Principal Product Manager - Responsible AI

1 Month ago • 10 Years + • Artificial Intelligence • $161,600 PA - $314,400 PA

Job Summary

Job Description

This Principal Product Manager - Responsible AI role at Microsoft's Azure AI focuses on ensuring the responsible development and deployment of next-generation generative AI models. You will drive product innovation, design new technologies to mitigate AI risks, and enable developers to use AI safely. Responsibilities include developing a deep understanding of generative AI and responsible AI practices; creating scalable cloud services; partnering with engineers and scientists; and showcasing successful applications through blogs and demos. The role requires strong product management skills and experience with Generative AI, NLU/NLP/NLG, and language models.
Must have:
  • 10+ years experience in product/service/program management or software development
  • Deep understanding of Generative AI technology
  • Experience with NLU/NLP/NLG and language models
  • Ability to build scalable cloud services
  • Strong collaboration skills with engineers and scientists
Good to have:
  • Experience in Responsible AI or Digital Safety/Security
  • Experience with Generative AI

Job Details

Overview

In Azure AI, we are ensuring responsible development and deployment of the next generation of cutting-edge generative AI models like GPT-4. If you join our Responsible AI team, you will join an organization committed to partnering with stakeholders across policy, research, and engineering to help every product team in Microsoft ship these evolving technologies responsibly. 

 

We are looking for a Principal Product Manager- Responsible AI to join our team.

 

On the Responsible AI team, we work to ensure that each new product or technology we build is developed and used responsiblyIn this role, you will drive Responsible AI product innovation to design and develop new technologies to address the potential risks of emerging AI and enable developers to successfully and safely use it in real-world applications. 

 

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.

 

Qualifications

Required Qualifications: 

  • Bachelor’s Degree AND 10+ years experience in product/service/project/program management or software development

    o OR equivalent experience.

 

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.

 

Preferred Qualifications:

  • Experience in Responsible AI or Digital Safety or Security 
  • Experience with Generative AI. 
  • Experience with NLU/NLP/NLG and language models  

 

Product Management IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 per year.

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 August 31, 2024.

 

 

#AIPJobs

Responsibilities

As a Principal Product Manager for Responsible AI, you will build and drive state of the art products that enable customers to apply AI responsibly.

 

Your responsibilities will include: 

  • Develop a deep understanding of generative AI technology, customer use cases, and responsible AI practices. . 
  • Use creative product thinking to synthesize successful solutions into scalable cloud services. 
  • Partner closely with engineers and scientists to build models, APIs, services, and complex systems at scale. 
  • Be an evangelist for the technologyshowcasing successful applications with blogs and demos.  
  • Other

    • Embody our and 

 

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