Technical Program Manager III, NPI Hardware, Cloud AI Systems

Technical Program Manager III, NPI Hardware, Cloud AI Systems

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience in managing programs in both hardware and software development lifecycles. Experience managing New Product Introduction for hardware.

Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience in hardware and software engineering, with a specific focus on computer hardware and large-scale distributed systems. Excellent verbal and written communication skills with a history of engaging and influencing engineering directors and executive-level stakeholders.

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

The Platforms Infrastructure Engineering Program Management Office (PMO) is part of Technical Infrastructure (TI) under Cloud AI programs organization and partners with Google Compute Engine/Technical Infrastructure Engineering, Networking, Data Center, Supply Chain and Operations teams to deliver a broad product roadmap of AI/ML and Standard Compute systems, and solutions critical to enabling Cloud (3P) IaaS business and Google (1P) services. In this role, you will be the lead technical program manager driving system and solution development to deliver next generation standard compute systems for Cloud, TI and AI/ML use cases.

Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google.

Responsibilities Led the end-to-end strategy and execution for next-gen compute and AI/ML products, establishing OKRs and governance standards from inception to production. Manage multiple high-priority programs, aligning engineering, product, and supply chain teams to unblock obstacles and streamline cloud portfolio delivery. Leverage deep technical expertise in hardware/software development and New Product Introduction (NPI) to lead technology reviews and challenge proposals. Apply strong problem-solving skills to ensure product MVPs meet quality and performance standards. Act as a strategic partner to engineering directors and product leaders, providing transparent visibility into program health. Drive both tactical and strategic decision-making through clear, executive-level communication across all organizational levels. Advocate operational efficiency by developing detailed project documentation, process maps, and automated tracking reports. Lead and mentor project staff, fostering a culture of high performance and continuous improvement.