Google-posted 2 months ago
$156,000 - $229,000/Yr
Full-time • Mid Level
Seattle, WA
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A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As the Technical Program Manager, you will manage planning, execution, and delivery of projects related to ML workload monitoring and diagnostic tooling for AI HyperCompute Clusters. This tooling is essential to provide insights into performance degradation within ML workloads, enabling efficient identification and resolution of performance issues. You will also collaborate with cross-functional teams, including engineers, data scientists, and product managers to ensure successful project outcomes and drive the development of scalable solutions for ML performance monitoring and diagnostics.

  • Lead complex, multi-disciplinary projects from start to finish.
  • Work with stakeholders to plan requirements and identify risks.
  • Manage project schedules and communicate with cross-functional partners.
  • Explain analyses and recommendations to executives and discuss technical tradeoffs with engineers.
  • Manage planning, execution, and delivery of projects related to ML workload monitoring and diagnostic tooling.
  • Collaborate with engineers, data scientists, and product managers to ensure successful project outcomes.
  • Technical expertise in program management and project delivery.
  • Experience in managing complex projects in a technical environment.
  • Strong communication skills to interact with cross-functional teams and executives.
  • Ability to identify risks and manage project schedules effectively.
  • Experience with ML workload monitoring and diagnostic tooling.
  • Familiarity with AI HyperCompute Clusters.
  • Base salary range of $156,000-$229,000
  • Bonus
  • Equity
  • Comprehensive benefits package
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