8 дней назад
Client Success Manager
70 900 - 119 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Client Success Manager (Business Data & Analytics): Supporting enterprise customers after the sale by coordinating implementation, training, product adoption, service delivery, and KPI management with an accent on customer value, data advisory, and cross-functional execution. Focus on documenting use cases and process flows, coordinating resources across product and technical teams, and supporting contract management, forecasting, and product demonstrations.
Location: Ontario, Canada; remote
Salary: $70,900–$119,100 per year; commission eligible
Company
Dun & Bradstreet provides business decisioning data and analytics that help companies manage risk, grow, and innovate.
What you will do
- Serve as the primary post-sales contact for customer value and impact conversations.
- Coordinate delivery, onboarding, implementation, product, training, data advisory, technical, and customer service resources.
- Document customer use cases, KPIs, user adoption, product utilization, and process flows.
- Coordinate customer training and support a portfolio of customers across multiple Account Executives.
- Ensure contracted products and services meet or exceed SLAs and KPIs.
- Provide backup support for contract management, forecasting, negotiations, and product demonstrations.
Requirements
- Bachelor’s degree.
- 5+ years of experience in sales, sales support, client service, or account management.
- Experience using SFDC, KPI, BI Portal, OA/QTC, Sales Spot, and usage reporting systems.
- Strong knowledge of enterprise products associated with business unit solutions.
- Strong written and verbal communication skills.
- Ability to document process reviews or process maps and 1–2 years of project management experience.
Culture & Benefits
- Remote work arrangement in Ontario, Canada.
- Commission eligibility in addition to the stated annual salary.
- Opportunity to work with global business data and analytics products.
- Collaboration across delivery, implementation, product, technical, training, and customer service teams.
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