Qualifications

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• 3 years of experience in Artificial Intelligence (AI) or Machine Learning (ML).
  
  

Preferred qualifications:

• 5 years of experience managing cross-functional or cross-team projects.
  
• Experience with AI-driven software development tools, coding agents, and automation technologies.
  
• Experience working on AI task automation projects or similar technologies that enhance user productivity.
  
• Experience working with Research, Engineering, Design, and Product teams to deliver consumer-facing features, ensuring alignment.
  
• Knowledge of software development practices and the potential for AI-powered tools to improve the developer workflow.
  
• Understanding of project management methodologies with the ability to manage complex, multi-functional projects in fast-paced environments.
  

Summary

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 5 years of experience in program management.
  
• 3 years of experience in Artificial Intelligence (AI) or Machine Learning (ML).
  
  

Description

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 be at the forefront of Artificial Intelligence (AI) innovation, working across multiple cutting-edge projects that revolutionize the user experience. You will play a pivotal role in driving projects that enable AI automation for both simple and complex tasks, freeing users to focus on more meaningful work, and transform how software is developed with AI-powered agents. You will work on a unique blend of AI innovation, project leadership, and on transformative technologies that impact both consumers and developers.

The US base salary range for this full-time position is $142,000-$211,000 + 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.

Responsibilities

• Oversee the execution of Artificial Intelligence (AI) task automation and code generation research efforts.
• Manage project and product life cycles for new AI-powered features and products. Track project milestones and ensure timely delivery of key AI automation features and tools.
  
• Develop and deploy AI-powered agents that assist with code generation, debugging, and testing, driving efficiency in software development.
  
• Collaborate with research, engineering, and product teams to deliver robust AI task automation, enabling users to complete tasks with precision and ease.
• Identify potential roadblocks and develop solutions to ensure smooth execution of projects. Coordinate with cross-functional teams to ensure seamless integration of AI into consumer-facing products, while facilitating communication between research scientists, software engineers, and product managers to align on project goals.