Senior Technical Program Manager, ML & Data (Pixel)

Google Inc.

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

7 days ago
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Job summary

Google Mountain View, CA is seeking a Technical Program Manager III to lead cross-functional ML and data initiatives for the Pixel team. You will plan requirements, manage schedules, identify risks, and communicate with executives and engineers.

The role emphasizes data governance, ML model deployment, and collaboration across platforms. You will mentor teammates and help ship consumer devices with cutting edge AI features.

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with AI/ML model development and deployment.
  • Experience establishing and implementing data governance frameworks, policies, and standards.

Responsibilities

  • Seek out all necessary schedule inputs and develop a solid, defensible plan for software development release and keep the team tracking to it.
  • Manage communication of progress/status within the core team and externally (customers, partners, etc.), and escalates issues as necessary.
  • Define the scope of projects and develop, execute, or manage project plans for supported programs related to data governance, ethics, policy, security, and privacy sensitivities.
  • Focus on the user experience and advocate for the Android/Pixel quality bar internally, as well as with OEM internal and external partners to ensure we maintain a great product.
  • Translate complex technical requirements into repeatable operations protocols.

Skills

Program management
AI/ML deployment
Data governance

Education

Bachelor's degree in a technical field

Job description

Google Mountain View, CA is seeking a Technical Program Manager III to lead cross-functional ML and data initiatives for the Pixel team. You will plan requirements, manage schedules, identify risks, and communicate with executives and engineers.

The role emphasizes data governance, ML model deployment, and collaboration across platforms. You will mentor teammates and help ship consumer devices with cutting edge AI features.

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