Senior Product Manager – Risk Intelligence
EverbridgeThis Senior Product Manager role focuses on the Risk Intelligence product suite within a SaaS environment. You will lead cross-functional teams to develop features and integrate data sources for critical event management.
What you’d own
- Risk Intelligence product vision, strategy, and roadmap
- Detailed requirements and user stories for engineering
- API and data source integrations
- Go-to-market collaboration with sales and customer success
Who it’s for
A fit if you…
- ✓You have 3+ years of experience in a SaaS environment.
- ✓You have a technical background (Engineering or CS degree).
- ✓You are proficient in Agile/Scrum and API integration logic.
- ✓You have experience using JIRA and Confluence for project tracking.
Not for you if…
- ✗You prefer to work without cross-functional coordination with sales or marketing.
- ✗You prefer a non-technical product role without API/data integration focus.
- ✗You prefer a less structured environment (the role requires strict Agile/Scrum adherence).
Reading between the lines
- The mention of 'Critical Event Management' suggests a high-stakes, reliability-focused domain.
- Requirement for both technical degrees and API knowledge implies a heavy involvement in the underlying architecture.
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Full job description
About Everbridge
See all roles →Everbridge builds critical event management software: it pulls in real-time risk intelligence, tells organizations which threats actually matter to them, and coordinates the response, including mass notification to employees, residents and citizens. Customers are large enterprises and governments, over 6,500 of them, spanning public-warning systems that reach billions of people across 195 countries. The company was listed on Nasdaq until Thoma Bravo took it private in a roughly $1.8 billion deal in 2024, and it has kept acquiring, most recently Open Measures for risk intelligence. Recent product work centers on Everbridge 360 AI and its conversational Advisor, so there is real surface area for PMs on AI-assisted decisioning in high-stakes workflows.
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