Georgia General Assembly

• Teach and facilitate in class instruction Monday-Friday, approximately 8 hours per day, for the 10-14 week duration of the program. • Instructors will need to commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content. • Work closely with co-instructors or teaching assistants to provide students with meaningful and prompt feedback on their progress. • Work alongside GA staff and teaching team to best meet the needs and learning styles of your students. • Guide students through development of a stellar final project that will showcase their abilities to hiring managers. • Facilitate a dynamic, collaborative, and positive classroom community. • Inspire students to persevere through the challenges of learning a new skill set.

• Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring. • Translate high-level MLOps concepts into digestible insights for learners. • Guide students through self-paced exercises and live troubleshooting. • Provide real-time feedback during dedicated lab hours. • Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.

• Deliver high-energy remote lectures on PMM fundamentals • Guide students through hands-on activities creating messaging frameworks • Leverage learners' strengths for AI-driven customer stories • Provide expert feedback on student projects • Teach use of analytics and AI content tools

• Lead synchronous remote lectures and "build-along" sessions • Guide students through hands-on exercises including agent design patterns and API integration • Provide real-time troubleshooting and debugging support in Python • Break down complex systems-thinking into actionable steps • Hold dedicated sessions for student feedback and guidance

• Deliver live, high-impact remote lectures on AI product discovery frameworks, including Jobs-to-be-Done (JTBD) and OKRs applied to AI features. • Lead "prompt-along" sessions and guide students through hands-on, self-paced exercises to ensure technical and conceptual mastery. • Help learners navigate the nuances of AI roadmapping, product prioritization, and the internal/external positioning of LLM-powered products. • Provide expert guidance on using the Microsoft product suite, specifically Copilot and Azure AI Foundry, within the product management lifecycle. • Evaluate student progress and provide actionable feedback on their ability to scope and define AI-enabled product features.

• Deliver a high-impact, 90-minute virtual training session on Generative AI tools for our client on May 7th. • Expertly manage and engage a virtual audience of 100+ participants. • Act as a maestro of virtual platforms—managing breakout rooms, screen sharing, and stakeholder engagement. • Provide spontaneous, "thinking-out-loud" live demos using real business use cases.

• Review and validate competencies and learning objectives for the AI-Enabled PM pathway • Provide feedback on instructional slide content generated via Gaia (GA's AI-assisted build tool) • Review async assets including prompt-alongs and self-paced exercises for accuracy and relevance • Participate in one structured SME review gate (approximately 1 week, late May) • Provide a single round of revision feedback for the LED to implement before QA

• Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer pathway • Validate technical accuracy of instructional slide content covering ML pipelines, model deployment, monitoring, and governance • Review async assets including prompt-alongs and self-paced exercises for technical correctness and appropriate difficulty level for the learner population (experienced customer-facing professionals, not engineers) • Participate in one structured SME review gate (approximately 1 week, early June) • Provide a single round of revision feedback for the LED to implement before QA

• Drive revenue growth through new business development by deeply understanding how GA can partner best with our clients on an ongoing basis • Prepare and deliver compelling sales presentations and coordinate and drive the development of sales proposals • Maintain and build rapport with senior executives to formulate strong, long-term business relationships • Lead negotiation of prices and contracts, and understands the legal ramifications of contracts • Maintain a thorough working knowledge of GA’s product and service offering, pricing structure, contract management parameters, policies, and procedures • Develop and maintain a pipeline according to targets, and provide clear and accurate reporting of sales outcomes and activities • Partner across the business with Product, Marketing, Legal, Finance and the Delivery team to close deals.