Technical Program Manager, AI Systems

Drive complex, cross-functional programs to scale our core developer systems and resolve bottlenecks created by the rapid adoption of AI-powered tooling.Manage the lifecycle of high-visibility AI developer products, coordinating across multiple workstreams to ensure they meet Google's standards for quality, reliability, and usability.Identify and resolve complex inter-team challenges, navigating strategic dependencies, product overlaps, and engaged dynamics to ensure a cohesive direction.Partner with engineering leads to drive architectural alignment across multiple complex services and platforms, reducing technical debt and improving interoperability.Help shape and execute an ambitious, long-term AI strategy for foundational developer tools, responding to user needs and executive goal.Minimum qualifications:Bachelor's degree in Computer Science, Data Science, a related field, or equivalent practical experience.5 years of experience in Technical Program/Product Management or Engineering Management, with 2 years of experience in AI/ML projects.3 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).2 years of experience leading software development and AI powered feature development or model improvement with distributed teams, managing execution across different locations and time zones.Experience with data analysis and data tools (e.g., SQL, MySQL, Tableau, etc.).Preferred qualifications:Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.Experience with leading large scale technical projects or working with engineering teams.Comfortable working with tools like Figma, Sheets, Slides, Docs, and other relevant productivity and collaboration platforms.Ability to collaborate with executive internal stakeholders on high visibility projects across different functions and geographies to manage change and drive continuous improvement initiatives.Ability to exercise technical judgment in solving software engineering challenges.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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Germany: 128000 - 131000 (EUR) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Computer Science, Data Science, a related field, or equivalent practical experience.5 years of experience in Technical Program/Product Management or Engineering Management, with 2 years of experience in AI/ML projects.3 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).2 years of experience leading software development and AI powered feature development or model improvement with distributed teams, managing execution across different locations and time zones.Experience with data analysis and data tools (e.g., SQL, MySQL, Tableau, etc.).