Technical Program Manager III, Customer Onboarding, Google Cloud Storage
Job Summary
Job Description
- Bachelor's degree or equivalent experience
- 5+ years program management experience
- Cloud technologies/technical infrastructure experience
- Customer support in capacity planning/inventory optimization
- Lead large customer onboarding onto Google Cloud Storage
- 5+ years managing cross-functional projects
- Experience in data modeling, trend analysis, forecasting
- Customer service focus on experience improvement
- Proficiency in Python or SQL
- Excellent communication and stakeholder influence skills
- bonus
- equity
- benefits
7 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in a relevant field, or equivalent practical experience.
- 5 years of experience in program management.
- Experience with cloud technologies or technical infrastructure.
- Experience supporting customers in capacity planning or inventory optimization.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
- Experience in data modeling, trend analysis, statistics, forecasting, or business insights.
- Experience in customer service with a focus on experience, process improvement, and operations tool development.
- Proficiency in Python or SQL for use in data analysis and manipulation.
- Excellent communication skills and ability to influence stakeholders internally and externally.
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 Technical Program Manager, you will lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You will explain your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you will manage projects of various size and scope, identifying future opportunities, improving processes, and driving the technical directions of your programs.
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 $156,000-$229,000 + 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 .
Responsibilities
- Lead the onboarding of large external cloud customers onto Google Cloud Storage, and support launches of features and products from a capacity and cost standpoint.
- Unblock scaling of large AI/ML workloads onto Google Cloud Storage through pre-deployment, runways, non-linear translation functions, and dynamic attach rates.
- Leverage data analysis to identify trends and correlations to develop insights that can improve processes and help make effective decisions.
- Partner with cross-functional stakeholders to understand the business pipeline, customer workloads and load parameters, and integrate this information into the capacity planning lifecycle.
- Drive the assessment of Compute, Storage, and Network capacity required to onboard and scale customer workloads while improving the overall customer experience.
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