Lead Instructor: AI-Enabled Product Manager

General Assembly; United States; Remote; GBP 10,285 - 12,570; Part time

Job summary

General Assembly is seeking a Lead Instructor: AI-Enabled Product Manager for a 2-week remote engagement. You will guide professionals transitioning into AI product management roles, deliver live lectures, and provide mentorship on AI frameworks and Microsoft tools. The ideal candidate has over 7 years in product management, experience with AI initiatives, and proven teaching skills. Commitment is 30 hours/week during West Coast business hours. Compensation is $15,500 for the project.

Qualifications

• 7+ years in product management, with 2+ years of AI feature experience.
• Proven ability to teach AI concepts to non-engineers.
• Familiarity with AI product metrics (OKRs, JTBD).
• Certifications AI-900 or AI-102 are a plus.

Responsibilities

• Deliver live remote lectures on AI product discovery.
• Lead interactive sessions and hands-on exercises.
• Guide learners on AI roadmapping and product prioritization.
• Provide technical mentorship on Microsoft product tools.
• Evaluate student progress and give actionable feedback.

Skills

Product management expertise

Teaching or mentoring experience

AI product discovery frameworks knowledge

Technical fluency in Microsoft products

Tools

Microsoft Copilot

Azure AI Foundry

Job description

Lead Instructor: AI-Enabled Product Manager

U.S. Remote

Client: Confidential – Customer Success Reskilling

Location: Remote (Must work West Coast / Pacific Time hours)

Duration: 2 Weeks (Starting Mid-June)

Commitment: Roughly 30 hours per week

Compensation: $15,500 total for the project

About the Engagement

General Assembly is delivering an intensive reskilling program designed to transition Customer Success and Account Management professionals into AI-powered product management roles.

As the Lead Instructor, you will move beyond high-level validation to direct delivery. You will be responsible for guiding experienced professionals through the practical application of AI in product management, ensuring they can effectively discover, prioritize, and scope AI-driven features in a real-world business context.

What You’ll Do

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

What You Bring

• Professional Expertise: 7+ years in product management with at least 2+ years of hands‑on experience shipping AI-powered features in a production environment.
• Instructional Ability: Proven experience teaching or mentoring professionals, with the ability to simplify complex AI concepts for a non‑engineering audience.
• Strategic AI Knowledge: Deep familiarity with AI product discovery frameworks; ability to apply standard PM metrics (OKRs, JTBD) specifically to AI-driven initiatives.
• Technical Fluency: Working knowledge of the Microsoft ecosystem, including Copilot and Azure AI Foundry.
• Certifications & Background: AI‑900 or AI‑102 certification is a significant plus. Experience as a PM or GPM at a major tech firm like Microsoft or Google is strongly preferred.

Note on Schedule: This role requires a full-time commitment of 30 hours per week for a 2‑week duration starting in mid‑June. All instruction and support must be delivered during West Coast (Pacific Time) business hours.

As set forth in General Assembly’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.