Everbridge

• Developing new products and interfaces. • Enhancing existing products. • Sustaining & Maintenance activities. • Testing and documenting activities.

• Developing new products and interfaces. • Enhancing existing products. • Sustaining & Maintenance activities. • Testing and documenting activities.

• Own, maintain, and improve CI/CD pipelines and internal delivery tooling for Public Warning products. • Design and develop reusable Jenkins and GitLab pipeline templates and automation frameworks. • Drive automation across deployments, upgrades, configuration management, operational workflows, and technical documentation. • Work within Kubernetes-based environments across both cloud and on-premise infrastructures. • Support and optimize infrastructure hosted within AWS and OVH environments. • Use technologies such as Ansible, Helm, Terraform, Python, and scripting to reduce manual operational effort and improve platform reliability. • Enhance certificate management, observability, monitoring, logging, and operational readiness across environments. • Work with technologies including Grafana, Zabbix, OpenTelemetry, HAProxy, MariaDB, Kafka, and OpenShift. • Create and maintain scripts, installation materials, operational runbooks, and technical documentation for Engineering and Professional Services teams. • Collaborate with customer-facing teams and occasionally participate in customer discussions to better understand deployment challenges and operational pain points. • Support escalations and troubleshooting activities when required. There is currently no formal on-call rotation associated with this role.

• Evolve and modernize Public Warning products deployment and operation. • Focus on automation, platform reliability, delivery efficiency, and operational excellence. • Enable transition towards cloud-native delivery models. • Simplify customer deployments and reduce operational complexity. • Collaborate with engineering, infrastructure, and delivery teams to enhance internal delivery platform. • Adopt AI-enabled engineering practices and automation to improve workflows and productivity.

• Build and execute multichannel marketing campaigns using Marketo, Salesforce, and AI-powered tools, including emails, nurture programs, landing pages, and campaign workflows. • Manage audience segmentation, data uploads, and database hygiene to ensure data accuracy and campaign effectiveness. • Support the promotion and execution of digital and in-person events through coordinated multichannel marketing activities. • Plan and coordinate both Everbridge-hosted and third-party events attended by our Sales teams across EMEA. • Monitor and analyze campaign and event performance, providing insights and recommendations to improve ROI and pipeline contribution. • Troubleshoot campaign, workflow, and data-related issues to ensure smooth execution and reporting. • Continuously develop your knowledge of MarTech, Salesforce, Marketo, and AI tools to help modernize and optimize demand generation programs. • Collaborate closely with international marketing teams, sales stakeholders, and external agencies to ensure consistent messaging and successful campaign delivery.

• Analyze large and complex datasets to identify trends, anomalies, risks, and business opportunities. • Build, maintain, and improve dashboards, recurring reports, and self-service analytics solutions. • Write efficient SQL queries to support business reporting, ad hoc analysis, and data validation. • Partner with analytics engineering and data engineering teams to validate and consume curated datasets. • Assist in designing, testing, and validating data models used in reporting and analytics workflows. • Translate business questions into measurable KPIs, analytical frameworks, and reporting requirements. • Perform data quality checks, investigate reporting inconsistencies, and support root cause analysis. • Document business logic, metric definitions, data sources, reporting methodologies, and assumptions. • Support workforce analytics, headcount reporting, workforce movement analysis, forecasting, and operational reporting. • Collaborate with stakeholders across Finance, HR, Operations, Product, and business leadership. • Identify opportunities to automate manual reporting processes and improve analytics scalability. • Support automation initiatives that reduce repetitive work and improve reporting consistency. • Use AI-assisted tools where appropriate to support analysis, documentation, workflow development, and reporting efficiency. • Validate AI-assisted outputs using strong analytical judgment, business context, and data quality standards. • Contribute to the continuous improvement of reporting standards, analytics processes, and data governance practices.

• Respond to RFI/RFPs and other deliverables to support the sales process • Maintain RFP response database and ensure it is populated with latest high-quality responses • Liaise with members of the Sales, Sales Engineering, Legal, Marketing, and Product Development teams • Provide administrative support to sales team leveraging primarily the Salesforce.com platform

• Own and continuously audit and refine core marketing workflows, including lifecycle progression, campaign automation, attribution, and data flow across the marketing stack to improve performance and scalability • Maintain and optimize Marketo <> Salesforce sync, including field management, data flow, and system governance • Manage user access, configurations, integrations, and ongoing platform enhancements • Evaluate and support implementation of new tools and capabilities (e.g., AEO, spam mitigation) • Own scoring models and lifecycle stage progression, partnering with the broader MarOps team on shared lead lifecycle management • Understand, support and provide backup coverage for lead routing, enrichment, and data hygiene processes as needed • Define and enforce campaign operations governance (taxonomy, naming conventions, hierarchies, and standardized SFDC setup) to enable scalable, outsourced execution • Align Demand Gen, Paid Media, Field, BDR, and external partners to ensure consistent execution • Ensure accurate campaign tracking, attribution, and data consistency across systems • Partner and coordinate with Marketing, Sales Ops, Analytics, and Business Systems teams on process and system improvements; communicate updates and insights to stakeholders • Support global email and data compliance initiatives (e.g., consent management, data handling policies) • Maintain documentation for processes, systems, and governance standards

• Design and deliver scalable, reliable, and high-performing backend capabilities supporting complex enterprise workflows and operational systems. • Apply an AI-first engineering mindset to rapidly prototype, iterate, validate, and deliver solutions efficiently. • Leverage AI-augmented workflows, automation, observability, and testing practices to improve software quality, accelerate delivery, reduce manual effort, and enhance operational reliability across the SDLC. • Support progressive delivery practices, controlled rollouts, production stability, and continuous engineering improvement. • Collaborate across Product, SRE, QA, frontend, mobile, and cross-functional engineering teams to deliver high-quality customer-focused solutions. • Strengthen engineering excellence through reusable knowledge sharing, documentation, ownership practices, and continuous improvement initiatives.

• Develop, enhance, and maintain backend services and features through hands-on coding. • Implement technical solutions and system enhancements based on defined designs and technical specifications. • Use AI-assisted development tools and emerging AI capabilities to improve development efficiency and code quality. • Debug, troubleshoot, and resolve complex issues in development and production environments. • Collaborate with product managers and engineering teams to implement business requirements into reliable software solutions. • Write clean, maintainable, and well-tested code while actively participating in code reviews. • Follow established engineering standards and contribute to a reliable and secure Software Development Lifecycle (SDLC). • Support CI/CD pipelines, testing automation, and deployment processes. • Participate in on-call rotations and assist in resolving production issues with minimal customer impact.