Imagine Learning is looking for a product leader to harness generative AI to fundamentally reimagine how millions of students learn in K-12 education, moving beyond incremental improvements to define what AI-powered education means.
Requirements
- 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 - you can debate temperature settings and know when to use few-shot vs. fine-tuning.
- Proficiency with Agile tools and processes (e.g., Jira, Confluence, Figma) and experience writing product artifacts that drive clarity and action.
- A strong understanding of the K-12 marketplace and emerging AI trends is essential.
- Skilled in product discovery, user research, and hypothesis-driven prioritization.
- Stay current on developments in large language models (LLMs), prompt engineering, fine-tuning, evaluation frameworks, and educational AI policy – being the team’s radar for what’s next.
- Ability to debug prompts with engineers at 10am and run teacher interviews at 2pm - translating between both worlds effortlessly.
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.
- Manage the feature request pipeline with ruthless prioritization, assessing feasibility, impact, and ethical implications while keeping stakeholders aligned on the “why”.
- Partner with engineering, ML/AI, and platform teams to develop, integrate, and test AI capabilities - including LLM-based assistants, adaptive learning flows, and content generation tools.
Other
- Ship-first mentality: You'd rather launch an imperfect v1 and iterate based on real usage than debate hypotheticals.
- Data-driven storyteller: You wield analytics like a scalpel: finding truth, then crafting narratives that get entire teams to pivot.
- Responsible disruptor: You push boundaries while keeping student safety sacred.
- Force multiplier: You make every team you touch more ambitious.
- Willingness to travel up to 20% to engage with school partners, educators, and internal teams as needed.
