Lead product strategy and execution for Everbridge’s cloud-based digital operations platform, collaborating with engineering, design, marketing, and customers to deliver new features and drive product innovation.
Compensation
The reasonably estimated salary for this role at Everbridge ranges from $110,500 - $139,000 CAD and may also include variable compensation.
Responsibilities
Work closely with software architects and UX team to define new features
Interact with customers, sales, consulting, support, and other stakeholders to identify highest value investments
Collaborate with engineering to maintain development backlogs and support sprint process
Assist in rollouts by delivering/overseeing webinars, training, documentation, and other release artifacts
Lead product strategy and execution for Everbridge’s cloud-based digital operations platform, collaborating with engineering, UX, marketing, and customers to deliver new features and drive product innovation.
Compensation
The reasonably estimated salary for this role at Everbridge ranges from $110,500 - $139,000 CAD and may also include variable compensation.
Responsibilities
Work closely with software architects and UX team to define new features
Interact with customers, sales, consulting, support, and other stakeholders to identify highest value investments
Collaborate with engineering to maintain development backlogs and support sprint process
Assist in rollouts by delivering/overseeing webinars, training, documentation, and other release artifacts
Participate in product marketing team activities
Requirements
BA/BS degree
Nice to have: Scrum certification
Nice to have: Pragmatic Marketing training
Nice to have: Low-code integration platform experience
Design, develop, and integrate AI-powered software solutions.
Locations (2)
United States
Canada
Responsibilities
Design, develop, test, and maintain software applications that incorporate AI-powered features and intelligent automation.
Write clean, efficient, reusable, and maintainable code using programming languages such as Python, Java, or JavaScript.
Assist in integrating machine learning models and AI services into software applications.
Develop and integrate REST APIs to connect AI models, backend services, and application components.
Work with AI and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
Requirements
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Technology, Computer Engineering, or a related technical field.
Lead end‑to‑end test strategy and automation for an Energy Management System, ensuring UI and service‑to‑service interactions meet quality standards.
Compensation
$90,000 - $130,000 + annual bonus (paid in local currency; range varies by location)
Responsibilities
Lead, develop, execute, and implement end‑to‑end test strategy for EMS user workflows and system behaviors through the EMS UI.
Develop and maintain automated end‑to‑end tests using Playwright, ensuring coverage of core EMS workflows and business‑critical scenarios.
Test and validate critical user personas and their journeys, ensuring correct role‑based access, permissions, and operational flows across monitoring and control functions.
Verify system behavior through visual UI validation and internal communication via MQTT between EMS services, validating message topics, payload integrity, sequencing, and system state transitions.
Perform regression testing for each software release to validate system stability and prevent reintroduction of defects.
Assist in the deployment, configuration, and rollout of Power BI dashboards and reports for Operational Excellence (OE) programs & value tracking
Responsibilities
Assist in the deployment, configuration, and rollout of Power BI dashboards and reports for Operational Excellence (OE) programs & value tracking
Support data collection, validation, and visualization to ensure data accuracy and consistency for value tracking and performance monitoring
Support stakeholder engagement and consolidate feedback during the project tools assessment to evaluate user needs and identify opportunities for improvement
Support development of selected project tool including databricks integration
Support stakeholder engagement and consolidate feedback during the Operations mobile tool assessment to evaluate user needs support selection
Requirements
Bachelor of Science with a major in Petroleum, Computer, Mechanical, Chemical Engineering or Bachelor of Data Science
Lead a squad building advisor experiences, Salesforce integrations, and internal capabilities supporting advisor-led and advisor-assisted sales processes.
Compensation
Salary Range:
100,000/100 000 - 143,000/143 000
Responsibilities
Lead sprint execution and delivery commitments with full accountability
Translate product requirements and sales workflows into clear, executable engineering work
Own the delivery of advisor experiences and Salesforce integrations that support advisor-led and advisor-assisted sales
Partner with Advisors, sales operations, and business stakeholders to improve internal workflows and capabilities
Directly manage developers—hiring, performance, growth, engagement, and career development
Designs hosting technology solutions to meet client application business requirements and project deliverables.
Responsibilities
Undertakes the design of hosting technology solutions based on the client’s service specifications, standards, policies, best practices and cost models
Gathers client business requirements and participates in the development of solutions
Provides advice on short/long term solution service development activities
Prepares technical specifications for installation, testing and performance of integrated, multi-services systems
Assesses performance and capacity of existing systems and recommends improvements
Senior Product ManagerNewEverbridge · Canada
Engineering Manager - Advisor ExperienceNewSun Life Assurance Company of Canada · Waterloo, Canada