Senior Product Manager (AI)
New
T
Trader InteractiveDigital marketplaces
Source API remote eligibility restrictions: CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 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.
- Required Skills
- Product ManagementJiraStakeholder managementGoogle WorkspaceCustomer support
Requirements
- 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 eliciting requirements and managing stakeholders across technical and non-technical groups.
- Experience with customer support and bug tracking.
- Proficiency with product and collaboration tools such as JIRA, yED, and G Suite.
- Familiarity with analytics or experimentation tools such as Optimizely, Fullstory, or Adobe is a plus.
- Experience in marketplaces, advertising, e-commerce, SaaS, or other data-rich domains is a plus.
Responsibilities
- Own the vision, strategy, market fit, and end-to-end product plan for AI-powered products and capabilities.
- Build consumer and dealer understanding through interviews, discovery sessions, and usage analytics.
- Gather business and data requirements from customers and internal stakeholders and translate them into product outcomes and increments.
- Document requirements, prioritize AI opportunities, and maintain the product backlog and roadmap.
- Partner with Data, Sales, Design, Product, QA, Engineering, and data science to prototype, validate, and build AI solutions.
- Define minimum viable products and acceptance criteria, and inspect development work against UX standards and performance metrics.
- Support customer UAT, defect triage, and mitigation, with attention to AI output quality, bias, hallucination, and safety.
- Conduct customer, market, and competitive analysis and contribute business cases for AI investments.
- Communicate experiments, results, and priorities to internal and external stakeholders.
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