Xiaoli Xiang
Product Manager @ Microsoft | Driving Microsoft 365 Backend Solutions
- Role
- Product Manager at Microsoft
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Xiaoli Xiang
With 9+ years of experience in software engineering and product management, I am passionate about creating and delivering impactful and user-centric solutions that address the needs and challenges of the modern workplace. As a product manager at Microsoft, I work with a cross-functional team of engineers, designers, researchers, and marketers to build and launch the M365 backend that serves products such as Microsoft 365 Copilot, Microsoft Teams, Outlook, and more.My core competencies include product strategy, market and customer research, technical communication, and agile development. I leverage my background in computer science and management to bridge the gap between business and technology, and to collaborate effectively with internal and external stakeholders. I am also constantly learning and exploring new domains and technologies, such as AI, cloud computing, and communication platforms, to enhance my skills and knowledge, and to stay ahead of the industry trends. My mission is to make great impact to the society through innovation and excellence.
Experience
Product Manager
Jan 2023 — Present · Redmond, WA, US
M365 backend that serves products such as Microsoft 365 Copilot, Microsoft Teams, Outlook, etc.
Education
Harvard University
Master of Arts - MA, Management in Extension Studies
Harvard Business School Online
Other; CORe Credential of Readiness
Purdue University
BS, Computer Science
2011 — 2015
Shenzhen Senior High School
Shenzhen Senior High School, Liberal Arts and Sciences/Liberal Studies
2008 — 2011
Skills
- Wireframing
- C#
- Html
- Computer Security
- Rapid Prototyping
- C++
- Leadership
- Matlab
- Sql
- Linux
- Asp.net
- Spring Mvc
- Algorithms
- Android
- Computer Science
- Html/Css
- Python
- Javascript
- Eclipse
- React.js
- Photoshop
- Java
- C
- Programming
- Photography
- Cryptography
- Machine Learning
- Software Engineering
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