We are interested in hearing from experienced Enterprise Trainer professionals who can deliver Low-Code / No-Code Tools training for organisations operating in and around Muscat.

Opportunity Overview

An upcoming client brief requires a capable trainer who can lead Low-Code / No-Code Tools learning engagements for professional teams, managers, and cross-functional business users across Asia. Success in the role depends on practical facilitation, business relevance, and the ability to help clients translate emerging AI capability into practical business use and team-level adoption.

Assignments may range from focused workshops to short capability programmes, depending on the client scope, learner profile, and delivery context. The strongest candidates will be able to adapt content without losing clarity or commercial relevance.

Key Areas of Responsibility

• Refine materials where needed so the programme remains current, usable, and appropriate for the target audience.
• Adapt delivery to the client brief, participant seniority, and the sector context without losing clarity or pace.
• Keep the learning intervention aligned with business priorities, not just topic coverage, so the work delivers visible value to the client.
• Use practical case studies, scenarios, tools, or workflows to make Low-Code / No-Code Tools content easier to apply after the session.
• Facilitate discussion, questions, and applied exercises in a way that keeps learning commercially relevant and outcome-focused.

Preferred Background

• Proven subject-matter credibility in Low-Code / No-Code Tools with evidence of practical business or corporate application.
• Availability for project-based work linked to Muscat, Oman, and wider Asia where relevant.
• Good judgement around pacing, audience engagement, and the balance between technical depth and usability.
• Comfort operating in Hybrid settings and handling the logistical realities of live corporate delivery.
• A professional background that supports credibility with enterprise, multinational, or client-facing training audiences.

Relevant practitioner-level experience in Low-Code / No-Code Tools; strong facilitation and stakeholder communication; commercial understanding of AI tools, business application scenarios, and safe adoption practices; able to structure sessions that balance concept, discussion, and application.

Preferred candidates will bring exposure to AI adoption, automation, digital transformation, or business technology enablement, along with experience working with managers, professional learners, or client-facing business teams.

Register Your Interest

The expected delivery mode for this brief is Hybrid, and the role should be approached as a Short Series requirement.

If this assignment fits your profile, please submit details of your facilitation experience, subject focus, and the types of client groups you typically support.