Customer Success Manager – Enterprise Accounts
| Company | Motorola |
|---|---|
| Location | Tennessee, USA, Maryland, USA, Massachusetts, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Associate’s |
| Experience Level | Senior |
Requirements
- Associate’s or Bachelor Degree preferred.
- 5+ years of experience in customer success or sales roles.
- Proven success managing a book of business exceeding $200,000 of monthly recurring revenue.
- Strong CRM skills, with demonstrable experience working in Salesforce, as well as proficiency working in Google Workspace and Microsoft Office.
- Ability to drive results efficiently with minimal supervision.
- Legal authorization to work in the U.S. indefinitely is required.
Responsibilities
- Developing and maintaining regular communication with key account contacts, providing actionable strategies to improve platform utilization, user adoption, data analysis, and ROI.
- Championing user proficiency by delivering initial training and ongoing learning experiences.
- Demonstrating your proven track record of developing and implementing successful upsell strategies that drive customer adoption and contribute to overall revenue growth.
- Acting as a voice of the customer by providing regular feedback to product, support, and management teams on product performance, customer satisfaction, and market trends.
- Addressing and resolving issues through appropriate channels, including escalation.
- Fostering excellence in customer success by effectively communicating performance metrics and progress towards goals, ensuring shared understanding and accountability across the organization.
Preferred Qualifications
- Demonstrated ability to build and nurture customer relationships that translate into long-term partnerships and revenue growth.
- Proven ability to lead, think creatively, organize effectively, and make sound decisions.
- Strong executive presence and engaging presentation skills, together with a working understanding of accounting principles and data-driven decision making.