Production Support Supervisor

Tsunami TsolutionsGlastonbury, CT
Hybrid

About The Position

The Product Support Team Supervisor is a high-velocity, forward-thinking leader responsible for driving operational excellence, proactive client engagement, and perpetual process improvement. This role champions a culture of immediate client urgency while actively engineering friction out of our operations. By identifying workflow bottlenecks, automating repetitive processes, and aggressively leveraging in-house Artificial Intelligence (AI) tools, you will elevate team throughput and ensure world-class support for our aerospace and defense clients.

Requirements

  • Bachelor’s degree (BA/BS) in Computer Science, Information Systems, Mathematics, Engineering, or a closely related technical field.
  • 2+ years of hands-on experience in aerospace, supply chain, configuration management, or aircraft/engine maintenance environments.
  • Familiarity with modern Information Technology Service Management ticketing tools, data analytics platforms, and basic query/batching logic (e.g., SQL).
  • Proven track record of moving operations forward through change enablement, workflow automation, or technical optimization.
  • Exceptional verbal and written communication skills, with the distinct ability to translate deep technical anomalies into clear, business-friendly insights for clients and executives.
  • Must be willing and able to pass a background investigation, drug screening, and the mandatory P&W Legal Check.

Responsibilities

  • Lead from the front to instill a sharp sense of urgency across all programs, ensuring the team meets and exceeds aggressive client timelines and Service Level Agreements.
  • Act as the primary technical lead for escalated issues, rapidly resolving complex customer problems while maintaining an unflappable, solutions-oriented demeanor.
  • Maintain transparent, high-impact communication with clients, program managers, and directors regarding team metrics, performance milestones, and critical blocker resolution.
  • Run structured daily standups to optimize team workload distribution, maintain data quality, and guarantee rigorous quality assurance (QA) on all deliverables.
  • Actively evaluate the service desk architecture to identify manual tasks, eliminate redundant workflows, and implement automated solutions.
  • Actively champion and integrate in-house AI tools into daily workflows to accelerate ticket resolution, optimize data analysis, and scale team capabilities.
  • Analyze system data and ticket trends to uncover root causes of recurring discrepancies, turning data points into proactive, long-term system fixes.
  • Author and maintain dynamic, clear technical documentation and instructions to upskill team members and streamline self-service resolutions.
  • Serve as a dedicated coach to your team members, actively mentoring them in technical agility, rapid problem-solving, and the adoption of internal AI tools.
  • Foster a culture of continuous learning, empowering individual contributors to take ownership of their workflows and scale their technical capabilities.
  • Build strong partnerships with peer supervisors across the department and company-wide synchronizing operational strategies, sharing automation insights, and breaking down traditional silos.
  • Balance workloads and collaborate on department-wide process improvements to ensure a seamless, high-velocity support ecosystem for our teams and clients.
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