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Job Details
Posted date: Apr 23, 2025
Location: Seattle, WA
Level: Director
Estimated salary: $220,000
Range: $177,000 - $263,000
Description
Build and maintain relationships with executive cross-functional stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services. Lead customer-facing solutions workshops to gather requirements that deliver back to the customer a plan of record for the customer to follow. Collaborate with cross-organizational stakeholders and within their respective process life-cycle to provide technical guidance, or identify possible existing/new technical solution offerings to help shape outcomes. Develop architectures that include cross-platform technologies to be incorporated into subscription agreements, and take a mission-oriented approach using the guiding principles of simplicity, repeatability, and consumability.In this role, you will partner as a full stack software developer with customers and other Google Cloud Platform (GCP) teams across Google Public Sector and Google Cloud to craft the development of prototypes to architect and demonstrate what is possible with customers by the GCP platform. You will be responsible for taking the experiments developed and translating them into consumable, repeatable, and scalable packages that can be taken to market by the Google Public Sector Go-To-Market (GTM) team. You will be responsible for facilitating cross-functionally internally and externally with customers through supporting workshops (e.g., design thinking, solutions workshops) to gather requirements and help build success criteria and a roadmap for sustained adoption of the GCP platform.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $177,000-$263,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience.8 years of experience in designing cloud enterprise solutions and supporting customer projects to completion. Experience with coding in Python or Javascript, including data structures, algorithms, and software design. Experience in building machine learning solutions and working with technical customers.
Preferred qualifications: Master's degree in Statistics, Applied Mathematics, Computer Science, Engineering, Data Science, Analytics, or a related fields. 10 years of experience in managing projects and working with analytics, software coding, or customer-side web technologies. 10 years of experience with working in a customer-facing role Experience in designing software workflows and user interfaces that integrate and utilize Generative AI tools for various applications. Experience in developing with React. Knowledge of Artificial Intelligence/Machine Learning (AI/ML) related business use case to algorithm selection, training, tuning, inference, and training pipeline design and build.
Extended Qualifications
Bachelor's degree in Computer Science or equivalent practical experience.8 years of experience in designing cloud enterprise solutions and supporting customer projects to completion. Experience with coding in Python or Javascript, including data structures, algorithms, and software design. Experience in building machine learning solutions and working with technical customers.
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