Come build community, explore your passions, and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
Microsoft is dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI. This includes large language models (LLMs) designed to empower people to harness the world’s knowledge, revolutionize interactions with technology, and enhance user experiences.
To solidify our leadership in AI, Microsoft has launched a groundbreaking program to develop the next generation of leaders in this field. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI applied scientists, researchers, and engineers across the company. After completing the program, participants have the opportunity to join one of the sponsoring product teams and further accelerate their careers at Microsoft.
MAIDAP Product Managers have the opportunity to leverage and implement cutting-edge AI technology to meet product needs, advancing the state-of-the-art both internally and externally. They act as the bridge between research and development (R&D), blending techniques from both domains to drive data-driven, research-based innovation from theory into practice. This role involves close collaboration with software engineers, applied scientists in MAIDAP, and partnering product and technology teams across Microsoft.
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 OR equivalent experience.
• Relevent internship experience.
• Candidates must be available to start full-time in July 2026.

PREFERRED QUALIFICATIONS:

• Bachelor’s Degree AND 2+ year(s) of experience in product/service/project/program management or software development
• OR equivalent experience.
• 1+ year(s) experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• 1+ year(s) experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
• Experience in project/product/program management or customer design.
• Familiarity with data analysis, data visualization, machine learning and/or statistics, including LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning, or other modeling paradigms a bonus.
• Proficient written and oral communication skills that allow for effective data storytelling and teamwork.
• Familiarity with Python/R/Java or similar.
• Energized by creating AI solutions that can positively impact the work and lives of millions of people and the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.
  Product Management IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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 and processes offers for these roles on an ongoing basis.
  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

• Build consensus, influence others without authority, and collaborate with feature teams across Microsoft to translate business needs into AI solutions by developing a deep understanding of a feature, learning how customers use it, and using that knowledge to influence team features. Ship small features by understanding how the feature fits into the broader product or service area.
• Develop problem statements and hypotheses to address customer needs or market opportunities using collaborative market and user research, competitive analyses, and an understanding of industry trends and regulations. Perform A/B experiments to test hypotheses and make data-driven decisions on new features. Define solution options and partners to translate hypothesis results into solutions. Identify potential customers by collaborating with various teams across Microsoft.
• Partner with upper-level colleagues to clarify root problems and collaborate with teams (e.g., SWE, Design) to validate market size and opportunities with the goal of determining valuable features requirements.
• Communicate product strategy to customers.
• Create and manage end-to-end project plans for technical solutions. Provide hands-on product management during analysis, design, development, testing, and implementation to meet customer requirements. Provide day-to-day coordination in our Scrum teams. Ensure timely and high-quality delivery of projects by performing risk planning and management.
• Evangelize group work with stakeholders and share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
• Stay current with the latest machine learning research and technology and communicate your knowledge throughout the organization.