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Senior Technical Program Manager, AI Infrastructure, Public Sector

Google • Full-time • Washington, District of Columbia, United States • $183k - $271k / year • 7h ago

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience.
8 years of experience in program management.
5 years of experience as a technical program manager, architect, or software development engineer in cloud/on-premise or equivalent experience in a customer-facing role.
3 years of experience in program management, specifically within delivering on AI Infrastructure projects.
Must possess an active Top Secret/SCI security clearance with current polygraph.

Preferred qualifications:

5 years of experience working cross-functionally in a highly integrated team composed of both technical and non-technical members.
3 years of experience in a sales organization or public procurement organization.
Experience in designing and delivering applications on Cloud platforms and on-premises Graphics Processing Unit (GPU)/High Performance Computing (HPC) environments.
Experience in communicating technical concepts to non-technical audiences.
Experience in large scale distributed systems.

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 the Senior Technical Program Manager for AI Infrastructure, you will be responsible for the end-to-end execution of large-scale AI agreements for the US Federal Government and R1 Universities. You will be aligned to Google Public Sector’s most strategic customers, primarily focusing on managing complex AI Infrastructure deployments and ensuring the successful ramp of workloads.

In this role, you will track and drive accountability across organizational boundaries to navigate technical and security hurdles. You will exercise your cross-functional skills to manage stakeholders across engineering, product, and the customer, acting as the operational anchor for agreement delivery. Additionally, you will support the business by coordinating field enablement materials for AI sales plays and partnering with Sales Operations to track business and pipeline health. Finally, you will execute with a bias for action, applying agile methodologies to close process gaps and ensure mission outcomes.

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 $183,000-$271,000 + 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.

Responsibilities

Own the ramp and execution of AI Infrastructure workloads among Google Public Sector's largest customers and drive accountability across organizational boundaries.
Build solutions to close gaps in existing processes and apply agile methodologies where appropriate.
Develop architectures that include cross-platform technologies to be incorporated into sales plays and subscription agreements; taking a mission-oriented approach using the guiding principles of simplicity, repeatability, and consumability.
Coordinate with Sales Operations to drive a metric-driven culture in the adoption and execution of AI Infrastructure sales and business.
Provide recommendations on integration strategies, architectures, platforms, and application infrastructure required to implement a complete solution, and advise customers on best practices to optimize Google Cloud.

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