Distinguished Engineer, Demand and Capacity Planning
Job Description
- Experience with enterprise programs and cloud technologies
- Experience with Sales and Operations Planning (S&OP) processes and tooling
- Understanding of technical trends and ability to adapt to new technologies
- 15+ years software engineering experience
- 10+ years forecasting, optimization, supply chain experience
- Experience with large-scale demand/capacity planning systems
- Technical expertise in forecasting, optimization, and supply chain management
- Cross-functional leadership and collaboration
Minimum qualifications:
- Bachelor's Degree in Computer Science, a related field, or equivalent practical experience
- 15 years of software engineering experience building and working with systems in a technology organization
- 10 years of experience in applying forecasting, optimization, and supply chain management to solve problems
Preferred qualifications:
- Experience in developing and implementing large-scale demand and capacity planning systems
- Experience with enterprise programs and cloud technologies
- Experience with Sales and Operations Planning (S&OP) processes and tooling
- Experience with inter-team and cross-functional leadership
- Technical expertise in forecasting, optimization, and supply chain management
- Understanding of technical trends and ability to adapt to new technologies to improve demand and capacity planning processes
About the job
Google’s Demand and Capacity Planning tooling organization is responsible for ensuring that Google has the right infrastructure resources in the right place at the right time to support the company's goals. This includes developing and implementing strategies, processes, and tooling for managing demand and capacity across all of Google’s infrastructure, encompassing Machine Learning, Cloud, and Standard Fleets. This organization is critical to Google's success, as it directly impacts the company's ability to innovate and deliver products and services to its users. The team works to optimize resource allocation, improve efficiency, and ensure that Google's infrastructure is both scalable and reliable.
As a Distinguished Engineer, you will be responsible for driving, deciding and landing the technical roadmap for Google's demand and capacity planning. You will add expertise in large-scale systems, forecasting, and supply chain management and guide teams towards execution. You will partner with engineering and product teams, as well as cross-functional stakeholders, to define technical directions, and ensure that Google's infrastructure can meet the growing needs of the company. You will work to understand the challenges in demand and capacity planning and translate them into technical designs and implementations.
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 $349,000-$485,000 + 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
- Define the technical outlook for automating and unifying demand and capacity planning across all of Google's infrastructure, including ML, Cloud, and Standard Fleets.
- Partner with Google’s ML, Cloud, and Standard Fleet teams to drive innovations in demand and capacity planning, and bring technologies to the platform.
- Influence the development of advanced forecasting models and algorithms, incorporating various factors such as historical data, market trends, and business priorities.
- Develop a structure of other technical leads in the area, both by defining technical goals and orienting teams around technical decisions they can make, and by providing development support to engineers in the area.
