of product management experience shipping customer-facing software at scale.
• Deep fluency in the SRE and DevOps domain with understanding of runbooks and production operations.
• Strong communication skills for distilling complex trade-offs.
• Experience with workflow automation or integration platforms.

Responsibilities

• Define and drive the multi-year roadmap for Workflows and Actions.
• Lead product definition for PagerDuty’s automation platform.
• Work closely with engineering to establish operational boundaries.
• Partner with AI/ML teams for a differentiated user experience.

Skills

Product management experience

SRE and DevOps domain knowledge

Workflow automation experience

Authorization models understanding

Technical aptitude

Communication skills

UI/UX knowledge

Customer empathy

Education

5+ years in product management

MBA (preferred)

Job description

Senior Product Manager for AI and Automation

PagerDuty is a leader in Digital Operations Management, helping organizations deliver a perfect digital experience. 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.

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.

Basic 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 — understanding on-call rotations, effective runbooks, and production system operations.
• 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.
• 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 curiosity‑driven approach to learning new challenges.
• Strong customer empathy and a curiosity-driven approach to learning their needs.

Preferred Qualifications

• 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.

Location Restrictions

Candidates must reside in an eligible location, which vary by role.

• Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia
• Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
• United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming

Additional Information

PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email [e-mail] and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.