About the Role
As a Product Manager – AI & EdTech Platform, you will be responsible for building our EdTech product from the ground up.
This is a 0-to-1 product ownership role. You will work closely with leadership, engineering, design, content, and business teams to define the product vision, strategy, roadmap, and execution.
The ideal candidate will have:
- Proven experience building and launching digital products from scratch
- Strong experience in AI/GenAI product development
- A solid understanding of EdTech and digital learning platforms
- The ability to take end-to-end ownership of a product
- Strong business, technical, analytical, and problem-solving skills
EdTech industry experience is strongly preferred and will be considered a significant advantage.
Key Responsibilities
1. Product Strategy & Vision
- Define and own the product vision, strategy, and roadmap for the EdTech platform.
- Translate business objectives and customer needs into clear product strategies and priorities.
- Conduct market, competitor, and user research to identify product opportunities and differentiation.
- Define the product's value proposition, positioning, and long-term growth strategy.
- Establish product goals, KPIs, and success metrics in collaboration with leadership.
2. 0-to-1 Product Development
- Own the complete product lifecycle from ideation, discovery, and validation to development, launch, and continuous improvement.
- Define product requirements, user stories, workflows, and acceptance criteria.
- Work closely with UI/UX designers to create intuitive and engaging user experiences.
- Collaborate with engineering teams throughout the development lifecycle to ensure successful product delivery.
- Prioritize features based on business impact, customer value, technical feasibility, and strategic priorities.
- Manage and maintain the product backlog.
- Coordinate product releases and support successful go-to-market execution.
3. AI & GenAI Product Development
- Identify opportunities to integrate AI and Generative AI into the EdTech platform.
- Work with engineering and AI teams to define and develop AI-powered product features.
- Understand the capabilities and limitations of LLMs, RAG, AI agents, prompt engineering, and AI-driven automation.
- Translate AI capabilities into practical product features that solve real customer and learner problems.
- Define requirements for AI-powered:
- Personalization
- Content generation
- Recommendations
- Assessments
- Learning assistance
- Automation
- Monitor AI product performance and continuously improve the user experience using data and feedback.
4. EdTech Product Development
- Develop features that improve learning engagement, course discovery, content consumption, assessments, and learner outcomes.
- Understand different learner journeys and identify opportunities to personalize the learning experience.
- Work closely with content and subject-matter teams to ensure the platform effectively supports educational and professional learning content.
- Use learner behavior and product analytics to improve engagement, retention, and course completion.
- Stay updated on emerging EdTech, AI-powered learning, and digital education trends.
5. User & Market Research
- Conduct user interviews, surveys, feedback sessions, and usability studies.
- Identify customer and learner pain points and translate them into product opportunities.
- Analyze user behavior, product analytics, and market trends to identify areas for improvement.
- Validate product assumptions and concepts before significant development investment.
- Continuously gather and incorporate customer feedback into the product roadmap.
6. Cross-Functional Collaboration
- Act as the bridge between business, technology, design, content, and other stakeholders.
- Work closely with Engineering, Design, Marketing, Sales, Customer Success, and Content teams.
- Clearly communicate product priorities, roadmap, requirements, and progress.
- Drive alignment across teams and ensure timely execution of product initiatives.
- Present product strategy, progress, and insights to leadership.
7. Product Analytics & Optimization
- Define and monitor key product metrics and KPIs.
- Use data to make informed product and prioritization decisions.
- Track metrics such as:
- Product adoption
- User engagement
- Retention
- Conversion
- Course completion
- Learner satisfaction
- Conduct A/B testing and product experimentation where appropriate.
- Continuously optimize the platform based on data, user behavior, and feedback.
Required Qualifications
- 5+ years of experience in Product Management, preferably with digital, SaaS, or technology products.
- Proven experience building and launching products from 0-to-1.
- Demonstrated ownership of the complete product lifecycle from ideation through launch and post-launch optimization.
- Strong understanding of AI/GenAI and AI-powered product development.
- Experience working closely with engineering and UI/UX teams.
- Strong understanding of:
- Product discovery
- User research
- Product strategy
- Roadmapping
- Feature prioritization
- Product analytics
- Agile/Scrum methodologies
- Strong communication and stakeholder management skills.
- Excellent analytical and problem-solving abilities.
- Ability to work independently and take end-to-end ownership of product initiatives.
Preferred Qualifications
- EdTech industry experience is strongly preferred.
- Experience building:
- Learning Management Systems (LMS)
- Professional education platforms
- Online learning platforms
- Digital learning products
- SaaS-based education products
- Experience developing AI-powered learning or education products.
- Experience with LLM-based products, RAG, AI agents, personalization, recommendation engines, or AI automation.
- Experience working with B2B, B2C, or professional education products.
- Experience working with international users or US-based customers is a plus.
Key Skills
Product Management
Product Strategy | Product Vision | Product Roadmapping | 0-to-1 Product Development | Product Discovery | User Research | Product Lifecycle Management | Feature Prioritization | Agile/Scrum
AI & Technology
Generative AI | LLMs | AI Agents | RAG | Prompt Engineering | AI Automation | API Integrations | SaaS Products
EdTech
LMS | Digital Learning | Online Education | Learning Experience | Assessments | Learner Engagement | Personalization | Learning Analytics
Analytics
Product Analytics | KPIs | User Behavior Analysis | A/B Testing | Conversion | Retention | Engagement Metrics
Tools & Platforms
Jira | Confluence | Figma | Product Analytics Tools | SQL/Data Tools | AI/LLM Platforms