Manager, Software Development

Accountabilities: Lead and develop the engineering team: Manage, mentor, and support software developers by establishing clear goals, providing constructive feedback, encouraging professional growth, and fostering a culture of accountability, collaboration, and technical excellence. Define technical strategy and architecture: Establish the architectural direction for web crawling, data collection, ingestion, and mention-matching systems, ensuring solutions support evolving product requirements and business objectives. Build scalable distributed systems: Oversee the design, development, deployment, and maintenance of Java-based RESTful services and distributed data pipelines that process large volumes of information reliably in high-availability production environments. Drive AI and agentic workflow development: Lead the development of production-ready AI applications and agentic workflows, establishing evaluation frameworks and measurable criteria to assess the accuracy, effectiveness, and reliability of AI agents. Align engineering with business priorities: Collaborate with Product Owners and cross-functional partners to translate customer requirements, market opportunities, and business goals into a clear technical roadmap and actionable development priorities. Ensure system performance and reliability: Monitor scalability, availability, performance, and cost efficiency while overseeing incident response, on-call procedures, root-cause investigations, and corrective actions for production issues. Maintain technical involvement: Participate in architecture discussions, design reviews, code reviews, and hands-on troubleshooting to maintain high engineering standards and help resolve complex technical challenges. Improve development practices and tools: Evaluate and introduce new technologies, AI techniques, and engineering tools that improve team productivity, development quality, and operational efficiency. Measure and optimize performance: Use engineering metrics, system performance indicators, and delivery outcomes to guide decisions, identify improvement opportunities, and support continuous team development. Collaborate across the organization: Work closely with Product, Customer Success, Sales, Account Management, Content Partnerships, and leadership to ensure engineering initiatives deliver meaningful customer value. Requirements Software development experience: At least seven years of professional software development experience, including hands-on work with web crawling, data ingestion, large-scale data pipelines, or similar data-intensive systems. Leadership experience: At least two years of experience managing or leading software development teams, with a demonstrated ability to support employee growth, establish priorities, and deliver results. Education: A bachelor's degree in Computer Science or a related discipline, or equivalent professional experience. Programming expertise: Strong technical proficiency in Java or a comparable type-safe programming language, with experience building and maintaining production-grade software services. Distributed systems: Experience designing and operating distributed architectures, including message queues, event-driven systems, or streaming technologies such as Kafka. Cloud and DevOps knowledge: Familiarity with cloud infrastructure platforms such as AWS, Google Cloud Platform, or Microsoft Azure, as well as containerization technologies like Docker and Kubernetes and modern CI/CD practices. Search and data technologies: Experience with search platforms such as Elasticsearch or Solr, Boolean query logic, large-scale data processing, and systems that collect, organize, or match information from multiple sources. API and integration experience: Familiarity with REST APIs, third-party data providers, and the technical considerations involved in integrating external data into production systems. AI and machine learning knowledge: Experience with natural language processing, large language models (LLMs), entity recognition, sentiment analysis, or AI evaluation methods is an advantage. Agile delivery practices: Experience working in Agile development environments and using project collaboration tools such as Jira and Confluence. Communication and collaboration: Excellent verbal and written communication skills, including the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Analytical and data-driven mindset: Ability to use metrics and performance indicators to assess engineering outcomes, guide decisions, and identify opportunities for improvement. People-centered leadership: A leadership style that balances delivery expectations with team well-being, professional development, collaboration, and sustainable performance. Industry experience: Background in public relations technology, media intelligence, media monitoring, social listening, or news distribution is considered an asset. Continuous improvement: A proactive approach to exploring new technologies, refining engineering practices, and adapting to evolving business and technical requirements. Benefits Competitive annual salary: CAD $145,000–$165,000, depending on experience, skills, and internal equity. Fully remote work: Flexibility to work remotely within Canada. Health coverage: Medical, dental, and vision benefits. Retirement savings: RRSP matching to support long-term financial planning. Financial protection: Life insurance coverage. Employee well-being: Access to an Employee Assistance Program (EAP). Paid time off: Paid vacation, personal days, and sick leave. Additional holiday break: A week off between Christmas and New Year's. Meeting-free Fridays: Dedicated time for focused work, productivity, and uninterrupted development. Collaborative culture: Access to tools and practices that support effective communication and teamwork in a remote environment. Professional growth: Career development and progression opportunities to expand your technical expertise and leadership capabilities. Innovation-focused environment: Opportunities to shape AI-powered applications, distributed systems, and modern media intelligence technology. Inclusive workplace: A commitment to creating a respectful, supportive environment that welcomes diverse backgrounds and perspectives.