Technical Program Manager III, New Product Introduction, Cloud Infrastructure

Minimum qualifications:Bachelor's degree or equivalent practical experience.5 years of experience in program management.Experience with new product introduction across software or hardware products.Preferred qualifications:5 years of experience managing cross-functional or cross-team projects.Experience with machine learning.Experience in communicating with executives.Knowledge of system design, software, and tools and operations.Excellent written and presentation skills, with the ability to interact with both technical and non-technical audiences.Excellent 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.Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.As a part of the Platforms Project Management Organization (PMO) team, the Machine learning (ML) System PMO team leads the programs that build and deliver ML Tensor Processing Unit (TPU) systems for internal product areas and Cloud customers.As a Technical Program Manager at Google, you will lead complex, multi-disciplinary engineering projects using engineering knowledge. You will plan requirements with internal customers and guide projects through the entire project life-cycle. You will manage projects of various size and scope, identify future opportunities, improve processes, and drive the technical directions of the programs.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Lead technical program management for machine learning system New Product Introduction (NPI) across all phases of the product life-cycle.Shape technical direction across multiple teams, adding value to various engineering efforts.Manage escalations and unblock obstacles, ensuring all leadership/stakeholders are aware of progress/blockers on a continuous basis.Guide alignment on timelines, goals, and deliverables of related projects and teams, drive strategic and tactical decisions throughout all organizations and levels.Drive platform infrastructure engineering activities and program manage across diverse cross-functional teams.