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Product Manager, AI | LLM | Hybrid

Canada, Markham, Ontario 100000.00 - 150000.00 CAD / Year · Job Posted February 22, 2026

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Job Description

Join a leading, innovative software company focused on empowering the construction industry. We are developing a cutting-edge platform that integrates accounting and project management with advanced technology. In this highly visible role, you will be the driving force behind our company's Artificial Intelligence strategy and execution. You will be responsible for defining, specifying, delivering, and ensuring the successful adoption of both customer-facing and internal AI features. Your ability to translate complex industry and operational challenges into robust, reliable AI solutions will be critical to our mission of reshaping the global construction economy.

Job Responsibility

  • Collaborate with executive leadership to pinpoint, prioritize, and articulate high-value opportunities for automation and business process enhancement through AI
  • Develop comprehensive Product Requirements Documents (PRDs) and detailed functional specifications, acting as the definitive source for all new AI feature implementations
  • Serve as a cross-functional leader, coordinating efforts across engineering, sales, marketing, and customer support teams to ensure timely delivery of AI solutions aligned with strategic goals
  • Manage the product lifecycle from concept to launch, including determining scope, assessing feasibility, and making informed tradeoff decisions between technical limitations, necessary data integrity (e.g., accounting accuracy), and maximizing user adoption
  • Oversee the launch, validation, and rollout strategy for new capabilities, establishing metrics to confirm that AI features deliver measurable value in a production environment
  • Partner with operational teams to conceptualize and run effective beta testing and controlled feature release programs
  • Monitor, analyze, and iteratively refine AI features based on performance data, user feedback, and real-world usage patterns
  • Establish and communicate key performance indicators (KPIs) to leadership, demonstrating the business impact, reliability, and adoption success of AI initiatives

Requirements

  • Bachelor’s degree in a relevant technical or business field (e.g., Computer Science, Engineering, Business)
  • Minimum of 3 years of Product Management experience within a sophisticated SaaS or enterprise software environment
  • Proven track record of successfully conceptualizing and launching AI-driven product features
  • Technical Literacy: Must be comfortable engaging in detailed technical discussions with developers regarding concepts like Retrieval-Augmented Generation (RAG) architecture, vector databases, and advanced prompt engineering strategies
  • Exceptional capacity to distill complex technical and business concepts into clear, actionable, and comprehensive documentation
  • Strong foundation in analytical thinking, problem-solving methodologies, and excellent communication (written and verbal)
  • A demonstrated curiosity and enthusiasm for learning emerging AI technologies, alongside an interest in construction and financial/accounting business processes

Nice to have

  • Previous experience designing, deploying, and managing agentic or autonomous AI systems
  • Practical experience in shipping AI features leveraging: Large Language Models (LLMs), including prompting, guardrail implementation, and RAG systems
  • Document AI and Optical Character Recognition (OCR)
  • Forecasting and anomaly detection models
  • Familiarity with cloud-based AI technology stacks, particularly those offered by Microsoft Azure
  • In-depth knowledge of accounting principles or construction project management workflows
  • Prior experience in the ERP (Enterprise Resource Planning) or vertical SaaS sectors

What we offer

  • Comprehensive Compensation Package
  • Flexibility in remote/hybrid work model
  • High-Impact Role: Directly influence the transformation of a major global industry by defining how AI technologies fundamentally change how construction businesses operate
  • Modern Technology Stack: Work hands-on with state-of-the-art AI capabilities and machine learning concepts to solve tangible, real-world business problems
  • Collaborative Culture: Thrive in a supportive environment that values continuous improvement, maintains high standards of excellence, and emphasizes strong team collaboration

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