Product Manager II - MAI Core Search and AI Team
 Microsoft | |
 United States, Washington, Redmond | |
 Feb 08, 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 Yahoo, DuckDuckGo, ChatGPT etc. We are looking for an experienced Product Manager to understand unmet customer needs and cross reference them with the latest AI trends to improve 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 passionate about 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!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.Defining goals to measure success.Developing a strategy and differentiated value proposition for the area.Work with marketing and PR teams to evangelize our work.Drive project and product development agility and capacity efficiency.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 experimentation. | |