Tucows

Financial Planning and Analysis

• Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.
• Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.
• Develop long-term financial forecasts and models to support strategic decision-making.
• Drive modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.
• Oversee administration, optimization, and integration of financial systems (ERP, BI tools, planning software).
• Partner with IT and finance teams to implement AI-driven automation and machine learning for forecasting and decision-making.
• Assess and optimize financial processes and technology, ensuring scalability and automation opportunities.
• Develop and maintain management reporting, dashboards, and KPIs to track performance against budget, forecast, and prior periods.
• Prepare executive-level reports and dashboards, leveraging AI-powered insights and automated tools.
• Contribution financial insights to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q).

Manager, Financial Data, Planning & Analytics

Backend Engineer

• Design and develop secure, scalable, reliable, and efficient backend services using modern frameworks and tools.
• Collaborate with frontend developers to define clear and consistent API endpoints, request/response formats, and data contracts.
• Design and optimize database schemas, write performant SQL queries, and ensure data integrity and reliability.
• Integrate third-party services, libraries, and tools within the application architecture.
• Apply security best practices, including encryption, authentication, authorization, and mitigation of common security vulnerabilities.
• Continuously improve code quality, performance, and maintainability through thoughtful design and refactoring.
• Write comprehensive unit, integration, and end-to-end tests to ensure system reliability and stability.
• Debug and troubleshoot issues in both new and existing systems.
• Participate in code reviews, share constructive feedback, and help foster a culture of continuous improvement.
• Document code, APIs, and system architecture to support knowledge sharing and efficient onboarding.
• Set up and maintain CI/CD pipelines to automate build, test, and deployment processes.

Backend Software Engineer, Intermediate

Technical Product Manager

• Set and communicate platform-level product strategy for billing at Wavelo
• Translate complex billing behavior into clear product definitions, requirements and guardrails
• Evaluate new use cases and customer requests, making tradeoffs between flexibility, risk, and long-term maintainability
• Partner with Engineering, Operations, and Product managers to align on billing behavior and ownership boundaries
• Enable Marketing through accurate, product-authored documentation that explains billing behavior, supported use cases, customer value, and competitive differentiation
• Partner with the Solutions team to evaluate customer-specific requirements, distinguishing between one-off needs and platform-level capabilities that should be productized
• Maintain a shared mental model of “how billing works” across teams
• Serve as a liaison to customer delivery/solutions teams — ensuring smooth onboarding, integration, and customization.
• Define success metrics and drive outcomes that improve customer experience.

Senior Technical Product Manager

Account Executive

• Consistently meet or exceed monthly sales goals and performance metrics
• Provide an extraordinary customer experience in every interaction
• Promptly answer incoming calls and live chats
• Assist customers in selecting the right internet (and optional mobile) plans
• Thoroughly update lead status, customer records, and interaction notes in our CRM
• Make outbound follow-up calls and/or send emails to sales leads
• Maintain up-to-date product knowledge of our internet, mobile, and value-added service offerings

Inside Sales Representative

Network Operations

• Monitor, operate, and support day-to-day network systems with an intermediate level of proficiency
• Assist with quality assurance and testing of network infrastructure and services
• Identify network issues, investigate root causes, and support corrective and preventive actions
• Contribute recommendations for improvements to network systems, tools, and processes
• Collaborate within a broader product or system, building influence through technical contributions and teamwork

Network Operations Engineer

• Provide advanced-level monitoring, operation, and support of network systems
• Guide quality assurance activities and infrastructure testing to ensure network stability and performance
• Lead investigations into network issues, including root cause analysis and corrective action planning
• Maintain and evolve recommendations for improvements to network systems, tools, and operational processes
• Influence multiple areas of a product or system through technical leadership and cross-team collaboration
• Design and lead network upgrade projects
• Advise and support junior engineers, sharing knowledge and best practices

Senior Engineer – Network Operations

Vice President

• Responsible for building and scaling a high-impact, product-aligned Professional Services organization.
• Define the Professional Services strategy to support a SaaS, subscription-first business model.
• Own end-to-end delivery of implementations, integrations, migrations, and upgrades.
• Ensure Professional Services contributes directly to customer satisfaction, retention, and net revenue retention.
• Lead and scale a team of implementation consultants, solution architects, and software engineers.

Vice President, Professional Services

Data Analyst

• Work with internal and external business, product, and engineering stakeholders to understand BI and analytics needs and priorities.
• Collaborate with the data engineering team, engineers, product team, and business stakeholders to understand data sources and develop data pipelines to transform raw data to clean & aggregated data, culminating in the development of BI solutions.
• Explore the data with visualization tools and statistical techniques, analyzing KPIs to understand trends, glean insights, and present these findings to stakeholders at various levels.
• Work on business analytics projects incorporating predictive and prescriptive analytics to find valuable insights from data and help drive business decisions (e.g., analysis of consumers moving from MVNO to MNO accounts).