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

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Atlanta, GA, USA; Addison, TX, USA; Reston, VA, USA; Sunnyvale, CA, USA. 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. 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. 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 Responsibilities 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google