Technical Program Manager III, Machine Learning Portfolio, Cloud Networking

• 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.

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

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, 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/) .

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