Why This Job is Featured on The SaaS Jobs
This Senior Product Manager, AIOps role sits at a core SaaS intersection: reliability as a product feature and automation as a platform capability. PagerDuty operates in the Operations Cloud category, where event ingestion, incident workflows, and integrations form a system of record for modern production operations. The remit spans topology, enrichment, search, and console experiences, pointing to a product area that must translate complex operational data into decisions teams can act on.
For a SaaS product career, the work builds durable strengths in platform thinking, metrics-driven prioritisation, and cross-functional delivery. The listing signals exposure to API-first practices, analytics tooling, and customer research, plus collaboration across engineering, UX, and go-to-market functions. The AIOps focus also reinforces a recurring SaaS pattern: creating adoption and retention through improved operational outcomes rather than standalone features.
This position will suit a product manager who is comfortable operating close to technical systems and who enjoys synthesising signals from customers, data, and internal stakeholders. It aligns well with someone who wants to deepen expertise in observability-adjacent domains while owning outcomes that depend on integration breadth, usability, and clear success metrics.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
PagerDuty is seeking a Senior Product Manager, AIOps, to join our diverse, customer-focused team building the industry’s best event orchestration and automation capabilities within the PagerDuty Operations Cloud. Our vision: a world where AI-augmented software developers build and ship applications 10x faster, and those applications run reliably and autonomously in production. When the unexpected happens, automated event intelligence will detect anomalies, and AI agents and automated diagnostics and remediation will resolve most issues—so human teams can focus on innovation, not firefighting.
Events flow into PagerDuty AIOps from production infrastructure, applications, developer tooling, and customer service platforms. Using machine learning and event-driven automation, it detects anomalies and triggers incident workflows to mobilize human responders and specialized AI agents.
In this role, you will support the AIOps product, which includes service topology mapping, data enrichment and search, and visualization in our Operations Console. This is an exciting opportunity to solve some of the most compelling and high-value problems for our customers. The ideal candidate will have a deep understanding of applications and infrastructure monitoring and observability systems, strong technical acumen, basic SQL knowledge, and a #ChampionTheCustomer mindset. You will work closely with highly collaborative engineers and UX designers while building relationships with go-to-market teams (e.g. marketing, sales, success, support, etc) and enterprise customers.
Important note: While this role is posted as remote, candidates who are located near one of our hub locations (San Francisco, Atlanta, or Toronto) will be given preference.
Key Responsibilities
- Research customer needs, define, and evangelize a roadmap that reflects the strategic vision for AIOps, taking into account business strategy, technical feasibility, and usability
- Understand our broader Operations Cloud vision and deliver competitive differentiation by deeply integrating with other elements of our product portfolio
- Partner with a dedicated group of engineers, data scientists, and designers to deliver and iterate on products and features that address critical customer needs
- Embrace a “product-led growth mindset” to not only deliver customer value but to also to drive adoption and usage
- Build partnerships across our integration ecosystem to drive utility, usage and revenue growth.
Basic Qualifications
- 3+ years of experience as a product manager driving the full product lifecycle, including defining and driving success metrics, ideally in B2B SaaS
- Experience using api-first development practices to design new products and structure requirements
- 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
- Experience working with marketing, sales, and enablement to take a new products to market and driving PLG and SLG adoption post-release
- Ability to effectively communicate across diverse backgrounds and contexts, and lead through influence using metrics and research
- 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)
- Proficiency with analytics tools and a track record of data-driven decision-making
- Strong customer empathy and a curiosity-driven approach to learning their needs
Preferred Qualifications
- Experience with AI, ML, or Data Science principles
- Comfort with SQL or data analysis tools
- A bachelor's degree in mathematics, data analytics, or computer science or related technical field
- MBA a plus
The base salary range for this position is 138,000 - 209,000 CAD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.
