Lightcast

Lightcast

Director of Customer Technical Support - 1021

Moscow, ID · Director · Part-time

Sponsorship not specifiedDetected 105 days ago
Product ManagementProduct StrategyCustomer SupportLeadershipMentoringOrganizational Skills

About the role

  • The role focuses on delivering long term technical stability and excellence for a global client base.
  • A primary focus is the professional development of early career representatives and the management of a specialized part time workforce in Idaho.
  • Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India.

Responsibilities

  • Manage a Moscow-based part-time team with complex scheduling and resource planning.
  • Oversee India team operations to ensure seamless handoffs and consistent global support.
  • Partner with SVP of Client Success & Support to drive support strategy and efficiency.
  • Optimize knowledge base and documentation to enhance customer experience.
  • Lead adoption of AI-driven, self-service support solutions.
  • Enable engineers to identify root product issues and deliver strategic solutions.
  • Implement scalable processes for consistent, high-quality service delivery.
  • Adapt support strategies to evolving client needs and technical complexity.
  • Partner cross-functionally to inform product roadmap with client feedback.
  • Drive innovation through a culture of creativity and solution-focused thinking.

Requirements

  • Experience managing international teams, including India-based operations.
  • Experience managing part-time teams and complex scheduling.

Benefits

  • Mentor global technical support teams (Moscow, India) to deliver 24/6 coverage.
  • Set performance standards and drive continuous learning through training and knowledge sharing.
  • Establish reporting cadences to surface technical health and product risks.
  • Education & Experience:

This listing is sourced directly from Lightcast's careers page and normalized into a canonical job model.