The Principal Product Manager for Foundational Research at Microsoft AI will advance the next generation of large language models (LLMs) by focusing on pre-training and post-training data, training infrastructure, or API and platform development. This role involves working closely with AI researchers to prioritize research based on customer needs and to build evaluation datasets. The team is led by Mustafa Suleyman and includes experts responsible for influential LLM models. The position requires a proactive approach to managing complex, high-stakes projects in a fast-paced environment.

• 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.
• 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.

• Identify and prioritize language, coding, and 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.