Senior Product Manager, AI (eCommerce)
Cymax View all jobs
- Vancouver, BC
- $110,000-120,000 per year
- Permanent
- Full-time
- Define Cymax Group’s AI product strategy aligned with company growth objectives
- Identify high-impact use cases across pricing, merchandising, logistics, personalization, supply chain, demand forecasting, content generation, customer support, and B2B enablement
- Prioritize initiatives based on ROI, feasibility, and scalability
- Own the full product lifecycle for AI initiatives: discovery, validation, roadmap, build, launch, iteration
- Translate business problems into structured ML/AI product requirements
- Partner with Data Science, Engineering, Analytics, and Business teams to deliver production-grade AI systems
- Ensure models are measurable, monitored, and continuously optimized
- Define clear KPIs for AI products (revenue lift, margin improvement, conversion rate, cost reduction, automation efficiency)
- Quantify business cases and forecast impact before development
- Ensure AI solutions are scalable, maintainable, and embedded into workflows
- Establish best practices for model governance, evaluation, bias mitigation, and data privacy
- Ensure alignment with company standards, compliance, and ethical AI principles
- Act as the bridge between technical teams and executive stakeholders
- Communicate complex AI concepts in clear, business-oriented language
- Influence roadmap prioritization at the leadership level
- Identify high-impact Gen AI use cases (content generation, catalog enrichment, pricing insights, customer support automation, supplier copilots)
- Build human-in-the-loop systems with feedback loops
- Design hallucination mitigation and trust frameworks
- Explore agentic workflows to automate multi-step commerce operations
- 5+ years in Product Management, with significant experience in AI/ML-driven products
- Proven track record launching and scaling AI products in production environments
- Strong understanding of machine learning fundamentals (supervised/unsupervised learning, NLP, recommender systems, forecasting, optimization)
- Experience working closely with data scientists and ML engineers
- Ability to evaluate model performance and trade-offs beyond surface-level metrics
- Strong business acumen — able to tie AI initiatives directly to revenue or efficiency outcomes
- Experience embedding AI into workflows to drive adoption (not just shipping features)
- Experience in e-commerce, marketplaces, retail, supply chain, or analytics-driven businesses preferred
- Experience implementing generative AI in commercial environments
- Experience with personalization, dynamic pricing, or recommendation systems
- Familiarity with experimentation frameworks (A/B testing, causal inference)
- Prior experience building AI roadmaps from 0→1
- Impact: Your work will directly influence the success and growth of our business.
- Growth: Opportunities for professional development and career advancement.
- Hybrid-First Environment: Embrace flexibility and choice.
- Culture: A collaborative and supportive work environment where your contributions are valued.
- Grit & Agility: Forge Ahead, Pivot Fast
- Accountability: Bring It, Own It, Commit
- Go the Extra Mile: We Go Above & Beyond
- Understand the Map & the Terrain: Master the Details & the Big Picture
- Data Drives Decisions: Absorb Complexity & Transmit Clarity
- Think Beyond Today: Tomorrow's Vision, Today's Action
We are committed to transparency in our hiring process. The expected salary range for this role is between $110,000 and $120,000, depending on various factors including experience, skills, training and certifications, market demands, and organizational needs. Our salary ranges are determined by role, level and location.We offer a comprehensive range of benefits which includes:
- Health and wellness support for our team members and their families including an employee assistance program
- 100% paid health and dental benefits in Canada
- Paid time off
- Easy access to online and phone-based counselling services
- And a hybrid-first flexible work environment.