Technical Program Manager II, Analytics and Tooling Automation, Cloud Networking

Sunnyvale, CAPosted Jul 11, 2026
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Technical Program Manager II, Analytics and Tooling Automation, Cloud Networking _corporate_fare_ Google _place_ Sunnyvale, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in a technical field, or equivalent practical experience. + 2 years of experience in program management. + Experience with tooling and automation development. + Experience working with data analytics tools (e.g., SQL, BigQuery, R, etc.) and reporting platforms (e.g., Tableau, Microstrategy, Business Objects, etc.). **Preferred qualifications:** + 2 years of experience managing cross-functional or cross-team projects. + Experience extracting and manipulating data and writing automation scripts to streamline workflows (e.g., SQL, Python, Appscript, etc.). + Experience managing cross-functional projects and driving alignment between technical and non-technical stakeholders. + Experience developing interactive reporting dashboards and working with BI visualization tools. + Passion for learning new AI frameworks, rapid prototyping, with the ability to drive results. **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. 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. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Build, maintain, and optimize complex queries, automated scripts, and interactive reporting dashboards to generate the demand plan, visualize network demand trends, and surface business insights. + Lead the development of internal tools and data pipelines. Leverage scripting and back-end data manipulation to automate manual workflows, reduce planning cycle times, and drive the transition toward autonomous planning. + Design and implement the backend data structures and reporting frameworks required to seamlessly operationalize the demand and forecasting processes for new network products and architectures. + Act as the bridge between technical and business teams. Partner closely with engineering, data science, and planning groups to translate organizational OKRs into scalable data models and BI solutions, while balancing competing priorities. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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