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Technical Program Manager, Machine Learning Capacity Management

Company: Google Inc.
Location: Sunnyvale
Posted on: June 6, 2021

Job Description:

Minimum qualifications:

  • Bachelor's degree in computer science, technology, engineering related field or equivalent practical experience.
  • 7 years of experience in technical program management on cross-functional projects.
  • 7 years of experience in software program management or engineering management.

Preferred qualifications:

  • Experience managing highly-complex, technical cross-functional programs
  • Experience using agile methodologies and tooling (Planr, Jira, etc).
  • Demonstrated success in identifying and driving solutions that reduce toil, increase efficiency, and improve the customer experience.
  • Familiarity with ML infrastructure.
  • Excellent communication and presentation skills, demonstrated ability to work cross-functionally with multiple teams and stakeholders.

About the job

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.

Our vision is to deliver a common infrastructure as a service for machine learning that is easy to use, efficient, and robust. Google's Machine Learning (ML) Tensor Processing Unit (TPU) infrastructure is one of Google's fastest growing infrastructure investments. ML Fleet is the team in Technical Infrastructure that provides this ML infrastructure as a service to our customers, such that it can be effectively used for training and serving ML models. The Product Area Resource Management (PARM) team coordinates and enables the scalable, reliable, and efficient deployment and consumption of ML compute resources across Google.

You'll lead the ML PARM Capacity Management team and work directly with Google Capacity management systems to ensure we are equipped, enabled, and optimized to support our customers during a period of rapid scale. On a daily basis, you'll address capacity needs for Google internal customers, lead escalation to ensure no interruption of service, enable the team to defend service level objectives, and play a key role in customer satisfaction.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

  • Identify and capture resource efficiency opportunities.
  • Perform analytics to understand the larger system and deploy automation to improve system efficiency.
  • Surmount technical roadblocks and constraints that arise in the course of capacity delivery execution, unblocking partner work and ensuring continued progress.
  • Work closely with site reliability engineers on communicating status across ML Fleet and our customers.
  • Use a data-driven and analytical approach to measure the team operations, develop and drive team OKRs.

Keywords: Google Inc., Sunnyvale , Technical Program Manager, Machine Learning Capacity Management, Other , Sunnyvale, California

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