IoT Edge Tools UI Product Management IoT Edge Tools UI Product Management
This role will be part of the software solutions planning team inside the Intel Internet Things Group. She / He will enable the next generation of workflows and Interaction Flows for the IoT edge solutions developers and operators.
The IoT edge is a fast-growing market driving complex workloads like AI and real-time control. As the IoT edge tools product manager, you will be responsible defining requirements and workflows for managing and securing these applications at the IoT Edge.
You will work with a global community of experts from inside and outside Intel in defining the product and making it successful with the earlier adapter customers.
We are looking for an entrepreneurial product manager, with hands on UX / UI experience. He / she should be comfortable building a product from the ground up and rapid prototyping with early adapter customers.
Our team strives to deliver break through products with simplified user experience for developer community. You will play a critical role in enabling our strategy.
As the product manager :
Bring strong user centered design skills, creating solutions that simplify the complex workflows
Take a project end-to-end : working through UX challenges, partnering with DX research to iterate, delivering specs and assets
Explore design solutions for various user flows which support business and product needs
Experience creating UI Architecture, providing mockups and prototypes using variety of design tools
Experience managing product roadmap and working with an Agile engineering teams
3+ years (post education) related UX design experience in product, company or agency
Bachelor's degree in Design (or related field) or equivalent professional experience
Excellent communication skills
Self-starter who plans and executes end-to-end product design with minimal support
Portfolio that demonstrates individual and team efforts to design products end-to-end
Experience designing cloud-based software and services
Experience with data visualizations