Technical Program Manager III, Machine Learning Portfolio, Cloud Networking

Google LLC
  • Addison, TX
    1 day ago

    Job Description

    Technical Program Manager III, Machine Learning Portfolio, Cloud Networking - Google Careers

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    Technical Program Manager III, Machine Learning Portfolio, Cloud Networking

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    corporate_fareGoogleplaceAddison, TX, USA; Atlanta, GA, USA; +2 more; +1 more

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    Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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    XThe application window will be open until at least September 07, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Addison, TX, USA; Atlanta, GA, USA; Thornton, CO, USA.

    Minimum qualifications:

    • Bachelor"s degree in a technical field, or equivalent practical experience.

    • 5 years of experience in program management.

    • Experience managing network delivery or critical capacity for Machine Learning (ML) product portfolios or global infrastructure platforms.

    • Experience with data center networking, data center infrastructure, or New Product Introduction (NPI).

    Preferred qualifications:

    • 5 years of experience managing cross-functional or cross-team projects.
    • Experience with large-scale data center operations or co-location.
    • Experience in supply chain and logistics.
    • Experience in data analytics.

    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.

    As a Critical Capacity and Machine Learning (ML) Portfolio Technical Program Manager (TPM), you are the Program Owner for Network Delivery Execution for a specific ML Product portfolio. You are directly accountable for translating strategic capacity plans of records into timely, measurable, and reliable network deployments. This role requires an extreme ownership mindset, prioritizing business outcomes over team boundaries and navigating the ambiguity of high-velocity New Product Introductions (NPIs).

    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.

    Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

    US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

    Learn more about benefits at Google.

    Responsibilities

    • Drive the day-to-day execution of the network delivery schedule, focusing on high-priority business objectives and critical capacity needs.

    • Identify and resolve strategic execution blockers including materials, priority shifts, and resource constraints.

    • Create high-signal status reports for GGI leadership and executive stakeholders, summarizing program status and the clear machine or cluster impact of anticipated delays.

    • Identify workflow inefficiencies within the network delivery process and implement process improvements that increase delivery speed and predictability.

    • Ensure high fidelity of network delivery data across systems.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    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.

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    LocationAddison, TX

    Skills

    • Analysis Skillsunmatched
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    • Systems Engineeringunmatched
    • Technical Leadershipunmatched
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    • YouTubeunmatched

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