Regional Technical Services Leader - AI-Driven Support

wekatest; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Customer-centric culture

Inclusive hiring

Equal opportunity employer

Job summary

wekatest is seeking a Technical Services Manager to lead a regional team of Technical Service Engineers supporting an enterprise AI data infrastructure platform for GPU-accelerated workloads. The role blends people leadership, customer-success strategy, and an AI-first operating model that uses large language models to speed up triage, knowledge retrieval, and customer communication.

The manager partners with engineering, product, and sales to keep customer outcomes central and to embed

Qualifications

• Proven experience leading regional or global technical services teams.
• Excellent written and verbal communication, able to present to senior management and R&D.
• Strong organizational, project management, and lifecycle knowledge.
• Bachelor's degree in Computer Science or Engineering, or equivalent.
• Experience implementing AI-assisted workflows to augment engineer capabilities.

Responsibilities

• Lead, mentor, and develop a regional team of Technical Service Engineers.
• Cascade goals and maintain focus on reliable execution.
• Develop strategies for Technical Services delivery and differentiation.
• Champion AI tools (Claude and ChatGPT) for faster troubleshooting and knowledge retrieval.
• Coordinate cross-functional alignment with engineering, product, and sales.

Skills

People leadership

Communication

Project management

Product lifecycle

Technical services leadership

Education

Bachelor's degree in Computer Science or Engineering

Tools

Claude

ChatGPT

Job description

wekatest is seeking a Technical Services Manager to lead a regional team of Technical Service Engineers supporting an enterprise AI data infrastructure platform for GPU-accelerated workloads. The role blends people leadership, customer-success strategy, and an AI-first operating model that uses large language models to speed up triage, knowledge retrieval, and customer communication.

The manager partners with engineering, product, and sales to keep customer outcomes central and to embed