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About the role
As a Product Manager, you'll bridge product thinking and AI innovation. You'll work closely with our product, tech, and design teams to plan, document, and track product development using AI-driven tools. You'll help translate business goals into actionable product specs, manage engineering teams, and experiment with tools that automate planning, research, and execution. This role focuses on AI-assisted product execution, not building ML models. Required Tech Stack Zoho Sprints, JIRA, LLMs (ChatGPT/Claude/Gemini), AI Agent Frameworks (AgentOS), AI-Assisted Product Documentation Research Tools Key Skills Curiosity and strong interest in AI tools and product management Understanding of basic product concepts: PRDs, feature specs, and roadmap planning Familiarity with software development lifecycle (SDLC / SDD) and sprint-based workflows Good communication and documentation skills Analytical mindset ability to connect data, user needs, and business goals Enthusiasm to explore tools like AgentOS, Gemini, or similar AI assistants for product planning Familiarity with Zoho Sprints/JIRA or similar project management tools Support release planning, readiness tracking, and post-release documentation Good to Have Skills Prior experience in project coordination, research, or product documentation Awareness of AI/ML fundamentals or interest in prompt-based automation Basic understanding of metrics, data interpretation, or UX workflows Key Responsibilities Assist in product discovery and documentation defining user problems and requirements Draft PRDs and help structure product roadmaps with AI-assisted tools Coordinate with tech and design teams for sprint planning and execution tracking Use AI tools to automate parts of research, competitive analysis, or backlog planning Work with interns to manage task flows and weekly deliverables Contribute to internal knowledge building around AI-based PM workflows What Youll Gain Hands-on exposure to product management in AI-driven development Learn how AI tools like AgentOS can accelerate planning and execution Mentorship from product and technology leads Experience coordinating real product teams and managing deliverables Opportunity to grow into an Associate Product Manager or AI Strategy role post-internship Commitment A service bond of 6 months is applicable in accordance with company policy. Eligibility Pursuing or recently completed a degree in Engineering, Computer Science, Management, or related fields. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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