Principal Product Manager - CoreAI at Microsoft
Redmond, Washington, United States -
Full Time


Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product Management, AI Applications, Conversational UX, Data Analysis, Cross-Functional Collaboration, Technical Depth, Generative AI, Large Language Models, Cloud Services Architecture, SaaS Solutions, Business Development, Go To Market, Analytical Thinking, Problem Solving, User Experience, Product Development

Industry

Software Development

Description
Drive building world-class AI application stacks that will delight enterprises and developers, delivering proven business results. Own a product area and be responsible for understanding developer needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. Find a path to get things done despite roadblocks to get your work into the hands of customers quickly and iteratively. Enjoy working in a quick, customer-first, product development cycle. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX, Data Science, Engineering, AI research, and Product Marketing teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. Embody our culture and values Bachelor's Degree AND 8+ years experience in product management OR equivalent experience. 3+ years experience leading product teams building products. 2+ years experience building/designing AI applications stacks and agents, including use of conversational UX, agent frameworks, and platforms like GPT and Copilot. 2+ years of technical depth with solutions leveraging generative AI, Large Language Models (LLMs), or cloud services architecture through shipped products or solutions. These requirements include, but are not limited to the following specialized security screenings: Track record of success in planning and delivering commercial software as a service (SaaS) or enterprise technology solutions from pitch and envisioning to pilot and adoption. Experience presenting and explaining product and technology topics in-depth to executive and technical audiences. Business development and/or Go To Market-facing experience. Embrace diversity of thoughts and backgrounds and lead others to do the same. Aptitude for analytical thinking, disciplined problem solving, and data analysis skills used to identify the root cause of issues.
Responsibilities
Drive the development of AI application stacks that meet the needs of enterprises and developers. Collaborate with various teams to translate business goals into product strategy and oversee the product development lifecycle.
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