Minimum qualifications:

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 5 years of experience in program or project management.
  
• Experience with Machine Learning or AI in a software development environment.
  

Preferred qualifications:

• Experience in launching Machine Learning or Artificial Intelligence products from research to production.
  

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.

In this role, you will play a key role in accelerating from research to production. You will partner with product managers, engineers, and leadership to define road maps, prioritize features, and ensure timely releases.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.

• Develop and manage the overall program plan for LLM development and deployment, including requirements gathering, risk assessment, and resource allocation.
  
• Work closely with researchers, engineers, and other stakeholders to define and prioritize LLM features and capabilities across various workstreams (e.g., infra, data, model, eval, and deployment).
  
• Track and manage the progress of LLM development and deployment, identifying and mitigating risks, and ensuring that projects are completed on time and within budget.
  
• Communicate effectively with stakeholders at all levels 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 development and deployment process.