Lead Product Manager (Data & AI)

TL;DR

Lead Product Manager (Data & AI): Shaping digital solutions that influence business strategy and customer experience with an accent on product leadership, data, and artificial intelligence. Focus on leading cross-functional teams to define and deliver data-driven and AI-enabled products from vision through execution.

Location: Remote within Canada

Salary: $130,000 – $190,000 CAD

What you will do

• Lead the end-to-end product lifecycle for data and AI-driven solutions to ensure continuous delivery of business value.
• Define and evolve product vision, strategy, and roadmaps in collaboration with cross-functional teams and clients.
• Build and maintain strong relationships with client stakeholders, bridging business strategy and technical execution.
• Design and execute go-to-market strategies while ensuring operational readiness for launches.
• Run experiments and hypothesis-driven initiatives to validate product ideas and optimize outcomes.
• Own and refine the product backlog based on user research, market trends, and business needs.

Requirements

• Proven experience delivering digital products in data, AI, or complex technology environments.
• Strong ability to translate high-level strategy into actionable roadmaps and measurable outcomes.
• Deep understanding of user research methods, product discovery, and design thinking principles.
• Solid knowledge of Agile software development practices and product lifecycle management.
• Excellent stakeholder management, communication, and storytelling abilities.
• Must be based in Canada

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Flexible and inclusive work environment with a strong emphasis on collaboration and autonomy.
• Tailored learning and development opportunities for individual career growth.
• Access to mentorship, internal communities, and knowledge-sharing programs.
• Paid time off and standard company holidays.

Hiring process

• AI-powered matching process to evaluate candidates against core requirements.
• Shortlisted candidates undergo interviews and assessments managed by the hiring company's internal team.