Entry Level Technical Enablement Specialist 2026

Position Overview

At IBM, work is more than a job – it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk. You will join the IBM Z Ecosystem team that supports IBM clients, ISV's, business partners, and internal teams worldwide. In this role as an Entry Level Technical Enablement Specialist, you will gain exposure to enterprise-class systems, modern automation, and hybrid cloud environments.

Key Responsibilities

• Contribute to performance testing and IT economics studies.
• Contribute to IBM Z and LinuxONE capacity and performance studies.
• Design, deploy, and ensure readiness of infrastructure supporting IBM Z and LinuxONE technology, including networking and storage environments.
• Design and build client-ready demos, workshops, and labs focusing on IBM Z and LinuxONE hardware and software.
• Coordinate speaker preparation, event materials, track attendance and engagement, and compile reporting on events.
• Provide scheduling, meeting coordination, and follow-up support for Z Skills program workstreams.

Required Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.
• Flexible, self-starter mindset to adapt to a dynamic work environment.
• Foundational Linux knowledge.
• Basic understanding of operating systems, networking concepts, or databases.
• Demonstrated curiosity and willingness to learn enterprise technology.
• Strong communication and collaboration skills.
• Excellent organizational skills with exceptional attention to detail and follow-through.

Preferred Qualifications

• Foundational IBM Z and LinuxONE knowledge.
• Familiarity with agile development practices.
• Programming experience.
• Experience with automation.
• Knowledge of containerization.
• Exposure to data science and AI.
• Customer service experience.
• Program/project management experience.
• Experience with metrics and data tracking for program reporting.