Job Title: Lead Instructor

Company: General Assembly

Client: Confidential

Lesson Date: May 7th

Format: Fully Virtual

Session Duration: 90-minute lesson + 30-minute client demo + prep time

Compensation: $875 flat fee (inclusive of prep, demo, and delivery)

Schedule Requirements

• Client Demo: Must be available for a 30-minute demo session for the client (Date TBD).
• Internal Prep: Available for asynchronous preparation, and internal dry-run sessions to ensure consistency at scale.
• Live Delivery: May 7th (90-minute session).

Role Overview

General Assembly is seeking a senior-level Lead Instructor to deliver a high-impact, 90-minute virtual training session on Generative AI tools for our client on May 7th. The ideal candidate is a "maestro" of virtual environments, capable of commanding a room of over 100 participants while managing complex logistics like breakout rooms and live, unscripted demonstrations. You will model how Enterprise AI tools can be integrated into workplace functions, maintaining a high-energy, engaging environment. Curriculum and content is already created, General Assembly is seeking a master trainer to facilitate.

Key Responsibilities & Requirements

1. Virtual Facilitation & Room Mastery

• Command the Room: Expertly manage and engage a virtual audience of 100+ participants.
• Orchestration: Act as a maestro of virtual platforms—managing breakout rooms, screen sharing, and stakeholder engagement simultaneously.
• Adaptive Pacing: Read the room and adapt delivery for large groups, modifying tone and expectations based on learner abilities (from individual contributors to executives).
• Live Facilitation: Provide spontaneous, "thinking-out-loud" live demos using real business use cases. You must be able to troubleshoot tool issues or prompt errors on the fly in front of a live audience.

2. Technical Expertise (Google AI Ecosystem)

• Tool Mastery: Deep hands-on experience with Gemini, Gems, Notebook LM, and Google Workspace Studio.
• GSuite Integration: Fluent across the full Google ecosystem (Sheets, Slides, Docs) and how AI features operate within them.
• Advanced Prompting:

• Apply structured and iterative techniques (e.g., Role, Objective, Specifics, or GCSE).
• Use layered prompt engineering with document uploads to extract key actions and generate structured summaries.
• Design multi-step prompt workflows and task chains that simulate decision-making.

• Data Transformation: Use GenAI to transform unstructured data from multiple sources (PDFs, spreadsheets) into usable, presentation-ready content.

3. Instructional Leadership & Methodology

• Industry Context: Experience in Food Delivery, Marketplace, Supply Chain, or Logistics is highly preferred to ensure use cases are relevant.
• Scaffolded Approach: Articulate a structured learning path, explaining what GenAI is and how it supports specific business objectives.
• Collaborative Leadership: Proactively coordinate with Associate Instructors (IAs) and lead team members through their responsibilities.
• Professional Tone: Frame delivery as a "co-worker showing how I do this" rather than a traditional trainer, maintaining a contagious energy and passion for the topic.

Required Qualifications

• Senior Expertise: Proven experience in modeling Enterprise AI tools for professional workplace functions.
• Google Specialist: Prior experience specifically with Google Suite tools is required (not just general AI knowledge).
• Organizational Excellence: Hyper-organized and diligent in the preparation of content and instructional methodology.
• Engagement Obsessed: A deep focus on creating an engaging student experience for every learner.