Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. 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. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Start: ASAP
Hours: 10 hours per week for 5 weeks (for a grand total of 50 hours) (Ends by July, 2026) (Most of your hours will be asynchronous - you will be vetting and iterating with our team- not building content from scratch yourselves.)
Compensation Range: $60 - $80 per hour
Location: Remote
About the engagement
General Assembly is building a reskilling program for the Client’s Customer Success & Account Managers transitioning into AI-powered product management roles. You'll serve as the subject matter expert for Pathway 1, validating curriculum content built by our Learning Experience Design team and ensuring it reflects how AI product management actually works in practice.
What you'll do
- 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
What you bring
- 7+ years in product management with 2+ years shipping AI-powered features in production
- Hands-on experience with AI product discovery frameworks — JTBD, OKRs applied specifically to AI features
- Strong customer-discovery instincts and product prioritization skills relevant to AI roadmapping
- Working knowledge of positioning and scoping LLM-powered products internally and externally
- Familiarity with Microsoft product suite (Copilot, Azure AI Foundry) preferred
- AI-900 or AI-102 certification a plus
- Former PM or GPM at Microsoft, Google, or similar company is a strong plus
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.
General Assembly Austin, Texas, USA Office
Austin, United States
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
