Senior Technical Program Manager, Machine Learning, Google Cloud

Minimum qualifications:

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 8 years of experience in program management.
  
• Experience with machine learning/AI in a software development environment.
  

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
  
• Experience in launching Machine Learning or Artificial Intelligence products from research to production.
  

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.

In this role, you will play a key role in accelerating Gemini 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.

Responsibilities

• Implement communications standards across a portfolio of programs including executive and key partner communications, including working with researchers, engineers, and other stakeholders to define and prioritize Large Language Model (LLM) features and capabilities.
  
• Establish a reliable and visible cadence for program reviews, decision-making, prioritization, and resource stewardship (effective deployment of machine and people resources) such as efficiency and utilization gains are measurable and the impact can be felt organization wide.
  
• Lead a governance structure that drives effective executive decision-making. Ensure governance structure effectively exposes and mitigates dependencies.
  
• Define a program portfolio solving problems that target high business impact for the organization and product area.
  
• Develop and manage the overall program plan for LLM development and deployment (requirements gathering, risk assessment, and resource allocation) in order to deploy LLMs in a production-ready environment, meeting user needs.