Level AI is hiring a
Customer Success Manager

Summary

The job is for a Customer Success Manager at Level AI, a Series C startup that revolutionizes customer engagement by using AI-native platforms. The role involves maintaining ownership of a portfolio of existing customers, driving process change and product adoption, monitoring customer health, conducting quarterly business reviews, advocating for customer needs, and being an expert in the Level AI product.

Requirements

• 5+ years of experience in an enterprise environment with Customer Success, Sales, Support/Service or customer-facing roles
• Ability to work Eastern Standard Timezone (EST) or Pacific Timezone (PST)

Responsibilities

• Maintain ownership of a portfolio of existing customers
• Develop relationships and key understanding of the customers’ business and usage of Level AI
• Drive process change and product adoption through change management, training and enablement, project management, and executive relationships
• Monitor customer health across the customer journey and take data-driven actions to influence the right behavior
• Conduct Quarterly Business Reviews at an executive level to demonstrate the qualitative and quantitative value
• Champion and own customer retention and partner with sales on upsells
• Advocate for customer needs and educate them on adopting new features as we continue to enhance the product
• Confidently work in an ambiguous environment, collaborating internally and externally to solve pain points for your customer
• Function as the customer advocate and provide internal feedback on how we can better serve our enterprise customers

Preferred Qualifications

• Eager to learn, try new things, and take calculated risks
• Data-driven, process-oriented individual who can point to ways you’ve upleveled the product/process and people in your professional experience past
• Desire to work in a dynamic startup where your input is desired to help craft our offerings and how we interact with clients

Benefits

Compensation: We offer market-competitive compensation, based on the skill set and aptitude of the candidate