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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Principal Product Manager, Foundational AI Research

United States, Mountain View Employment contract 139900.00 - 331200.00 USD / Year · Job Posted May 14, 2026
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Job Description

At Microsoft AI, we are on a mission to train the world's most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We're tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world and use it to solve real world problems. Our team is led by Mustafa Suleyman, CEO of Microsoft AI. Our research team includes some of the brightest minds in the field, responsible for developing many of today's most influential LLM models. Notably, MAI has launched MAI-1 models, including MAI-1-image debuting in top 10 in LMarena. As a Principal Product Manager, Foundational Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. You will be responsible for working backward from customer needs to prioritize new research, build evals and datasets, and work closely with AI researchers to build and execute project plans.

Job Responsibility

  • Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution
  • Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning
  • Create model prototypes to prove out new feature directions and scope projects
  • Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
  • Foster a culture of collaboration, continuous improvement, and growth
  • Advance the AI frontier responsibly

Requirements

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
  • 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety
  • Experience building and shipping data pipelines or evaluation systems personally.

Nice to have

  • A technical postgraduate degree is strongly preferred
  • a PhD is ideal but not mandatory
  • Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers.

What we offer

Certain roles may be eligible for benefits and other compensation.

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