Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Microsoft AI Safety Program Manager 
United States, Washington 
112548267

13.08.2024

Required Qualifications -

  • 5+ years experience in any of the safety disciplines in computer science (abuse, security, privacy, etc.)
  • 3+ years experience managing cross-functional and/or cross-team projects.
  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
    • 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications -

  • Experience in more than one of the safety disciplines in computer science (abuse, security, privacy, etc)
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
  • 8+ years of experience managing cross-functional and/or cross-team projects.
  • Bachelor's Degree AND 10+ years experience in engineering, product/technical program management, data analysis, or product 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 August 27, 2024.

Responsibilities
  • Establish a strategy for improving our approach to AI Safety by working with stakeholders to synthesize issues and identify opportunities to improve our processes, tooling and training through a virtuous feedback loop.
  • Designing methodologies for teams to build safely and effectively, with a clear eye towards those being directly useful and applicable by real teams
  • Build collaborative relationships with other stakeholder teams working on Responsible AI to scale out AI Safety methodologies
  • Other

    • Embody our