Customer Success Manager

Metropolis Metropolis · Vertical AI · United States · Remote · Growth

Customer Success Manager for an AI company, focusing on client relationships, operational oversight, and leveraging AI for efficiency in logistics. The role involves managing airline clients and vendor partners, presenting QBRs, overseeing operations, and partnering with Product/Engineering. Requires experience in customer success, data analytics, and familiarity with AI tools for operational improvement.

What you'd actually do

  1. Serve as the key point of contact and customer success manager for assigned airline clients and vendor couriers within the Bags, Inc. logistics line of business
  2. Develop and maintain strong, positive relationships with client representatives, proactively anticipating their needs and building long-term trust
  3. Lead the creation and presentation of quarterly business reviews (QBRs) and other regular performance reports to airline clients, translating complex data sets into actionable insights
  4. Oversee the day-to-day operations of vendor couriers, ensuring adherence to rigorous performance standards and service level agreements (SLAs)
  5. Seek and implement opportunities to leverage AI and other technologies to streamline workflows, improve operational costs, and enhance the customer experience, such as improving ETA delivery windows

Skills

Required

  • 5+ years of professional Customer Success Manager experience
  • Proven experience in relationship management and presentation creation for high-level audiences
  • Demonstrated experience or strong familiarity with data analytics and leveraging AI to drive efficiencies in logistics or account management
  • Excellent oral and written communication skills
  • Ability to communicate effectively with employees and clients to ensure fulfillment of performance requirements
  • Ability to maintain positive relationships with client representatives
  • Experience handling multiple priorities simultaneously
  • Proficiency with operational tracking systems
  • Experience leveraging AI tools to transform static workflows into responsive, high-output processes

What the JD emphasized

  • AI
  • AI tools
  • leveraging AI