Senior Technical Program Manager II, Gemini Enterprise, Cloud AI

Manage programs with deep technical and product understanding, applying rigorous program management to complex AI contexts.Leverage technical knowledge to identify efficiencies and provide thought leadership.Manage end-to-end lifecycles, from requirement gathering and risk assessment to feature prioritization.Partner with engineering and product management to define workstreams, resource plans, and project milestones.Develop and implement actionable plans based on data and context.Minimum qualifications:Bachelor's degree in a a technical field, or equivalent practical experience. 10 years of experience in program management.Experience with AI model training, testing, evaluation, and tuning processes, Large Language Model (LLM) release cycles and timeline management.Experience in KPIs for AI products.Experience translating technical concepts into strategy.Preferred qualifications:10 years of experience managing complex cross-functional or cross-team projects.Knowledge of KPIs for AI products.Strong understanding of ML/AI principles and their distinctions from traditional software development.Ability to quickly grasp technical concepts and translate them into strategy.Ability to interpret deep technical specifications and apply rigorous program management.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. Join our Cloud AI team and shape the future of AI development. As a Technical Program Manager (TPM), you will lead the delivery of Generative AI products for enterprise customers. You will partner with product managers, engineers, and leadership to define roadmaps, prioritize features, dive deeper into the technical and product specifications, and drive complex technical projects to successful release. In this role, you will navigate a fast-paced environment where your technical depth, product understanding, and program management expertise directly influence Google’s AI strategy. If you are passionate about AI, skilled at managing complex programs, and ready to go deep technically on the product specifications, we want to hear from you. Help us empower developers to build the next generation of intelligent applications. You will be an innovative thinker capable of navigating organizational complexity.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: $240000 - $333000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in a a technical field, or equivalent practical experience. 10 years of experience in program management.Experience with AI model training, testing, evaluation, and tuning processes, Large Language Model (LLM) release cycles and timeline management.Experience in KPIs for AI products.Experience translating technical concepts into strategy.