General Assembly

General Assembly

Lead Instructor: AI-Enabled Product Manager

U.S · Mid · Part-time

Sponsorship not specified$12k-$16kDetected 77 days ago
AzureLLMsProduct ManagementProduct StrategyRoadmappingOKRsAccount ManagementCustomer SuccessMentoring

About the role

  • Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills.
  • In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning.

Responsibilities

  • Facilitate Interactive Sessions: Lead "prompt-along" sessions and guide students through hands-on, self-paced exercises to ensure technical and conceptual mastery.
  • 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.
  • 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.

Requirements

  • 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 and the 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.
  • All instruction and support must be delivered during West Coast (Pacific Time) business hours.
  • Evaluate student progress and provide actionable feedback on their ability to scope and define AI-enabled product features.
  • Proven experience teaching or mentoring professionals, with the ability to simplify complex AI concepts for a non-engineering audience.
  • Deep familiarity with AI product discovery frameworks and the ability to apply standard PM metrics (OKRs, JTBD) specifically to AI-driven initiatives.
  • 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.
  • Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
  • United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Nice to have

  • 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.
  • Certifications & Background: AI-900 or AI-102 certification is a significant plus.

Skills

  • Our global professional community boasts 60,000 full- and part-time alumni - and counting.
  • More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives.
  • GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work.

Compensation

  • $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

Company info

  • General Assembly
  • Client: Confidential - Customer Success Reskilling
  • Duration: 2 Weeks (Starting Mid-June)
  • Commitment: Roughly 30 hours per week

This listing is sourced directly from General Assembly's careers page and normalized into a canonical job model.