Looker

The application window will be open until at least July 7, 2025. 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: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in Product Management, Customer Engineering, Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management.
• Experience with data center infrastructure deployments across IaaS compute, storage, database, networking, security, and AI products.
• Experience with data analysis, generating data-driven insights to influence executive level decision-makers.

Preferred qualifications:

• MBA or other relevant advanced degree.
• Experience leveraging investigative skills (e.g., financial modeling, spreadsheets, SQL, Looker, etc.) to problem solve, influence business leadership, measure outcomes, and evolve recommendations based on results.
• Experience tailoring and delivering compelling reporting and presentations by the audience, asking strategic questions, and leading conversations that drive results and efficiencies.
• Knowledge of enterprise customers and cloud technologies, products and market landscape.
• Familiarity with data center capacity planning tools and concepts across space and power, compute and storage, and different machine types.
• Familiarity with AI chip types and use cases across GPUs, TPUs and Vertex AI Services.

As a Cloud Infrastructure and AI Health Specialist for Google Cloud, you will be responsible for defining, landing, and executing on our key infrastructure AI strategic priorities to drive operational excellence, business growth, and productivity. You will work directly with the Field Sales, Customer Engineers, AI Strategists, and Capacity Planners to develop demand signals for our AI products and ensure capacity delivery against those signals. You will also be responsible for developing insights into AI performance trends, identifying key drivers of consumption, making actionable recommendations to the field to drive customer adoption, and developing region expansion plans. You will provide business insights, ensure cross-functional alignment, drive strategic partnerships, and execute new initiatives. The organization's goal is to align company priorities with day-to-day operations and evolve early-stage ideas into future growth initiatives.

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.

The US base salary range for this full-time position is $147,000-$216,000 + 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.

• Partner with Go-To-Market Field teams, Product, and Capacity Planning to identify AI signals and determine supply allocations. Automate and scale the signaling process globally.
• Develop business cases for new infrastructure with detailed demand plans across dimensions of data center business, customer usage, product level consumption, and Go-to-Market strategy; design and operate complex financial models.
• Own a territory of infrastructure regions as the subject matter expert for data center performance, capacity, and service availability.
• Influence executive-level decision-making around core business decisions, such as prioritization of growth opportunities, through scalable and actionable insights to increase productivity.
• Run and improve operations by launching new programs, goal setting, streamlining processes, automating tasks, identifying opportunities across the business, and optimizing resource allocation.