... Join our team and make the world better for developers worldwide! Are you an engineer that LOVES sharing your passion for the next wave of Artificial Intelligence (AI) with everyone around you? Yes, there's the perfect role here at Microsoft for you! We are the Academic Ecosystems team which sits in the Microsoft Cloud + AI organization. Our global team helps enable developers to do what they love; write, code, and learn. Specifically, our teams in focused on inspiring tomorrow's influential computer science faculty, students, and lifetime learners looking to upskill with Azure and the open source that runs on it. We are at the core of transformation across Microsoft – a visible opportunity for you to engage with communities that are learning and building AI experiences with vision, speech, language, knowledge, search, and emerging scenarios. We're looking for a highly motivated, engineering talent with program management and great communication skills to lead our advocacy initiatives
As a Senior Program Manager in Academic Ecosystems, the core of this role is influencing communities and empowering others within Microsoft to do the same. You'll need to prioritize what you create yourself and what you lead others to create via your fellow engineers and vendors alike. Your day-to-day might include: Interact with faculty and students at universities to understand their needs, preferences, and perspectives on data science and how Microsoft products are used in the data science community. Build a strategy and solutions for how we reach the next generation of student developers with
Advocacy is all about working across teams and leading others through impact and influence to drive our Microsoft's product adoption goals worldwide. The ideal candidate is a highly-motivated, self-starter with a strong technical acumen who thrives amidst ambiguity, has a can-do attitude, is comfortable speaking to faculty, students and other public audiences, and has a minimum of 6 years in engineering program management or as a software engineer in AI. Successful candidates will be able to demonstrate: Passion for technology with some subject matter expertise in Azure, competitive platforms,