<p>As a <strong>Data Scientist</strong>, you will lead the end-to-end development of customer-centric data products designed to help internal teams better understand and enhance the customer journey. You will partner closely with Go-To-Market teams (Sales, Marketing, and Customer Success) and Product stakeholders to translate business questions into clear, actionable analytical requirements.</p><p><br></p><p>In this role, you will analyze product usage and customer feedback data, transforming insights into impactful dashboards, reports, and strategic recommendations that drive informed decision-making across Sales, Marketing, Customer Success, Finance, and Product. You will also champion data quality, integrity, and performance while contributing to the long-term customer analytics strategy and lifecycle insights.</p><p><br></p><p>This position reports to the VP, Finance and Operations and works cross-functionally with Go-To-Market and R& D teams.</p>
<p>As a <strong>Data Scientist</strong>, you will lead the end-to-end development of customer-centric data products designed to help internal teams better understand and enhance the customer journey. You will partner closely with Go-To-Market teams (Sales, Marketing, and Customer Success) and Product stakeholders to translate business questions into clear, actionable analytical requirements.</p><p><br></p><p>In this role, you will analyze product usage and customer feedback data, transforming insights into impactful dashboards, reports, and strategic recommendations that drive informed decision-making across Sales, Marketing, Customer Success, Finance, and Product. You will also champion data quality, integrity, and performance while contributing to the long-term customer analytics strategy and lifecycle insights.</p><p><br></p><p>This position reports to the VP, Finance and Operations and works cross-functionally with Go-To-Market and R& D teams.</p>
We are looking for an experienced AI Staff Software Engineer to join our team in Toronto, Ontario. In this role, you will lead the development and deployment of advanced AI systems, ensuring their integration across multiple platforms and teams. The ideal candidate will have deep expertise in AI technologies, strong problem-solving skills, and an ability to drive technical innovation in ambiguous environments.<br><br>Responsibilities:<br>• Design and implement cutting-edge AI systems with a focus on agentic AI technologies and workflows.<br>• Develop robust backend systems, APIs, and data pipelines to support scalable AI solutions.<br>• Collaborate with multidisciplinary teams to align technical strategies and ensure seamless integration across products.<br>• Lead the development of AI models and infrastructure, including planning, memory, tool usage, and evaluation.<br>• Optimize cloud infrastructure to enhance system reliability and performance.<br>• Translate complex problems into actionable solutions, delivering autonomous systems that meet business objectives.<br>• Mentor and guide engineering teams through advanced AI workflows and development processes.<br>• Drive technical innovation while ensuring the stability and scalability of deployed systems.<br>• Implement and manage workflow engines, asynchronous processing, queues, and streaming systems.<br>• Influence technical direction and foster collaboration across teams without formal authority.
