Job description

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. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google . • Identify gaps and opportunities for scaling and operationalizing AI solutions. Provide expertise and support on specific projects and standardize the approach for expansion of AI features to stakeholders. • Be responsible for scoping, planning, creating, setting milestones and program tracking with cross-functional partners. • Use leadership, product and technical judgment in AI to drive program delivery. • Navigate multiple, interdependent work streams, functional and technical AI concepts, and conversations across different stakeholders to drive collaboration and consensus. • Manage multiple data sets and sources to optimize AI output. Collaborate within SSP to develop geo-spatial/mapping solutions for planning purposes. • Bachelor's degree in a technical field, or equivalent practical experience. • 2 years of experience in program management. • 2 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure. • Experience with Geo-spatial tools or projects. • Experience in data center or network physical infrastructure planning, evaluation and negotiations. Minimum qualifications: • Bachelor's degree in a technical field, or equivalent practical experience. • 2 years of experience in program management. • 2 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure. • Experience with Geo-spatial tools or projects. • Experience in data center or network physical infrastructure planning, evaluation and negotiations. Preferred qualifications: • 2 years of experience managing cross-functional or cross-team projects. • Experience with AI/Machine Learning projects, tools, or infrastructure with large-scale, complex applications within complex enterprise domains. • Strong problem-solving skills and excellent written and verbal communication skills.

Requirements

Must-haves

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Identify gaps and opportunities for scaling and operationalizing AI solutions. Provide expertise and support on specific projects and standardize the approach for expansion of AI features to stakeholders.
Be responsible for scoping, planning, creating, setting milestones and program tracking with cross-functional partners.
Use leadership, product and technical judgment in AI to drive program delivery.
Navigate multiple, interdependent work streams, functional and technical AI concepts, and conversations across different stakeholders to drive collaboration and consensus.
Manage multiple data sets and sources to optimize AI output. Collaborate within SSP to develop geo-spatial/mapping solutions for planning purposes.
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure.
Experience with Geo-spatial tools or projects.
Experience in data center or network physical infrastructure planning, evaluation and negotiations.
Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
2 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure.
Experience with Geo-spatial tools or projects.
Experience in data center or network physical infrastructure planning, evaluation and negotiations.
2 years of experience managing cross-functional or cross-team projects.

Nice-to-haves

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Experience with AI/Machine Learning projects, tools, or infrastructure with large-scale, complex applications within complex enterprise domains.
Strong problem-solving skills and excellent written and verbal communication skills.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: google
Effort: medium