Customer Success Lead

June 24, 2026
Application ends: September 22, 2026

Job Description

REQUIREMENTS

  • C1–C2 English level required, with excellent spoken and written communication skills.
  • Strong interpersonal skills and a customer-first mindset, with the ability to build trust-based relationships.
  • Experience running customer conversations, demos, onboarding calls, or sales-adjacent conversations.
  • Background in go-to-market, customer success, growth, or community at an early-stage startup or SaaS company is highly beneficial.
  • Familiarity with creators, podcasters, content operators, or marketing tools is a strong plus.
  • Ability to explain complex concepts simply and persuasively.
  • Hands-on customer support or customer success experience, including resolving issues, gathering feedback, and advocating for customers internally.
  • Analytical skills to interpret customer feedback, experiment results, funnel performance, and usage patterns.
  • Comfortable operating in a fast-changing environment where the playbook is still being built.
  • Self-directed, organized, and able to prioritize without waiting for step-by-step instructions.
  • Comfortable using AI tools as part of daily work.
  • Bachelor’s degree in Business, Marketing, Communications, or equivalent practical experience preferred.

RESPONSIBILITIES

  • Lead demos, customer calls, and weekly group demo sessions.
  • Own early customer touchpoints, including onboarding, follow-ups, and ongoing relationship management.
  • Run and support Convia’s webinar / live series, including guest coordination, programming, production cadence, and follow-through.
  • Support newsletter execution and ensure customer-facing communication stays consistent and sharp.
  • Collect, organize, and communicate customer feedback to product, QA, and engineering.
  • Help test and refine messaging across sales, onboarding, webinars, email, and customer conversations.
  • Create simple playbooks for demos, onboarding, customer success, and retention.
  • Track customer and revenue signals, identify patterns, and translate insights into

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