Senior Product Manager, PagerDuty

• 5+ years’ experience in product management for B2B SaaS, DevOps, or data-analytics platforms—or equivalent degree or experience
• Demonstrated fluency with data analysis or analytics products (telemetry, observability, post-incident review)
• Proven success shipping features focused on workflow automation or operational improvement
• Experience collaborating with cross-functional teams (engineering, design, sales, customer success)
• Must be currently authorized to work in the United States on a full-time basis

Desirable

• PagerDuty is seeking a Senior Product Manager, Incident Analysis to join our talented, customer-focused Incident Management team!
• As Senior Product Manager, you will report to the Director of Product for Incident Management, and partner closely with design, engineering, and go-to-market teams
• You will define and deliver data-driven, user-centric experiences that transform incident data into opportunities for continuous improvement and operational excellence
• This is an exciting opportunity to own and shape the roadmap for products trusted by some of the world’s top DevOps, SRE, and digital operations teams
• The ideal candidate thrives at the intersection of analytics, DevOps, and user experience—and is passionate about driving better business outcomes from operational data
• 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
• Lead the development and execution of roadmap for Incident Analysis products, delivering meaningful outcomes for users and business
• Drive end-to-end product lifecycle, from needs discovery through launch and iteration, with a focus on data-driven insights
• Collaborate with design and engineering to deliver intuitive, seamless user experiences that drive adoption and demonstrable learning
• Engage with customers and cross-functional partners to deeply understand user needs, pain points, and emerging opportunities
• Track and analyze product performance, iterating on features to maximize user value and business impact