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Procurify Logo Procurify · IT - Software Development

Engineering Manager, Data/ai

Canada 184000.00 - 205000.00 CAD / Year · Job Posted February 18, 2026
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Job Description

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.

Job Responsibility

  • Lead & Mentor: Manage a team of 6-8 engineers, providing coaching for technical excellence, fostering individual career growth, and nurturing a high-performance culture
  • Drive Velocity: Lead your team to deliver consistently against ambitious goals, define success metrics, track progress transparently, and communicate proactively with stakeholders
  • Own a Complex Domain: Own the technical direction and long-term vision for the Data/AI team, design a scalable data architecture
  • Balance & Strategize: Think strategically to balance the repayment of technical debt with the delivery of new feature development
  • 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
  • Grow our Culture: Work with the engineering leadership team to contribute to the evolution of Procurify’s engineering culture
  • Collaborate Broadly: Work with partners across the organization—including our Security, Platform, and Product teams—to deliver robust, high-quality, and compliant software solutions

Requirements

  • 6+ years of software engineering experience
  • at least 2 years in a direct people management role
  • 3-5 years of experience on a Data and/or AI Engineering team
  • experience building scalable, customer-facing data products using modern technologies (Python, Databricks, Azure, AWS, Kubernetes)
  • strong experience with Data Lakehouse technologies (e.g. Databricks, Apache Spark), software design principles, and data governance
  • strong understanding of Data Science concepts in Machine Learning and Generative AI
  • a self-driven, accountable leader who thrives in an autonomous, fast-paced environment
  • excels at communicating complex technical ideas to both technical and non-technical audiences
  • experience or strong interest in AI technologies beyond traditional ML (e.g. Generative AI, RAG, and agentic frameworks)
  • maintains a professional and current LinkedIn profile

Nice to have

  • A strong interest or background in the FinTech ecosystem
  • direct experience building products in a B2B environment
  • strong knowledge of agile development practices (e.g., Scrum/Kanban), CI/CD, test automation, and building for observability

What we offer

  • Flexible working: remote-first organization with flexible working hours
  • Responsible time off
  • Extended health benefits: competitive health, vision, and dental package, Employee Assistance Program (EAP), and a health and wellness spending account
  • Community initiatives: regular community days, Donate Your Day program, lunch and learns
  • Stock options: competitive stock program
  • DEI initiatives: diversity, equity, and inclusion roundtable
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