Program Manager III, Machine Learning Deployment, Cloud Supply Chain
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Apply to Program Manager III, Machine Learning Deployment, Cloud Supply Chain at GoogleJob details
- Location
- Sunnyvale, California
- Work type
- Onsite
- Compensation
- $159,000 - $231,000/yr
- Posted
- 2 days ago
- Apply on
- careers.google.com
About this role
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.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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.