Technical Program Manager II, Demand Planning, Cloud Supply Chain

Mid • On-site

$132,000 - $189,000/yr

Kirkland, WA , +1

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
Experience in Supply Chain Planning in the Cloud or Machine Learning industry.
Experience in Scenario Modeling or Demand Planning.

Preferred qualifications:

2 years of experience in managing cross-functional or cross-team projects.
Experience with Resource Management at a tech company.
Experience in working with executive stakeholders and managing engaging opinions and viewpoints.
Experience in collaborating with partners and customers to solve problems.

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.

The Demand Planning team is responsible for forecasting the infrastructure needs for all of Google's ML workloads, working with product, research, and engineering teams.

In this role, you will transform Demand Planning of the ML Fleet at Google. You will work with Google operations and deployment teams, supply chain, data center infrastructure, networking, and software engineering teams to define and deliver the future state of optimal resource management within Google. You will include the location deployment planning, the balancing of resource distribution against supply chain, data center infrastructure, network, shared service, and budgetary constraints, and the implementation of tools and policies to optimize resource management across the entire engineering stack at Google.

The US base salary range for this full-time position is $132,000-$189,000 + 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

Manage the intake, prioritization, approvals, allocation, and stakeholder management for capacity needed for critical ML launches.
Scale systems by rebuilding or supporting the existing Google platform, to meet the needs of users.
Collaborate and support Machine Learning programs at Google.
Identify opportunities to scale Machine Learning Fleet operations and lead process improvement initiatives.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.