Technical Program Manager, Applied AI Google Cl...
@ Google

Waterloo, ON
$150,000
On Site
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @google.com
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Job Details

Overview

As a Technical Program Manager at Google, you will lead complex, multi-disciplinary projects from start to finish. You will plan requirements, manage schedules, identify risks, and communicate effectively with cross-functional teams including engineers, product managers, and executives.

Minimum & Preferred Qualifications

Minimum qualifications: Bachelor's degree in a technical field or equivalent experience; 10 years of program management; and 10 years in product development, operations, or technical consulting roles with experience in cloud computing and emerging technologies.

Preferred qualifications: 10 years in software program management for cloud computing, managing cross-functional teams and programs, executing product launches, and experience with distributed systems and AI/ML.

About the Job

In this role, you will drive mission-critical horizontal programs across multiple products. You will collaborate with software developers, product managers, and cross-functional stakeholders to deliver products that leverage Google Cloud's cutting-edge technology to transform businesses globally.

Responsibilities

  • Drive and manage multi-quarter roadmaps across complex programs.
  • Collaborate with cross-functional teams to align product direction and technical strategy.
  • Define and operationalize key metrics to prioritize efforts.
  • Communicate risks, project schedules, and progress to executive stakeholders.
  • Support product launches and go-to-market processes.

Key Skills/Competency

  • Technical program management
  • Cloud computing
  • AI/ML
  • Distributed systems
  • Cross-functional collaboration
  • Executive communication
  • Project scheduling
  • Risk management
  • Roadmap planning
  • Product launch
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Highlight cloud and AI project experiences.
  • Leverage networking: Connect with Google employees on LinkedIn.
  • Research Google: Understand their cloud platform and innovation drive.
  • Practice interviews: Prepare technical and leadership examples.

📝 Interview Preparation Advice

Technical Preparation

Revise cloud computing fundamentals.
Study AI/ML and distributed systems.
Practice risk and roadmap planning.
Review technical project case studies.

Behavioral Questions

Discuss effective cross-team communication examples.
Demonstrate leadership in challenging projects.
Explain conflict resolution in teams.
Share experiences with executive presentations.

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