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Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed. May manage a number of projects simultaneously. The AI Technical Product Manager bridges the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value.
Job Responsibility:
Lead development and implementation of complex information technology projects to solve problems that may have wide impact, requiring high levels of functional integration and involving multiple disciplines to be managed
May manage a number of projects simultaneously
Bridge the gap between artificial intelligence capabilities and real-world product applications, combining deep technical understanding with strategic product understanding to build AI-powered solutions that deliver measurable value
Balance innovation with practical implementation, assessing technical feasibility and business impact
Establish success metrics and KPIs for AI product initiatives
Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications
Understand AI/ML fundamentals including model architectures, training processes, evaluation metrics, and deployment considerations
Make informed decisions about model selection, data requirements, and infrastructure needs
Evaluate emerging AI technologies and determine their applicability to product challenges and understand risk mitigation strategies
Partner with engineering teams to prioritize features and manage the development lifecycle
Work with design teams to create intuitive user experiences that leverage AI capabilities effectively
Coordinate with data engineering on data pipelines, quality, and governance
Communicate technical concepts to non-technical stakeholders including executives and customers
Align with Project Director on strategic priorities, customer experience and usability needs, and internal / external deadlines
Own the product backlog, writing detailed user stories and acceptance criteria for AI features
Manage tradeoffs between model performance, latency, cost, and user experience
Oversee A/B testing and experimentation frameworks to validate AI-driven improvements
Monitor model performance in production and coordinate retraining or optimization efforts
Ensure responsible AI practices including fairness, transparency, and privacy considerations
Identify potential biases in training data and model outputs
Establish governance frameworks for AI model deployment and monitoring
Navigate regulatory requirements, security needs, and compliance consideration
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
This role is responsible for other duties as assigned
Requirements:
Minimum of seven years’ post-secondary education or relevant work experience
Knowledge of Microsoft Office Suite, advanced Excel skills
Knowledge of information technology applications, processes, software and equipment
Highly specialized knowledge of a specific technology
Knowledge of advanced IT project management principles (e.g. Agile) and software