To harness generative AI to fundamentally reimagine how millions of students learn, not incrementally improve what already exists, and to define what AI-powered education means.
Requirements
- Strong understanding of the K-12 marketplace and emerging AI trends.
- Proven experience delivering generative AI features such as natural language interfaces, smart recommendations, classroom copilots, or AI content generation tools that users love.
- Strong working knowledge of LLMs, prompt design, RAG pipelines, human-in-the-loop systems, evaluation metrics, and responsible AI practices.
- Skilled in product discovery, user research, and hypothesis-driven prioritization.
- Proficiency with Agile tools and processes (e.g., Jira, Confluence, Figma) and experience writing product artifacts that drive clarity and action.
Responsibilities
- Lead the full lifecycle of AI-driven features and tools - from discovery and design through development, launch, and rapid iteration based on feedback.
- Translate educator and student needs into solutions that use generative AI for genuine personalization, intelligent guidance, and measurable productivity gains.
- Use qualitative research, analytics, and experimentation to validate real user problems and prioritize opportunities that move the needle on learning outcomes.
- Define and maintain AI product roadmaps that balance ambitious vision with responsible AI principles – knowing when to push the boundaries and when to pump the brakes.
- Write clear, actionable requirements (epics, user stories, acceptance criteria) covering UI/UX behavior, data inputs, LLM prompts, evaluation criteria, and safety considerations.
Other
- Travel up to 20% to engage with school partners, educators, and internal teams as needed.
- Valid driver’s license and automobile insurance and a clean driving record for at least the preceding 39 months.
- Bachelor’s degree in Computer Science, Product Management, Education, Business, or a related field and at least 3 years of product management experience, including a minimum of 2 years working on SaaS or AI/ML products;
- Advanced degrees or certifications (e.g., AI Product Management, Agile, LPM).
