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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, forming the foundation of many initiatives across Microsoft AI. 
As a Product Manager, AI Multimodal, you will work at the nexus of product and research. Your products are the language and multimodal 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. In particular, we are looking for candidates who:
Deeply understand the pipeline of collecting data, training and then serving language models and multimodal modelsHave experience in working side-by-side with researchers and engineersThrive in a fast-paced, innovative environmentAre passionate about managing high stakes time-sensitive large-scale programsTake the initiative and enjoys finding paths through complexity in a fast-paced environmentAre comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progressDemonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
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. 

ResponsibilitiesIdentifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution.Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.Creating model prototypes to prove out new feature directions and scope projects.Engineering prompts to teach 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 productionFoster a culture of collaboration, continuous improvement, and growth.Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.   Required/Minimum Qualifications Bachelor’s Degree AND 8  year's experience in product/service/project/program management or software development  OR equivalent experience. Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production.Experience working side-by-side with Researchers and/or Engineers 
Preferred Qualifications:
Experience managing cross-functional and/or cross-team projects.#copilot #MicrosoftAI
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 for the role until 08/24/2025. 
Microsoft is an equal opportunity employer. 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.

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