Manager of Customer Success

Company: EasyLlama

Employment Type: Full-Time

Location: 100% Remote – US (approved states only)

Compensation: $130,000 – $150,000 (USD, base salary)

Category: Customer Success & Support

Close date or Apply by date: Not disclosed

WHY THIS ROLE MADE THE CUT

• Fully remote (no hybrid or office requirements)

• Full-Time role

• Job is listed on company site with a direct link to apply

• Legitimate, established company

• Posted within the last 14 days OR includes a clear deadline to apply

• Clear salary range is disclosed

ROLE SNAPSHOT

EasyLlama is hiring a Manager of Customer Success to oversee a team of 5-6 talented CSMs ensuring customers achieve measurable value from their HR compliance training platform serving 5,000+ clients including Shake Shack, WeightWatchers, and Sephora. You'll lead and manage daily operations of the Customer Success team, coach and develop team members on renewal mechanics and account management best practices, oversee renewal and expansion opportunities supporting CSMs in driving growth and minimizing churn, manage customer escalations with solutions-oriented approach, maintain forecasting accuracy providing visibility into renewal pipelines, and partner cross-functionally with Sales, Product, and Marketing to drive alignment on customer needs. This leadership role requires proven people management experience developing high-performing teams, skill in renewal and expansion strategy with strong understanding of customer lifecycle management, passion for coaching and actionable feedback, and SaaS Customer Success experience managing similar-sized teams with CRM-based forecasting (HubSpot preferred).

KEY WORDS TO INCLUDE IN YOUR RESUME/COVER LETTER IF YOU APPLY:

• Customer Success management

• Team leadership and coaching

• Renewal and expansion strategy

• Customer lifecycle management

• CRM forecasting (HubSpot preferred)

• SaaS customer success

• Account management

• Churn reduction

• Cross-functional collaboration

• Process optimization

Keywords are suggested based on the language used in the employer's job description to help applicants align with automated screening systems.

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