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Senior Technical Product Manager

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Required Skills & Qualifications: 8+ years of experience in Product Management, preferably in AI, EdTech, SaaS, or related industries. Strong experience in full-stack web & mobile app development collaboration (Node.js, React.js, Flutter). Expertise in Agile methodologies (Scrum, Kanban, SAFe, etc.) and project management tools (JIRA, Git). Experience in cloud technologies (Azure) and DevOps best practices. Strong analytical mindset with proficiency in data-driven decision-making tools Excellent communication, stakeholder management, and leadership skills. Bachelor's or Master’s degree in Computer Science, AI, Business, or a related field Key Responsibilities: Product Strategy & Execution: Develop a scalable product roadmap that integrates AI and personalized learning models to improve user engagement. LLM & EdTech Innovation: Leverage Large Language Models (LLMs) to enhance learning experiences with AI-driven tutoring and adaptive learning. Agile Leadership: Implement Scrum/Kanban best practices to drive product execution and development efficiency. Full-Stack & Mobile Development Collaboration: Work closely with engineers on Node.js, React.js (web), Flutter (mobile), and backend architecture to ensure seamless feature integration. Cloud & Infrastructure Management: Partner with DevOps teams to optimize cloud solutions on Azure, GCP, and AWS for scalability and performance. Data-Driven Personalization: Utilize AI-driven analytics to create personalized learning experiences for students. Project Management & DevOps: Oversee product workflows using JIRA, Git, and CI/CD pipelines to ensure smooth deployment and feature releases. User Research & Feedback Loop: Analyze customer feedback, conduct A/B testing, and use data-driven insights to optimize product performance. Go-To-Market Strategy: Lead product launches and collaborate with marketing teams to drive adoption and user growth. . Preferred Qualifications: Experience in AI-powered learning systems, LMS, or adaptive learning platforms. Exposure to DevOps, CI/CD pipelines, and cloud-based deployment strategies. Experience in fast-paced startup environments with a strong innovation mindset.

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