Principal Product Manager - AI Core Infrastructure

In Cloud + AI at Microsoft, we are developing technologies that will revolutionize how people interact with each other and their environments. Artificial Intelligence (AI) such as Azure OpenAI is at the heart of Digital Transformation, sweeping through every business and every industry on the planet. At Microsoft AI, our mission is “Amplifying human ingenuity with intelligent technology” and we are doing so by building the most innovative AI Platform services to help businesses digitally transform, by integrating cognitive services to their high value use cases to achieve more through the power of AI. 

The Azure AI Platform Core product team within the AI Platform is building the largest and most efficient AI supercomputer in the world. We enable enterprise customers and internal teams at Microsoft to innovate using the power of AI to accelerate business impact at scale. We do so by building cloud native, efficient scalable services to power the platform that enables training, fine tuning and deploying LLMs and SLMs at an unparalleled scale.  

We are looking a Principal Product Manager - AI Core Infrastructure to join our group and help us lead the next generation of AI Platform features and solutions which enable efficient and scalable AI cloud computing.  As a Principal Product Manager -  AI Core Infrastructure, you will be both customer facing and responsible for defining and delivering cloud-native, Kubernetes-based efficiencies to reduce COGS (Cost-of-Goods Sold) and improve performance, scale and utilization of cloud computing resources for AI at scale. You will own and run cross-functional programs and lead customer and internal stakeholder relationships across feature and product teams. You are front-and-center with the world’s leading brands representing the AI platform core engineering team in support of their digital journey, empowering them to accelerate their value and achieve more.

Grow your career by being part of a world class engineering team!

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.

Required Qualifications: 

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

  o OR equivalent experience.

• 5+ years in cloud native platform technology like Kubernetes 

• 2+ years of practical experience in AI platform techniques & tools 

Other Requirements:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications: 

• Azure cloud platform experience preferred 

• Prior hands-on experience with Large Language Models (LLM) such as OpenAI and others, Azure AI, Azure ML or their equivalent is highly preferred  

• customer focus and a deep commitment to delivering products that create customer value and delightful experiences  

• Enterprise customer and partner engagement skills including ability to create a delivery plan, track progress, and resolve issues, risks, and blockers as they arise  

• Effective communication skills with a broad range of audiences and ability to influence without authority  

• A high tolerance for ambiguity and change  

• Outstanding problem solving and conflict-resolution skills across a set of technical, product, and business challenges  

• Experience with enterprise solutions and a deep technical understanding of software and hardware  

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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 will accept applications for the role until October 21, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#SWE24

 The role involves collaborating closely with key customers, partners, and feature teams to solve complex platform problems at scale. Responsibilities will include:  

• Define and deliver product features and enhancements that reduce COGS and improve performance, scale and utilization of Azure AI Platform and associated products including  Azure OpenAI 

• Engage with key customers and partners to understand their needs and challenges and provide feedback and guidance on best practices and solutions 

• Collaborate with feature and product teams across AI Platform and Azure to align on vision, roadmap, priorities and dependencies 

• Drive technical excellence and quality standards for product development and delivery 

• Communicate effectively with internal and external stakeholders, including senior leadership, engineering, research, marketing, sales and support 

• Monitor and measure the impact and value of product features and enhancements and drive continuous improvement 
• Embody our Culture and Values