Technical Program Manager III, Hardware NPI, Cloud AI Systems

Google•Sunnyvale, CA

9d•$163,000 - $236,000

About The Position

As a Technical Program Manager for Cloud AI, you will lead the new product introduction of systems, hardware, and software critical to enabling Cloud and Google services. You will use technical expertise to lead complex, multidisciplinary projects from start to finish, working with stakeholders to plan requirements, identify risks, manage schedules, and communicate with cross-functional partners. The role requires communicating analyses and recommendations to executives and discussing technical tradeoffs with engineers. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, efficiency, reliability, and velocity for Google customers, Cloud customers, and Google users. Its work spans software and hardware, including AI models, computing, developer platforms, TPUs, Vertex AI for Google Cloud, global networking, data center operations, and systems research. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed U.S. compensation is $163,000–$236,000, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
At least 5 years of program management experience.
Experience with new product introduction across software or hardware products, such as launching chips and chip design.
Experience building and developing infrastructure or distributed systems.

Nice To Haves

At least 5 years of experience managing cross-functional or cross-team projects.
Experience in software engineering, hardware engineering, end-to-end validation/CUJ testing, and systems knowledge.
Experience launching data center products and deployments.
Excellent verbal and written communication and presentation skills.

Responsibilities

Lead cross-functional teams across organizational levels and functional areas to develop and deliver programs from inception to production.
Orchestrate overall program strategy and drive end-to-end execution across large cross-functional teams.
Drive project delivery, technology reviews, proposal challenges, and consensus.
Keep leadership and stakeholders continuously informed of progress and blockers, and drive strategic and tactical decisions across organizations and levels.
Enable execution across multiple teams and delivery across the Cloud product and solution portfolio.
Engage with engineering directors, product leaders, and other groups to streamline processes, simplify execution, manage OKRs, release on time, introduce efficiency tooling, and support teams in execution.