Key Responsibilities

Day-to-Day Support & Oversight

  • Manage and directly support client chats, ensuring high responsiveness and quality.
  • Monitor support queues, step in to resolve escalations, and model best-practice communication.
  • Identify recurring issues, knowledge gaps, and client pain points in real time.

Knowledge Base & Documentation

  • Own the support knowledge base and FAQ resources; continuously fill gaps and refine articles.
  • Ensure documentation is clear, updated, and accessible for both clients and agents.
  • Partner with Product and Tech to feed back feature requests and recurring bug reports.


Leadership & Team Development

  • Scale and manage a distributed team of Support Agents, VAs, and regional pods.
  • Coach team members on empathetic communication, problem solving, and use of AI tools.
  • Define KPIs (response times, resolution times, CSAT/NPS, refund prevention) and drive performance.


Technology & AI Integration

  • Partner with the CTO to integrate AI chatbots and automation tools that reduce manual load.
  • Use analytics to identify themes, track client sentiment, and predict churn/refund risks.
  • Drive adoption of AI tools internally to boost agent productivity.

Requirements

Must-Have:

  • 9–8+ years in Customer Support/Customer Success, with at least 2–3 years in a leadership role.
  • Experience managing live chat teams and personally handling customer escalations.
  • Proven ability to build and maintain support documentation/knowledge bases.
  • Strong data-driven approach to identifying support themes and preventing churn.
  • Excellent written communication, conflict resolution, and customer empathy.
  • Global team management experience across multiple time zones.
  • SaaS, PaaS, or AI/tech industry experience.
  • Hands-on with tools like Intercom, Zendesk, Freshdesk, or custom chat/CRM solutions.


Benefits

What We Offer

  • A chance to design and lead a global support function in a hyper-scaling AI company.
  • Remote-first flexibility and global exposure.
  • Competitive compensation and performance-based incentives.
  • The opportunity to shape not just the team but also the client experience at scale.


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