• We’re hiring an Engineering Manager to lead our Data/AI team. This team is at the core of our platform’s intelligence, owning the critical suite of products that leverage Machine Learning and AI to help our customers save time and make more effective decisions in their Intake to Pay workflows
• In this role, you’ll manage a team of AI Engineers and Data engineers, and serve as a technical leader within the team’s business domain. You’ll work closely with the Director of Platform Engineering to grow technical leadership and further develop a highly engaged, high-performing team. You value accountability and you know how to balance strategic thinking with hands-on execution
• Lead & Mentor: Manage a team of 6-8 engineers, providing coaching for technical excellence, fostering individual career growth, and nurturing a high-performance culture of trust and deep collaboration
• Drive Velocity: Lead your team to deliver consistently against ambitious goals. You’ll define success metrics, track progress transparently, and communicate proactively with stakeholders to ensure alignment and celebrate wins
• Own a Complex Domain: Own the technical direction and long-term vision for the Data/AI team. Design a scalable data architecture and ensure designs are architecturally sound, scalable, secure, and align with industry best practices
• Balance & Strategize: Think strategically to balance the repayment of technical debt with the delivery of new feature development. You’ll be key in building both developer and product velocity for the long term
• Evolve our Architecture: Guide your team’s efforts in designing, creating, evolving, and maintaining scalable and efficient data pipelines, model deployment, and monitoring frameworks
• Forge a Leadership Triad: Partner closely with the team’s Product Manager and Product Designer, forming a high-trust triad to deeply understand customer needs
• Grow our Culture: Work with the engineering leadership team to contribute to the evolution of Procurify’s engineering culture, balancing innovation with disciplined execution
• Collaborate Broadly: Work with partners across the organization—including our Security, Platform, and Data teams—to deliver robust, high-quality, and compliant software solutions
• You’ll shape the foundation of Procurify’s next era of innovation and scale
• You’ll lead our humble, smart and creative Data Engineering and AI team
• You’ll drive modernization and enable the Data and AI engineering team to move faster and more confidently
• You’ll be a part of a supportive, people-first culture that values curiosity, autonomy, growth, and innovation

Benefits

• Remote-first: As a remote-first organization, our team can work anywhere within Canada
• Flexible work hours: We don’t have set hours. You have the flexibility to work on the schedule that works for you and your team
• Unlimited RTO: We know there’s more to life than just work, which is why we offer unlimited Responsible Time Off for all of our team members. We encourage our team to take breaks and unplug
• Health benefits: We prioritize our team’s health and wellbeing. We offer a competitive health, vision, and dental package along with an Employee Assistance Program (EAP), and a health and wellness spending account
• Stock options: Everyone has a chance to own a part of Procurify with our competitive stock program
• Financial wellbeing: We provide Wealthsimple programs and access to financial advisors to support our team’s diverse life goals
• Training and development: Personal and technical growth are things that we value, so we provide access to Pluralsight, Masterclass, and progressive career matrices
• Tech setup: We make sure our team is equipped with the right tools and tech to set them up for success from Day One
• Community initiatives: We have a strong commitment to giving back to our communities, including regular volunteer days, our Donate Your Day program, and education lunch and learns
• DEI initiatives: We run a diversity, equity, and inclusion roundtable monthly where we host guest speakers and tackle the topics that matter
• Referral program: It’s all about who you know. Our grand prize for our Referral Bonus Program is a bucket list vacation for two!- If you feel like you don’t meet all of the requirements for this role, we encourage you to apply anyway. We know that feelings of imposter syndrome can get in the way of meeting incredible candidates, and we certainly don’t want those feelings to get in the way of meeting you!
• Proven Leadership: 6+ years of software engineering experience, including at least 2 years in a direct people management role, and 3-5 years of experience on a Data and/or AI Engineering team
• Maintains a professional and current LinkedIn profile, ensuring it is updated upon joining Procurify to reflect their new role and maintain a consistent company presence
• Modern SaaS Experience: Experience building scalable, customer-facing data products using modern technologies. We use Python, Databricks, Azure, and Kubernetes
• Modern AI Experience: Experience or strong interest in AI technologies beyond traditional ML (e.g. Generative AI, RAG, and agentic frameworks)
• Data Expertise: Strong understanding of Data Science concepts in Machine Learning and Generative AI
• Exceptional Communicator: You excel at communicating complex technical ideas to both technical and non-technical audiences, fostering collaboration and alignment across teams
• Architectural Acumen: Strong experience with Data Lakehouse technologies (e.g. Databricks, Apache Spark), software design principles, and data governance. You have a proven track record of building complex, reusable architectures and guiding teams through technical complexity
• Empathetic & Accountable: A self-driven, accountable leader who thrives in an autonomous, fast-paced environment and leads with empathy, compassion, and a people-first approach
• Agile & DevOps Mindset: Strong knowledge of agile development practices (e.g., Scrum/Kanban), CI/CD, test automation, and building for observability
• Domain Expertise: A strong interest or background in the FinTech ecosystem. Direct experience building products in a B2B environment is highly desirable