Experience: Senior Role: 4 to 6 yearsCoding to a PM role is preferredLocation: PuneAbout Role:At the CEO's Office of Scalefusion, we are looking for a Technical Product Manager, who has a keen eye for simple design, and a less is more approach towards product development. You would be responsible along with the core team for reimagining the MDM/UEM industry using the reasonably latest technologies like ML & AI.You would be continuously engaging with the core team (Product Owner, Engineering head, Sales & Marketing teams) and external prospects and customers to identify the potential product needs, translate these needs to how they can be solutionized, prioritize them, and actively do RnD on the feasibility of them.Job Description:- Read & Understand the latest happenings on the MDM/UEM ecosystem and identify opportunities for new features & offerings. - Ability to RnD on the new feature offerings by using APIs, scripts, or the available documentation.- Responsible for delivering crystal clear requirement documents and queuing them up for development. - Working with the Engineering & QA team to help them with clarity on the requirements and providing alternate designs/requirements.- Work with the Product Owner, Enterprise customers & Sales/Success teams to identify gaps in the product or identify whitespaces that can be incorporated into the product- Help with Product demos to internal teams and/or customers. Work with the Marketing team to explain the rationale and potential messaging of a feature and identify a go-to-market You have worked on one or more SAAS products in the capacity of a technical product manager and believe in a rapid and iterative development process.- Use the available data to create a product feature roadmap and use tools like Balsamiq, Confluence, Postman, etc to define the requirements.- You have a good ability to understand technical documentation and then translate it into requirements for the team.- A good listener and observer who is open to inputs from the internal teams and external stakeholders and can identify valid inputs from the noise all around. (ref:hirist.tech)