Enterprise Customer Success Manager (Ecommerce)
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Описание вакансии
TL;DR
Enterprise Customer Success Manager (Ecommerce): Managing a portfolio of high-value ecommerce merchants to drive product adoption and long-term value with an accent on AI-powered workflows and operational efficiency. Focus on reducing churn, conducting QBRs, and aligning platform capabilities with client business goals.
Location: Toronto, Canada
Salary: CA$110,254 – CA$121,860 + Commission & Equity
Company
is building a unified AI agent platform for conversational commerce to help ecommerce brands create seamless, intelligent customer relationships.
What you will do
- Manage a portfolio of 70-80 ecommerce customers, building strategic relationships with key stakeholders.
- Drive adoption of core features including AI, automation, and third-party integrations.
- Conduct regular check-ins and Quarterly Business Reviews (QBRs) to ensure alignment with customer goals.
- Monitor account health and implement proactive risk mitigation strategies to prevent churn.
- Develop account plans focused on increasing efficiency and maximizing platform value.
- Partner with Sales, Product, and Support teams to share customer insights and inform the product roadmap.
Requirements
- 3+ years of experience in Customer Success, Account Management, or similar roles.
- Proven experience managing multiple accounts within a SaaS environment.
- Strong communication skills and ability to run structured business conversations.
- Must be based in Toronto, Canada.
- Ability to balance high-level strategic planning with hands-on technical execution.
Nice to have
- Previous experience working with ecommerce brands or customer support operations.
- Passion for AI, automation, and the evolving landscape of customer service technology.
Culture & Benefits
- Competitive base salary with a dedicated commission structure and equity options.
- Annual L&D budget to explore and master new technologies.
- Access to premium AI tools including ChatGPT, Claude, and Granola.
- Inclusive company culture with a strong emphasis on knowledge sharing via AI demo sessions.
- Flexible and innovative work environment focused on using AI as a productivity multiplier.
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