at Google
Location
Sunnyvale, CA, USA
Compensation
$138k–$198k USD
Type
full time
Posted
Yesterday
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $198k · in the market band
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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.
In this role, you will be the technical engine behind Google’s network demand planning. You will design, build, and maintain the business intelligence infrastructure, reporting dashboards, and data pipelines necessary to optimize our demand plan. You will deliver forecast accuracy and drive towards autonomous planning, you will write scripts to automate complex data workflows, manipulate large datasets within back-end tables, and extract insights into network demand trends. You will partner closely with Cloud Networking product, data science, engineering, and planning teams to translate complex business requirements into technical solutions, automated processes, and scalable data models.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.More open roles at Google
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