Technical Program Manager III, Generative AI Serving Efficiency, Google Cloud

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• Experience in Machine Learning and Infrastructure Efficiencies.
• Experience in accelerator (e.g., GPU, caching, quantization, batching, etc.) or generative AI.

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
• Experience building products and services that empower AI developers.
• Experience optimizing AI infrastructure for performance, scalability and efficiency.
• Experience working collaboratively while being customer-focused.
• Passion for AI and its potential to transform the world.

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.

In this role, you will be responsible for developing and delivering compute, platforms, and products that support Google's AI-first products, research, and Cloud offerings. Your work will impact users and shape the future of AI. The team is focused on delivering positive value to customers and partners, both internal and external. In this role, you will be encouraged to experiment, take risks, and contribute ideas. You'll be the conduit between the team and Google's product areas enabling them to manage their serving fleet efficiently, enabling them to productionize the latest Gemini launches.

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 $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

• Develop and manage the overall program plan for Generative AI Serving Efficiencies including communication/planning on migrations, applications of efficiency initiatives, and resource allocation.
• Work with Technical Program Managers, Serving Engineers, and product area PoCs to define and prioritize feature gaps to enable product areas to adopt the latest efficiency recommendations.
• Track and manage the progress of efficiency rollouts.
• Communicate with stakeholders to keep them informed of the program's progress and to obtain their buy-in on key decisions.
• Facilitate collaboration and coordination between the different teams involved in the LLM deployment process.