As a Staff Product Manager for Core Primitives, you will define the product strategy and roadmap, enhancing developer experience and operational efficiency for Temporal's core capabilities.
Senior Product Manager – AI & Game-Based Learning (Remote)
📜 Description
- Lead a small team of designers and developers with access to analytical and research resources.
- Design and scale features like Pandy AI Tutor for 24/7, judgment-free speaking practice.
- Own the roadmap for gamified worlds, focusing on LLM-based learning mini-games.
- Use AI to create adaptive learning paths that adjust game difficulty in real-time.
- Work with engineering to refine Speech-to-Text and AI prompting logic.
🛠️ Requirements
- NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries.
- As the Product Manager for AI & Game-Based Learning, you will own the "non-live" student experience.
- Your goal is to transform the Novakid Kid’s Area from a supplementary area into a significant driver of language acquisition for young kids.
- You will lead the development of self-guided English learning games and integrate cutting-edge AI-based self-practice tools that encourage children to speak more, practice safely, and stay motivated between their 1:1 teacher sessions.
Full job description
NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. As the Product Manager for AI & Game-Based Learning, you will own the "non-live" student experience.
Your goal is to transform the Novakid Kid’s Area from a supplementary area into a significant driver of language acquisition for young kids. You will lead the development of self-guided English learning games and integrate cutting-edge AI-based self-practice tools that encourage children to speak more, practice safely, and stay motivated between their 1:1 teacher sessions.
Focus: Kid’s Area, Self-Learning Games, and AI Features
What you’ll do
Lead a small team of designers and developers (with access to analytical and research resources).
Design and scale features like Pandy AI Tutor to provide 24/7, judgment-free speaking practice for students across various proficiencies.
Own the roadmap for current and future gamified worlds, focusing on LLM based learning mini-games that reinforce curriculum-aligned vocabulary and grammar.
Use AI to create adaptive learning paths that adjust game difficulty and content in real-time based on a child’s performance in both live classes and self-study.
Work with engineering to refine Speech-to-Text and AI prompting logic to maximize student speaking time—aiming for the high-engagement levels seen in AI-only learning models.
Design and manage the "Economy of Fun," including avatars, star rewards, and other gamification features that compete for a child's attention against mainstream apps.
Work closely with designers, engineers, curriculum developers, and teacher operations to turn user insights into high-quality educational content and engaging UX.
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