Senior Product Manager (AI)

Role overview

Workplace

• The employer says employees may work from the location that suits them and explicitly offers the option to work 100% remotely.

Product strategy and delivery

• Own AI product vision, strategy, and market fit across areas such as recommendations, pricing, search, workflow automation, and conversational tools.
• Lead discovery, product planning, launch, adoption, optimization, and backlog prioritization.
• Gather and document business and data requirements; define product outcomes, increments, and minimum viable products.
• Evaluate delivery against acceptance criteria, UX standards, and AI behavior metrics; assist with UAT, defect triage, and mitigation.
• Coordinate prototypes and scalable AI solutions with Data, Sales, Design, Product, QA, Engineering, software development, and data science teams.

Research, governance, and communication

• Study customer and dealer needs, user workflows, target markets, competitors, and industry trends to guide AI product decisions.
• Advise stakeholders on product capabilities, limitations, measurement, monitoring, responsible use, and AI-specific risks such as bias, hallucination, output quality, and safety.
• Communicate experiments, results, work in progress, and priorities clearly and without hype.
• Develop business cases that outline expected value, model and infrastructure costs, and risks; lead coordination of strategic AI initiatives.

Qualifications

• Bachelor's degree in product management, business administration, engineering, or a related field.
• Relevant experience in product management, product ownership, business analytics, or beta analytics within software product development; the description states both 4–6 years and 5+ years, including 2+ years on AI/ML-powered features or data products.
• Experience eliciting requirements and managing technical and non-technical stakeholders, as well as customer support and bug tracking.
• Experience and proficiency with modern product and collaboration tools; JIRA, yED, and G Suite are examples.

Preferred experience

• Familiarity with analytics or experimentation tools such as Optimizely, Fullstory, or Adobe is a plus.
• Marketplace, advertising, e-commerce, SaaS, or other data-rich domain experience is a plus.

Compensation

• Expected salary range is CAD 170,000–200,000 per year.

Benefits and company

• Benefits include paid time off, flexible leave, continuing education, medical, dental and vision coverage, a 401(k) match, and a wellness program.
• Trader Interactive is part of a global group of digital marketplace businesses and describes an inclusive, supportive work environment.