Product Manager, Edtech (AI enabled)
JoVEThis Product Manager role involves owning the end-to-end consumer experience for an educational video platform. You will lead 0-1 product initiatives specifically focused on AI-driven personalized learning.
What you’d own
- B2C product roadmap for JoVE Coach
- AI and LLM application integration
- Market research and competitive analysis
- Cross-functional project execution with engineering
Who it’s for
A fit if you…
- ✓You have 3-5 years of experience building products from 0-1
- ✓You are comfortable working directly with engineering on technical rails
- ✓You have a strong grasp of LLM capabilities and prompt engineering
- ✓You have a background in B2C, Edtech, or L&D
Not for you if…
- ✗You prefer established products over 0-1 building
- ✗You prefer a highly structured environment over remote autonomy
- ✗You lack experience with AI tools and LLM APIs
Reading between the lines
- The emphasis on 'identifying practical applications of AI' suggests you will be expected to act as a technical product architect for AI features, not just a project manager.
- The requirement to work in an 'evolving environment' with 'autonomy' implies high ambiguity and a need for self-directed prioritization.
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Full job description
About JoVE
See all roles →JoVE is a peer-reviewed video platform for scientific research and education, with a library of over 30,000 videos that show lab methods and explain science concepts in action. Its products span a research video journal, an encyclopedia of experiments, and education content for biology, chemistry, engineering, and business, sold mainly to universities, libraries, and biopharma companies. More than 1,800 institutions worldwide subscribe, including Cambridge, ETH, and Memorial Sloan Kettering, and the pitch centers on improving experiment reproducibility and student outcomes. Founded in 2006 and based in Cambridge, Massachusetts, JoVE is an established subscription-driven business, making it a good fit for PMs who want to work on content and education products at scale.
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