AI-Powered Customer Success Lead

Sportsdigita, LLC

United States

À distance

USD 75 000 - 105 000

Plein temps

Il y a 9 jours

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Résumé du poste

Sportsdigita, LLC is building a next-generation Customer Success team that blends AI with human guidance to accelerate onboarding, ensure value, and drive renewals as the natural outcome. You’ll own customer relationships from day one and influence product direction from the field.

As a Customer Success Manager, you’ll lead onboarding, manage the knowledge base, coordinate with product, engineering, and design, and use data to anticipate risks and growth opportunities.

Qualifications

  • 3+ years in a customer-facing role, SaaS preferred.
  • Proven ability to use AI tools to draft responses and analyze data.
  • Strong written communication and problem-solving under pressure.
  • Experience with CRM and help desk platforms.

Responsabilités

  • Use AI to accelerate the queue by drafting responses and summarizing threads.
  • Own the customer success inbox, triage, and escalate when needed.
  • Run onboarding for new customers with kickoff, configuration, and value guidance.
  • Deliver product training 1:1 and in groups, explaining AI capabilities.
  • Coordinate with product, engineering, and design to meet timelines.
  • Be signal path from field to roadmap and help shape feature rollout.
  • Monitor health signals and drive renewal-oriented conversations.

Connaissances

AI fluency
Customer empathy
Written communication
Project management
CRM proficiency
Cross-functional collaboration

Outils

Zendesk
Intercom
Help Scout
Salesforce
HubSpot

Description du poste

Sportsdigita, LLC is building a next-generation Customer Success team that blends AI with human guidance to accelerate onboarding, ensure value, and drive renewals as the natural outcome. You’ll own customer relationships from day one and influence product direction from the field.

As a Customer Success Manager, you’ll lead onboarding, manage the knowledge base, coordinate with product, engineering, and design, and use data to anticipate risks and growth opportunities.

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