Product Manager

Medcan•Toronto, ON

10d•Hybrid

About The Position

Medcan is seeking a Product Manager to own the end-to-end lifecycle of AI solutions, from identifying opportunities to deployment and ongoing management. This role requires a strategic thinker with hands-on technical fluency in AI technologies who can work across business and technical teams to deliver impactful, compliant, and scalable AI solutions. The Product Manager will also drive AI adoption and culture, ensuring responsible and ethical use of AI across Medcan. Medcan is a global leader in proactive health and wellness services, devoted to providing care grounded in the latest evidence-based practices, technologies, and treatments. The team includes physicians, clinicians, allied health, administrative, and corporate professionals passionate about supporting individuals, families, and employers to live well. Medcanners are client-obsessed, believe their business is powered by people, challenge the status quo, and focus on what matters, valuing excellence, drive, respect, and integrity. Medcan's head office is located at 150 York Street in downtown Toronto, with additional locations across Ontario.

Requirements

Bachelor's degree in computer science, Engineering, Data Science, Health Informatics, or a related field
Experience leading delivery of AI, data, or digital products
Strong understanding of software development lifecycles
Minimum 4 years of product management experience, with at least 2 years focused on AI products
Strong understanding of machine learning workflows, LLMs, Generative AI, and agentic AI architectures
Proven ability to translate business needs into technical requirements and manage cross-functional teams
Excellent communication and stakeholder management skills

Nice To Haves

Experience working with Salesforce Sales and Marketing cloud
Familiarity with Azure AI services, AI Foundry, and Azure data architecture

Responsibilities

Own end-to-end delivery of AI products from intake through production and optimization, as well as Medcan’s AI Product strategy and roadmap
Define and monitor KPIs, model performance, adoption, and outcomes
Lead delivery across data science, engineering, operations, and vendors and support model development, integration, and deployment into production systems
Manage product backlog, priorities, timelines, communication and dependencies
Identify improvement opportunities and drive continuous enhancements
Translate business needs into AI use cases, technical requirements, and success metrics
Manage the end-to-end AI solution lifecycle: ideation, prototyping, vendor evaluation, development, deployment, and continuous improvement
Ensure compliance with privacy, security, and regulatory standards (PIPEDA, PHIPA) throughout the AI lifecycle
Drive AI adoption, change management and responsible and ethical practices across the organization, including training and communication
Stay current with Generative AI, LLMs, and agentic AI frameworks; assess and implement emerging technologies where relevant