Principal Product Manager
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 07, 2025 | |
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OverviewThe Core Search and AI team is the leading applied machine learning team at Microsoft AI responsible for delivering the highest-quality search experience to over 500M+ monthly active users around the world in Microsoft's search engine, Bing and other dependent search and AI engines such as ChatGPT, Yahoo, DuckDuckGo etc. We are looking for a Principal Product Manager to understand unmet customer needs and cross-reference them with the latest AI trends to improve the relevance for the next generation of search using advanced AI technologies at scale. As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and product managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work together closely.If you are interested in working on the latest and innovative areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science and high scale systems, this is the team you're looking for! Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesUnderstanding current user needs and gaps by doing opportunity analysis in the problem domain.Bringing empathy to design unique solutions to customer scenarios.Formulating release criteria for a Minimal Viable Product (MVP) and driving a team of engineers and scientists to build, measure, learn and iterate towards a successful solution.Analyzing large scale data from crowd-sourced feedback and A/B experimentationDefining goals and metrics to measure success.Developing a strategy and differentiated value proposition for the area.Workwith marketing and PR teams to evangelize our work.Continuously reading the latest AI and deep learning papers from the hottest conferences (NeurIPS, ICLR, ICML ACL, EMNLP) and using ideas from them to inspire and direct the team.Prototyping with deep learning and AI toolkits like TensorFlow, PyTorch etc. | |