Software Development Manager

Our AI on Z team is responsible for solutioning of enterprise customer's business problems by creating custom solutions, demoable assets, proof of concepts, etc. to showcase the AI capabilities of the platform and especially the onboard AI accelerator. Additionally, the team is also contributing in a big way towards the development of AI Toolkit that has the necessary packages as well as platform specific optiizations & enhancements that provide competitive differentiation. The team is now tasked with enabling a new AI accelerator on the platform by contributing to the development & validation of the new stack. We closely collaborate with the research labs and other development teams of IBM, as well as interface with the global maintainers of Open Source communities.As an Engineering Manager, you will primarily be responsible in leading/managing the AI on Z team focussed on enabling the development and client adoption of the AI stack on the Linux on IBM Z Server systems (s390x) architecture.In the capacity of management leader you will be working with peers and stakeholders to ensure IBM business continuity. You will be responsible for the development team with a joint and end-to-end ownership of the product development, managing delivery schedules and assure highest quality release with maximum exploiter/customer satisfaction.Essentially :Hire and managing highly talented engineers skilled in  Linux base OS and associated Hybrid Cloud and AI sub-systemsFocus on Employee engagement, Growth, Skill building, Innovation and well-being  towards  retaining highly talented engineersEnable collaboration with distro partners to upstream the modules to open source community.Take End to End responsibility of product delivery and release by applying Design Thinking & Agile practices in product design, development & testMotivate the team in applying processes and best practices in delivering great user experience and quality products for IBM's Server SystemsEnsure Business Compliance and Integrity is maintained across the teamCollaborate with peers and stakeholders to share/apply best practices at increasing efficiency in the process/product methodologies.