Job description 

Qualifications

Required/Minimum Qualifications: 

•  Bachelor’s Degree and 7+ years experience in product/service/project/program management or software development/applied science OR equivalent experience 
• 2+ years experience managing technical cross-functional and/or cross-team projects  
• 1+ years of experience in Machine Learning and/or AI  
   

Preferred/Additional Qualifications 

• Experience in Responsible AI, Digital Safety, or Security  
• Experience with Generative AI
• Technical background in Natural Language Processing and/or Computer Vision  
• Bachelor’s degree or higher in Machine Learning, NLP, Computer Vision, Computational Linguistics  

#IDCAIPlatformHiring

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. 

Responsibilities

As a Senior Product Manager for Responsible AI Applied Science, your primary focus will be to lead the development and implementation of advanced multi-modal measurement and mitigation solutions for emerging Responsible AI (RAI) risks and new contentmoderation policies. You will collaborate with applied scientists, multiple stakeholders, and cross-functional teams to build AI systems that effectively identify, measure and mitigate new RAI risks. Your key responsibilities will include: 

• Identify and Measure RAI risks: Lead the effort in defining emerging Responsible AI (RAI) risks and collaborate with stakeholders to develop AI systems that effectively identify and measure new risks crossvarious modalities and harm categories
• Develop Mitigation Solutions: Work closely with applied scientists to create and implement advanced multi-modal mitigation solutions for identified RAI risks and new content moderation policies, including AI models and prompt engineering
• Technical Roadmap: Manage the technical roadmap, from ideation with researchers to seamless deployment in the large-scale RAI Safety System, ensuring the integration of new features with new Generative AI powered products  
• Cross-Functional Collaboration: Partner with various stakeholders, including Microsoft Research, policy, legal, engineering teams, and other product teams to proactively ensure the adoption of the RAI measure and mitigation systems  
• Continuous Improvement: Monitor the effectiveness of mitigation solutions and RAI harm measurement systems with a data driven approach, gather insights, and iterate on the development process to continuously enhance the performance and efficacy of the solutions
• Other: Embody our Culture and Values