Microsoft Senior Product Manager 

Taiwan, Taoyuan City 

865033297

As an AI, you will work at the nexus of product and research. Your products are the language models that power M365 Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot's messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, working closely with AI researchers to build and execute project plans. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. We are looking for candidates with interest and experience in language model training, reinforcement learning, and supervised fine-tuning.

Required/Minimum Qualifications

• Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
  • OR equivalent experience.
• 4+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them.
• 1+ years experience in building ML-powered products.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

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

Additional or Preferred Qualifications

• Bachelor's Degree AND 7+ years of experience in product/service/project/program managementOR software development
  • OR equivalent experience.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until April 23, 2025.

• Identifying and prioritizing language model issues working with customers, and working with researchers to find a path to resolution.
• Leveraging customer interactions to create novel data collection tasks for taskers to evaluate language models and to collect training data for fine-tuning.
• Creating language model prototypes to prove out new feature directions and scope projects. Engineering prompts to teach language models how to behave across a wide range of scenarios.
• Working closely with customers, researchers and engineers to define and manage engineering and research projects.
• Deploying and tracking AB model experiments in production.