PagerDuty
ScalingEnterprise · Incident response
- HQ
- San Francisco, US
- Founded
- 2009
- Website
- pagerduty.com
Currently tracking 3 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Product. Salary range $161k–$271k (avg $216k).
Hiring
3 / 3
Momentum (4w)
↓-4 -27%
11 opens last 4w · 15 prior 4w
Salary range · avg $216k
$161k–$271k
USD · disclosed roles only
Tracked since
Jan 12
last role today
Hiring velocityscroll left for older weeks
Jobs (3)
| Title | Stage | AI score |
|---|---|---|
| Principal Product Designer. - Toronto, Ontario, Canada PagerDuty is seeking a Principal Product Designer to lead design strategy for their AI and Automation team. The role involves defining the vision and execution for AI agents, automation workflows, and intelligent insights within the PagerDuty Operations Cloud, ensuring they are intuitive and trustworthy for technical operations teams. This involves cross-functional collaboration with AI/ML engineers, product managers, and data scientists, establishing design principles for AI transparency and explainability, and conducting research on AI adoption by technical teams. | Agent | 7 |
| Principal Product Designer. - Atlanta PagerDuty is seeking a Principal Product Designer to lead design strategy for their AI and Automation team. The role involves defining the vision and execution for AI agents, automation workflows, and intelligent insights within the PagerDuty Operations Cloud, ensuring AI capabilities are intuitive and trustworthy for technical operations teams. This includes conducting research, establishing design principles for AI transparency and explainability, and mentoring other designers. | Agent | 7 |
| Principal Product Designer PagerDuty is seeking a Principal Product Designer to lead design strategy for their AI and Automation team. The role involves defining the vision and execution for AI agents, automation workflows, and intelligent insights across the PagerDuty Operations Cloud, ensuring AI capabilities are intuitive and trustworthy for technical operations teams. This involves pioneering AI-driven operations at scale, shaping how organizations leverage autonomous agents and intelligent automation. | Agent | 7 |