Technical Program Manager, On-device AI Infrastructure

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• Experience in Machine Learning/AI Infrastructure.
  

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
  
• Experience with ML infrastructure.
• Experience with Android OS, iOS, and Chrome OS stack development.
  

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.

Core Machine Learning (ML) is the central machine learning platform team that provides ML software tools, services, solutions and infrastructure to Google product areas. The goal is to make it easier to perform ML experimentation, development, and productionization and work with Google Research to bring new ML models and innovation across the stack to market.

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 $168,000-$252,000 + 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 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

• Drive strategy and execution for On-device machine learning infrastructure and performance across multiple product areas.
• Drive on-device Hybrid strategy and implementation cross-product area.
  
• Work with Engineering, Product, and leadership and align project priorities and schedules.
  
• Work with internal partner product areas such as GDM, Devices and Platforms on managing expectations and ensuring delivery by minimizing escalations, and external partners such as Qualcomm, SLSI, MTK to enable smooth deployment of Generative AI on device.
  
• Manage communication of objectives, progress, and project status both within the team and with partner and customer teams.