PagerDuty

Toronto
1,200 Total Employees
Year Founded: 2009

Teams at PagerDuty

Recently posted jobs

4 Days AgoSaved
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Manage strategic procurement for software, SaaS, cloud, and professional services suppliers. Partner with executives and cross-functional teams to develop vendor strategies, lead renewals and complex contract negotiations, conduct supplier reviews, and optimize procure-to-pay and source-to-contract processes. Use AI, automation, analytics, Coupa, and CLM tools to improve efficiency, manage risk, and deliver savings.
21 Days AgoSaved
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Lead PagerDuty’s industry analyst relations program by developing strategy, shaping category messaging, building analyst relationships, coordinating briefings, supporting executive spokespeople, managing program data and calendars, prioritizing information requests, and measuring marketing and sales impact. Conduct market and competitor research to identify growth opportunities. The role requires enterprise technology communications or product marketing experience, strong content creation and program management skills, and familiarity with analyst firms such as Gartner, Forrester, and IDC.
22 Days AgoSaved
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Lead PagerDuty’s Release Engineering team and set the company-wide roadmap for software build, testing, deployment, and delivery. Drive GitOps adoption, CI/CD platform migration, isolated testing environments, automated quality checks, progressive delivery, and delivery metrics. Manage CI and AI tooling costs, hire and coach senior engineers, communicate technical tradeoffs to executives, and guide platform adoption across Engineering.