Technical Program Manager, AI Enablement, Geo Expansion and Location Strategy

In accordance with Washington state law, this role is eligible for Google’s comprehensive US benefits package.

Benefits

• Health, dental, vision, life, and disability insurance
• Retirement: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years
• Sick Time: 40 hours/year (69 hours/year for Seattle), including 5 discretionary sick days per instance
• Maternity Leave: 28–30 weeks (Short-Term Disability + Baby Bonding)
• Baby Bonding Leave: 18 weeks
• 13 paid holidays per year

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 in large-scale, complex enterprise domains
• Strong problem-solving skills and excellent written and verbal communication skills

About the Role

A problem isn’t truly solved until it’s solved for all. 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 analyses and recommendations to executives as you are discussing technical trade-offs in product development with engineers.

The AI and Infrastructure team empowers 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 drive Google’s groundbreaking innovations, enabling the development of cutting-edge AI models, delivering computing power to global services, and providing platforms for developers to build the future. From software to hardware, our teams shape the future of hyperscale computing, working on TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and more.

Preferred working locations: Kirkland, WA; Atlanta, GA; Addison, TX; Reston, VA; Sunnyvale, CA.

Pay

US: $138,000 – $197,000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• 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
• Scope, plan, create, set milestones, and track programs 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 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