Google

Program Manager III, Machine Learning Deployment, Cloud Supply Chain

Google$159K — $231K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in program or project management.
  • Experience in supply chain planning or capacity planning.
  • Experience in SQL.
  • Preferred: 5 years managing cross-functional projects in a supply chain planning organization handling over $1B in spend.

Responsibilities

  • Own on-time delivery performance of Machine Learning capacity.
  • Design and implement improvements for efficiency and reliability.
  • Communicate executive-level updates on global delivery and demand status.
  • Collaborate across various organizational levels and teams.
  • Oversee execution and delivery of strategies, troubleshooting issues and identifying risks.

Benefits

  • Comprehensive benefits package, including health insurance and retirement plans.
  • Opportunity for professional development and career growth.
  • Access to Google’s vast resources and global network.
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in program or project management.
  • Experience in supply chain planning or capacity planning.
  • Experience in SQL.

Preferred qualifications:
  • 5 years of experience managing cross-functional or cross-team projects.
  • 5 years of experience in a supply chain planning organization handling over $1B in spend/year.
  • Familiarity with supply chains leveraging contract manufactures across the globe.
  • Ability to communicate with executives on large data sets and defend allocation decisions.
  • Ability to collect and analyze data.


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 Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.

The Machine Operations and Deployment Engineering (MODE) - ML-TPU Deployment team is accountable for the orchestration and enablement of machine learning builds from demand creation, constraints enforcement, and infrastructure mapping through to deployment execution through our contract manufacturers and data centers. We focus on timely execution, proactive exception management, and rigorous governance, and we drive delivery policies and transformational programs to enable success for our customers and Google. As a MODE Deployment PgM, you will lead complex, multi-disciplinary projects, define requirements with internal customers, and usher projects through the entire project lifecycle. You'll also manage project schedules, proactively identify risks and clearly communicate goals to project stakeholders. Your projects often span offices, time zones and hemispheres, and it's your job to keep all the players coordinated on the project's progress and deadlines.

The US base salary range for this full-time position is $159,000-$231,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities
  • Own on-time delivery performance of Machine Learning capacity.
  • Design, align, and drive efforts to improve efficiency, cycle times, reliability, predictability and on-time delivery.
  • Executive communication on global delivery outlook, detailed demand status, and align actions to stakeholders including Alphabet's Product Areas, AI leadership and partner organizations.
  • Collaborate across organizational levels and boundaries.
  • Oversee and ensure successful execution and delivery of plans and strategies. Troubleshoot issues, identify risk areas and develop mitigation strategies.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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