About The Position

We’re looking for a technically minded, AI-forward Customer Success Manager to help customers build AI-first customer programs and maximize value from the Base platform through a combination of strategic guidance, workflow design, platform configuration, and hands-on solution delivery. This role sits at the intersection of Customer Success, Solutions Consulting, and implementation. You'll help customers identify opportunities for AI-powered scale and growth, design solutions, launch new use cases, and continuously expand the value they receive from the platform.

Requirements

  • 4+ years of experience in Technical Customer Success, Solutions Consulting, Professional Services, Solutions Engineering, Technical Account Management, or similar customer-facing roles in tech companies
  • A blend of technical expertise (integrations, CRM implementation, software configuration) and project management skills
  • Strong consultative problem-solving skills and the ability to translate customer goals into practical solutions
  • Strong communication skills and confidence working directly with customers
  • Comfortable operating independently in a fast-moving environment
  • Curious, proactive, and eager to learn new technologies and use cases

Nice To Haves

  • Experience with customer marketing, advocacy, community, scaled/digital CS program, or RevOps/CSOps

Responsibilities

  • Manage a portfolio of customer accounts
  • Understand customer goals, workflows, and business objectives
  • Drive adoption, value realization, and long-term customer success
  • Identify opportunities to improve customer outcomes through new AI insights, Agents, workflows, modules, and use cases
  • Act as a trusted advisor and partner to customer stakeholders
  • Train and enable customers on platform capabilities and best practices
  • Innovate and help companies create GOAT-level customer programs and experiences.
  • Design customer experiences and programs with our vibe-coding studio and agentic /standard workflows and automations within the platform
  • Independently lead basic integrations, smaller implementations, module launches, and expansion projects
  • Partner with onboarding resources on larger or more complex deployments, and with R&D teams when advanced technical support is required
  • Leverage AI tools and automation to increase productivity and customer impact
  • Identify Customer Success Qualified Leads (CSQLs) and expansion opportunities
  • Surface customer feedback, product gaps, and emerging use cases to internal teams
  • Contribute ideas that help scale customer success operations through AI and automation
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