Technical Product Manager (42637)

I am looking for a Technical Product Manager who will lead the delivery of AI-driven and education-focused (GenAI/LLM) initiatives. You will be responsible for end-to-end execution from requirements gathering through POC to MVP delivery. The role sits between business and engineering, ensuring alignment across stakeholders and technical teams. You should have experience in product or program management, strong understanding of GenAI, LLMs, AI agents, vector databases and data flows, and proven ability to manage multiple workstreams and deliver complex technical products.

🚀 Project
- delivery of AI-driven and education-focused (GenAI/LLM) use cases in a dynamic, business-oriented environment
- end-to-end ownership of multiple initiatives from requirements gathering through POC to MVP delivery
- coordination between business, engineering, data and design teams to ensure alignment
- work at the intersection of product, AI technology and delivery execution
- management of multiple parallel workstreams (3–4 use cases at once)
- translation of business needs into technical scope and delivery plan
- stakeholder alignment, communication and expectation management

🎯 Skills
- 5–10 years of experience in Product Management, Technical Program Management or Engineering Leadership
- strong understanding of GenAI / LLM solutions
- knowledge of multi-component architectures, AI agents, vector databases and data flows
- experience delivering products end-to-end (from requirements to MVP)
- experience coordinating cross-functional teams (engineering, data, design)
- strong experience in requirements gathering and documentation
- ability to translate business needs into technical scope
- excellent stakeholder management skills
- proactive communication and expectation management
- ability to manage multiple workstreams in parallel
- strong prioritization and blocker removal skills
- strong communication and presentation skills

💡 Nice to have
- experience working with AI/ML products in production
- experience in enterprise-scale environments
- familiarity with product discovery processes
- experience with UX/UI collaboration
- background in software engineering or data engineering