Do you want to define and drive the vision, strategy and investments for the ML platform that is used to power the AI that runs Microsoft and millions of our customers? The AI Platform team at Microsoft is looking for a Principal Product Manager for the Azure Machine Learning service, Microsoft's solution for machine learning and AI professionals working together to build and deploy custom ML models and manage them in production.

　　Our team builds the machine learning product and platform that powers the most demanding workloads at Microsoft like Office, Bing, and Cognitive Services as well as accelerating the digital transformation of customers on Azure using state of the art deep learning scenarios like computer vision and natural language processing as well as traditional machine learning scenarios like forecasting and classification at scale.

　　We are looking for a Principal Product Manager who can conceptualize, spec and launch the LLM Model Provider offering in Azure AI. You will need a sound understanding the Generative AI tools and LLMs, both from the lens of a data scientist training or finetuning models and from the lens of a developer who uses LLM application programming interfaces (APIs) to build Generative AI apps. We are looking for someone who understands what it takes to host and run LLMs, including the inference containers and finetuning, so that you can work with model providers to define the publishing experience. You will learn to be well versed with latest Generative AI tools like LangChain and concepts such as Retrieval Augmented Generation (RAG) so that you can define a compelling experience for using models. Understanding monetization through marketplace is a bonus. Not only are publishing and consumption experiences essential, but the ability to allow partners to monetize models is equally important. You will draw upon your experience of handing ambiguous situations and conflicting requirements and make well-reasoned tradeoffs to drive clarity across different stakeholders. Relentless persuasion and influencing with leadership will be essential to your success.

　　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.

　　In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

　　Responsibilities

　　Take your deep technical and product expertise and combine it with your understanding of our customers' needs to solve their complex business challenges by advancing the capabilities of Azure AI.

　　Join a high-performing team to deliver and improve world-class product experiences to define and deliver a platform that enables ML Professionals to perform custom training of ML/LLM models at scale.

　　Champion and advocate for our customers in evolving their experience with Azure AI and ability to use the product to solve business challenges.

　　As a member of the product engineering team, you will use your skills to improve our services, based on customer feedback and insights gained while supporting them.

　　Create an inclusive work environment where every employee can effectively engage and wants to be part of the team.

　　Other: Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

　　Qualifications

　　Required/Minimum Qualifications:

　　Bachelor’s Degree AND 8+ years experience in product/service/project/program management or software development

　　OR equivalent experience

　　5+ years of experience designing and shipping complex products for developers, ML professionals, or similar

　　3+ years of experience with distributed platform ecosystem (multi-tenant / real-time processing, batch computing etc.)

　　Preferred Qualifications:

　　Experience creating solutions using Azure, AWS, or Google Cloud

　　Experience writing Python, particularly for machine learning

　　Experience with ML platforms

　　Effective at driving complex multi-stakeholder processes and cross-team programs 

　　Ability to build effective relationships, influence and collaborate at all organizational levels 

　　Effective verbal and written communications skills for a global audience 

　　Strong business acumen, analytical and detail oriented 

　　Bachelor’s degree or higher

　　Product Management IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.

　　Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

　　Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .