AI Product Manager

at  CM2 Solutions Inc

CM2.CA
Role Title: AI Product Manager
Division: CM2 Solutions Inc. at General Motors of Canada Ltd.

JOB DESCRIPTION

Do you have a passion for building product experiences that delight customers and drive measurable outcomes? Do you enjoy the challenge of translating broad business goals into clear, actionable requirements and KPIs? We’re looking for a Product Manager who can champion user empathy, shape product vision, and collaborate with cross-functional teams—without the luxury of dedicated designers. You’ll operate in a fast-paced, startup-style environment, where you’ll own end-to-end product execution, from ideation to launch, all underpinned by data-driven decision-making.

You’ll get the opportunity to:

• Drive OKRs and KPIs that align with our strategic objectives.
• Deliver incremental value to customers through rapid experimentation and tight feedback loops.
• Work shoulder-to-shoulder with engineering, data, and business stakeholders to create innovative solutions in the automotive and mobility technology space (no prior auto experience required).

REQUIREMENTS

• Experience: 3+ years in product management or a related role, with a track record of shipping successful products.
• Skills:
• Strong analytical mindset for defining KPIs, interpreting data, and driving decisions.
• Product-Driven Philosophy: Demonstrated ability to integrate customer insights, market trends, and business needs into cohesive product strategies.
• Excellent communication and stakeholder management skills.
• Soft Skills: Adaptability, ownership, willingness to experiment, and the ability to thrive in a cross-functional, fast-paced environment.
• Hybrid Work: Combination of on-site (Markham, ON) and remote.
  If you’re excited about owning the product lifecycle, championing user needs, and driving high-impact results in a dynamic setting, we’d love to hear from you!

• Product Vision & Roadmap: Define and maintain the product roadmap, ensuring alignment with overall business goals.
• Requirement Documentation: Translate business needs into detailed user stories, PRDs (Product Requirement Documents), and acceptance criteria.
• Continuous Engagement: Collaborate closely with customers and internal stakeholders to gather feedback, validate hypotheses, and prioritize enhancements.
• OKR & KPI Ownership: Establish and track key metrics (e.g., adoption rate, feature usage, customer satisfaction) to ensure product success.
• Cross-Functional Collaboration: Coordinate with engineering, data architects, and ML teams in a startup-style pod to ensure timely delivery of new features and improvements.
• User Empathy & Feedback Loops: Act as the voice of the customer, championing usability, simplicity, and real-world impact.