Principal Product Manager at Microsoft

Principal Product Manager Details

May 10, 2019, 5:11 p.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
Cyber Security team Data Science and
Are you passionate about securing cloud services and customer data? Do you like applying data science to security-related problems? Are you fascinated with emergence of IoT ? Would you like a career where Security meets Data Science and Industrial IoT space to make Microsoft Azure cloud more secure? Datacenter Cyber Security team is looking for a seasoned Principal Product Manager to lead new high-profile Security Monitoring Service. This role is on a new team with very lofty goals. We are looking for a strong Product Manager who can help us take an exciting new idea, refine it, and grow what we believe will be one of high impacting Security Service. It's a bold challenge with huge upside and great visibility. You will be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. This service is one of the top priorities for this year.

This role requires strong customer empathy and background in security and data science. We are looking for a professional with strong product, and program management experience. This person will have strong technical skills to understand IT infrastructure, unparalleled communication skills (can clearly describe his/her ideas and drill into tactics), and are able to interact with multiple cross-teams. This person will also be able to identify the needs of customers and translate those requirements into detailed technical and business requirements that can be executed across the organization. You're
Required Qualifications: 5+ years of experience in the industry B.S. in Computer Science Preferred Qualifications: Have an entrepreneurial spirit and be able to work independently and effectively in a results-oriented, efficient environment Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Prior experience with security, data-science and machine learning Experience in collecting, analyzing, and summarizing data from disparate sources in order to drive conclusions and recommendations Strong understanding of Azure and the cloud
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