What You'll DoThe
Senior Product Manager (AI) is responsible for defining, delivering, and iterating AI-powered products and capabilities throughout the product life cycle - connecting data, machine learning, and large language models to real customer/consumer problems and measurable business outcomes.
- Own the vision, strategy, and market fit for AI-powered products and experiences within your domain (e.g., recommendations, pricing, search, workflow automation, conversational tools).
- Build deep consumer and dealer understanding through interviews, discovery sessions, and usage analytics to identify where AI can add real value (and where it should not be used).
- Serve as internal and external subject matter expert on your AI products, including their capabilities, limitations, and responsible-use guidelines, measurement and monitoring.
- Own the end-to-end product plan for AI capabilities, from discovery and problem framing through launch, adoption, and continuous optimization.
- Drive innovative, AI-enabled solutions that align to strategic business goals and are grounded in realistic data, model, and UX constraints.
- Gather business and data requirements from a variety of sources (consumers, dealers, account owners, sales, support, data science) and translate them into clear product outcomes and increments.
- Document and elaborate requirements, partnering with business and technology leadership to prioritize AI opportunities within the overall product roadmap.
- Maintain and prioritize a large product backlog that includes discovery, experimentation, and delivery work for AI features, as well as the data and tech debt required to keep them healthy.
- Serve as subject matter expert in relevant product domains, assisting with customer UAT, defect triage, and mitigation efforts - with particular attention to AI-specific issues such as output quality, bias, hallucination, and safety.
- Partner with stakeholders to define minimum viable products for AI features, balancing value, feasibility, risk, and responsible-use considerations.
- Inspect, accept, or reject completed development work against defined acceptance criteria, UX standards, and key performance metrics for AI behaviors.
- Communicate work in progress, results from experiments, and upcoming priorities to key internal and external stakeholders in a clear, non-hype way.
- Collaborate across Data, Sales, Design, other Product teams, QA, and Engineering to produce prototypes and proof-of-concept experiences that validate AI opportunities quickly.
- Collaborate with software development and data science to build robust, scalable AI solutions for existing and potential customers.
- Develop a nuanced understanding of the target markets and user bases (including their workflows and risk tolerance) to guide decisions on AI product backlog and prioritization.
- Contribute to business cases that justify AI investments, clearly articulating expected value, costs (including model and infrastructure costs), and key risks.
- Conduct customer, market, and competitive analysis to identify industry trends, market gaps, and unmet customer needs, with a specific lens on how AI is changing user expectations.
- Act as project manager lead in strategic AI initiatives for discovery and delivery, ensuring tight coordination across teams.
What We're Looking For- Bachelor's Degree in product management, business administration, engineering or a related field.
- 4-6 years of relevant product management, product ownership, business analytics or beta analytics experience in a software product development environment.
- 5+ years of relevant product management, product ownership, or closely related experience in a software product development environment, including 2+ years working on AI/ML-powered features or data products.
- Experience in a role with strong requirements elicitation and stakeholder management across technical and non-technical groups.
- Experience with customer support and bug tracking.
- Experience and proficiency with modern product and collaboration tools (e.g., JIRA, yED, G Suite); familiarity with analytics or experimentation tools is a plus (Optimizely, Fullstory, Adobe, etc.).
- Previous experience in marketplaces, advertising, e-commerce, SaaS, or other data-rich domains is a plus.
Bonus PointsNot specified in this posting.
Locations Toronto, ON
