Jellyfish is seeking a GCP and AI Instructor to join their global team. This role involves delivering high-quality instruction on Google Cloud and AI technologies to enterprise clients globally. This is a 12-month fixed-term contractual position with hybrid working arrangements. Responsibilities: Deliver virtual classroom sessions globally and occasional face-to-face training. Instruct courses covering Google Cloud certification paths and AI-related topics including Gemini Enterprise, Gemini Enterprise Agent Platform, and GenAI architecture. Develop custom courseware and materials as needed. Maintain current GCP certifications and stay updated on the evolving GCP and AI landscape. Requirements: Minimum of 5 years of experience with Cloud Technologies. A wide range of current Google Cloud certifications is essential. Strong understanding of AI-related topics. Experience in systems operations, including deploying and managing applications on-premises or in public cloud environments. Excellent presentation and communication skills, comfortable training enterprise-level clients. Ability to work flexible hours for global delivery and potential for international travel. Preferred: Second languages, strong business awareness, and experience with competitor landscapes.
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A focused preparation guide, built around this job’s responsibilities and requirements.
✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01
Understand the role
What matters most
Technical Proficiency in GCP and AI
You must maintain a broad range of current Google Cloud certifications and demonstrate deep expertise in AI topics, specifically Gemini Enterprise, Gemini Enterprise Agent Platform, and GenAI architecture. This is critical for delivering accurate, high-level instruction to enterprise clients.
Global Instructional Delivery
The role requires delivering training across multiple time zones in virtual and occasional face-to-face settings. You must be comfortable presenting complex technical concepts to large, enterprise-level audiences while maintaining high engagement levels.
Continuous Knowledge Adaptation
The GCP and AI landscape evolves rapidly. You are expected to proactively stay updated on new features and industry shifts to ensure course materials remain relevant and accurate for clients.
Likely challenges to think through
Balancing Technical Depth with Pedagogical Clarity
Enterprise clients often have varying levels of expertise. The challenge is translating complex GenAI architecture and cloud operations into accessible, actionable training. Prepare by practicing how you explain high-level technical concepts to non-technical stakeholders or mixed-ability groups.
Managing Global Scheduling Demands
The requirement for flexible hours to accommodate global delivery can disrupt standard work-life balance. Prepare by demonstrating your experience with asynchronous communication and your ability to maintain high energy and focus during non-standard working hours.
Rapid Curriculum Customization
You may be required to develop custom courseware on short notice to meet specific client needs. Prepare by highlighting your experience in instructional design or your process for quickly synthesizing technical documentation into structured learning modules.
03
Practice your answers
Technical practice
Explaining GenAI Architecture in GCP
What to coverBe prepared to describe the core components of Google Cloud's generative AI stack. Focus on how Gemini Enterprise integrates with existing cloud infrastructure and the role of the Gemini Enterprise Agent Platform in building scalable AI solutions.
Managing Cloud Infrastructure and Systems Operations
What to coverDiscuss your experience deploying and managing applications in public cloud environments. Highlight your ability to troubleshoot common operational challenges and explain how you would teach these concepts to enterprise clients.
Adapting Training for Diverse Technical Audiences
What to coverExplain your methodology for simplifying complex Google Cloud certification topics for different skill levels. Focus on how you structure multi-day sessions to ensure engagement and knowledge retention for enterprise-level participants.
Staying Current with Evolving AI Technologies
What to coverDescribe your process for keeping up with rapid updates in the GCP and AI landscape. Suggestion: Mention specific resources like Google Cloud release notes, whitepapers, or hands-on experimentation with new features.
Developing Custom Courseware
What to coverDetail your approach to creating training materials that meet specific client requirements. Discuss how you balance standard certification curriculum with the need for custom, business-relevant examples.
Troubleshooting Cloud Deployments
What to coverProvide a conceptual framework for diagnosing issues in a cloud environment. Focus on identifying bottlenecks, security misconfigurations, or scaling problems that enterprise clients often face.
Integrating Gemini Enterprise into Workflows
What to coverExplain the practical application of Gemini Enterprise tools for business automation. Discuss the trade-offs between using pre-built AI agents versus custom-developed solutions.
Comparing GCP with Competitor Landscapes
What to coverBe prepared to discuss how Google Cloud's AI and infrastructure offerings compare to other major cloud providers. Focus on unique value propositions like data integration, AI capabilities, and ecosystem maturity.
Behavioural practice
Handling Difficult or Disengaged Participants
What to coverDescribe a situation where you had to manage a challenging training environment. Use the STAR method to explain how you identified the issue, the specific actions you took to re-engage the audience, and the final outcome.
Managing Global Delivery and Flexible Hours
What to coverDiscuss your experience working across different time zones and managing a non-traditional schedule. Provide an example of how you maintained high energy and quality standards while delivering training globally.
Communicating Technical Concepts to Leadership
What to coverShare an example of a time you had to explain a complex technical strategy to non-technical stakeholders or leadership teams. Focus on how you translated technical requirements into business value.
Collaborating in a Diverse, Global Team
What to coverDescribe a project where you worked with a diverse group of experts to deliver a solution. Highlight how you leveraged different perspectives to improve the final outcome or training material.
02
Sharpen your knowledge
Topics to prepare
Generative AI Architecture
Review the core components of GenAI architecture on Google Cloud, specifically focusing on how Gemini Enterprise and the Gemini Enterprise Agent Platform integrate into existing cloud workflows. Practice explaining the lifecycle of an AI agent from data ingestion to deployment to ensure you can teach these concepts to enterprise clients.
Google Cloud Certification Paths
Review the current Google Cloud certification catalog, including Professional Cloud Architect, Data Engineer, and Machine Learning Engineer paths. Prepare to discuss the specific learning objectives for each, as you will be required to instruct students across these diverse certification domains.
Skills to revise
Technical Training Delivery
Practice delivering a complex technical topic in a virtual classroom setting. Focus on maintaining engagement with enterprise-level audiences, managing Q&A sessions, and simplifying advanced cloud concepts for learners with varying levels of expertise.
Systems Operations and Deployment
Refresh your knowledge on deploying and managing applications in public cloud environments. Create a mock scenario where you troubleshoot a deployment issue in GCP, as this practical experience is essential for providing real-world context during your training sessions.
Courseware Development
Draft a sample lesson plan or a set of presentation slides for a hypothetical module on Gemini Enterprise. This demonstrates your ability to create custom training materials, which is a key responsibility for this role.
04
Your preparation checklist
Compile a comprehensive certification summary
Create a clear list of all your active Google Cloud certifications. Since the role requires a wide range of credentials, organize them by category (e.g., Associate, Professional, Specialty) to demonstrate your breadth of expertise for the application.
Prepare an AI-focused teaching demonstration
Develop a 5-10 minute sample lesson plan or presentation deck covering a specific AI topic like Gemini Enterprise or GenAI architecture. This demonstrates your ability to simplify complex technical concepts for enterprise-level clients.
Document your systems operations experience
Draft a summary of your past projects involving application deployment and management in public cloud environments. Focus on specific challenges you solved and how you would translate those practical experiences into effective classroom instruction.
Formulate strategic questions for the interview
Prepare questions regarding the typical audience profile for these enterprise training sessions, the current balance between virtual and face-to-face delivery, and the internal process for updating courseware as GCP and AI technologies evolve.
Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy
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