Technical Program Manager III, Hardware NPI, Cloud AI Systems

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• Experience with new product introduction across software or hardware products (i.e. launching chips and chip design).

Preferred qualifications:

• 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 with launching data center products and deployments.
  
• Excellent verbal and written communication and presentation 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.

As a Technical Program Manager for MSCA, you will lead the new product introduction of systems, hardware, and software critical to enabling Cloud and Google services.

The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 a cross-functional team, spanning all organizational levels and functional areas to develop and deliver programs from inception to production.
  
• Orchestrate the overall program strategy and drive end-to-end execution across large cross-functional teams.
  
• Drive project delivery, technology reviews, challenge proposals and consensus.
  
• Ensure all leadership/stakeholders are aware of progress/blockers on a continuous basis; drive strategic and tactical decisions throughout all organizations and levels.
  
• Enable execution across multiple teams and drive delivery across the complete portfolio of Cloud products and solutions, engage with engineering directors, product leaders, and other groups to streamline processes, simplify execution, manage OKRs, release on time, bring tooling for efficiencies, and help teams in execution.