Senior Product Manager (AI)
New
J
JobgetherAI software
Listing location: Canada; Structured job location: CanadaFull-TimeSenior
Salary170,000 - 200,000 CAD per year
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Job Details
- Experience
- 5+ years of relevant experience in product management, product ownership, or a closely related role; at least 2 years of experience working with AI/ML-powered features or data products.
- Required Skills
- Product ManagementJiraStakeholder managementGoogle Workspace
Requirements
- Hold a bachelor's degree in Product Management, Business Administration, Engineering, or a related field.
- Have 5+ years of relevant experience in product management, product ownership, or a closely related role in a software product development environment.
- Have at least 2 years of experience working with AI/ML-powered features or data products.
- Have strong experience gathering and translating requirements across technical and non-technical stakeholder groups.
- Bring stakeholder management and cross-functional collaboration experience.
- Have experience with customer support processes, issue management, and bug tracking.
- Be proficient with Jira, yEd, and Google Workspace.
- Be able to explain AI capabilities and limitations clearly and balance user experience, data quality, technical feasibility, and responsible AI use.
- Familiarity with Optimizely, FullStory, or Adobe analytics and experimentation platforms is an advantage.
- Experience in marketplaces, advertising, e-commerce, SaaS, or other data-rich industries is preferred.
Responsibilities
- Define and own the vision, strategy, and market fit for AI-powered products and experiences.
- Conduct customer discovery, interviews, usage analysis, and market research to identify opportunities and unmet needs.
- Manage the product lifecycle from discovery and requirements definition through launch, adoption, measurement, and optimization.
- Gather business, customer, and technical requirements and translate them into clear product outcomes.
- Develop, document, and prioritize the AI product roadmap and backlog.
- Partner with Engineering, Data Science, Design, QA, Sales, and Product teams on prototypes and scalable AI capabilities.
- Define acceptance criteria and evaluate development work against product requirements, user experience standards, and AI performance metrics.
- Monitor output quality, bias, hallucinations, and safety, and support user acceptance testing, defect triage, and mitigation.
- Communicate product priorities, experimentation outcomes, and progress to internal and external stakeholders.
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