🇺🇸 Product Manager, AI Full time

As an AI Product Manager, you will work at the nexus of product and research. Your products are the language models that power Microsoft 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.

- Identifying and prioritizing language model issues, and working with researchers to find a path to resolution.
- Creating 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 researchers and engineers to define and manage engineering and research projects.
- Deploying and tracking AB model experiments in production.
- Embody our Culture and Values.

- Bachelor’s Degree AND 5+ years experience in product/service/project/program management or software development or equivalent experience.
- 5+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them.

Preferred Qualifications:
- Bachelor's Degree AND 10+ years experience in product/service/project/program management or software development or equivalent experience.
- 5+ years of experience shipping consumer-facing products. You’ve brought products to market, collected user feedback, defined success metrics and iteratively improved products.
- Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you’re able to build zero-to-one prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with.
- Experience using and applying Large Language Models. LLMs will be your clay – you should know how to prompt engineer them, how to evaluate them, and understand they are tuned.

TBD