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Microsoft Principal Product Manager - AI Frameworks 
United States, Washington 
783010595

13.08.2024

IoT devices,to maximize performance and efficiency

Product Manager -AI Frameworksthe software stack thatthe latest frontier models on the latest AI accelerator silicon hardwarePrincipal Product Manager-AI FrameworksrequiresWe’re looking for someone who has a demonstrated history ofmanaging andsolving hard technical problems and isbuilding platforms thatperformance and cost. An entrepreneurial approach and ability to take initiative and move fast are essential.


Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 8+ years experience in product/service/project/program management or software development
    • OR equivalent experience
  • 4+ years of experience in deep learning, machine learning and/or AI

Other Requirements:

  • 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 Requirements:

  • The proven ability to work well in a matrixed environment and with ambiguity.
  • Ability to work well with and articulate ideas to people: customers, engineers, executives.
  • Familiarity with fundamentals of deep learning and AI
  • Familiarity with distributed systems at scale
  • Familiarity with GPUs and other AI accelerators
  • Hands-on use of development tools for AI models and their lifecycle
  • Knowledge of deep learning optimization and acceleration techniques

Microsoft will accept applications for the role until August 21, 2024.

Responsibilities
  • Establish a shared vision with cross-functional peers and executives
  • Drive product requirements definition, product planning and product design (including writingspecifications) of new features and enhancements
  • Drive product development with a team of world-class engineers and designers
  • Work cross-functionally to bring features live to the service
  • Anticipate,identify, and mitigate blockers to successgoals
  • Define and analyze metrics that inform the success ofefforts
  • Build and learn quickly in a constantly evolving environment
  • dentify new areas of opportunity for product investment
  • Share actionable insight, learnings, feedback to drive continuous improvements
  • Embody our and