Posted:3 weeks ago| Platform:
Work from Office
Full Time
Role Overview As a Product Manager at Frinks.AI, you will play a key role in shaping and delivering core platform features by collaborating closely with engineering, data, and business teams. You will take ownership of the product life cycle from ideation to execution, helping to define product requirements and ensure technical feasibility for seamless implementation of AI-powered manufacturing solutions. Key Responsibility • Collaborate with cross-functional teams including engineering, design, and data science to develop and launch product features Translate complex business needs into clear technical requirements and user stories Manage and prioritize the product backlog, ensuring alignment with company goals Work closely with engineering teams to discuss architectural trade-offs, API designs, and technical constraints Monitor product metrics, perform root cause analysis, and recommend enhancements •Conduct market research, user interviews, and competitor analysis to inform product direction •Support integration of products with internal and external systems, tools, and platforms •Maintain detailed product documentation and knowledge bases Assist with product demos, onboarding, and internal trainings Ensure timely delivery of features by participating in agile ceremonies (sprint planning, retrospectives, etc.) Key Requirements • 4+ years of experience in product management, technical program management, or software engineering Strong understanding of backend systems, REST APIs, databases, and cloud infrastructure (AWS/GCP) Experience working on developer tools, SaaS platforms, or data-intensive product Familiarity with Agile development methodologies and tools (Jira, Confluence, etc.) Ability to write clear and concise product specifications and acceptance criteria Proficiency in reading and discussing technical documents, including API specs and system architecture diagrams Solid analytical skills and experience using tools like SQL, Excel, and dashboards to analyze product performance Excellent communication and stakeholder management skills Willingness to work closely with engineering teams and occasionally support on-site deployments
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