Minimum qualifications:

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

Preferred qualifications:

• 8 years of experience managing cross-functional and/or cross-team projects.
  
• Experience in Machine Learning infrastructure.
  
• Experience in TensorFlow, Pytorch or Jax.
  

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.

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.

Responsibilities

• Drive strategy and execution for Machine Learning (ML) frameworks across multiple product areas.
  
• Work closely with partner product areas to manage expectations and ensuring smooth delivery by minimizing escalations.
• Manage releases and engagement on high-visibility open-source libraries with large user bases.
• Design and implement build and operational processes that help the teams/organization scale.
  
• Manage communication of objectives, progress, and project status both within the team and with partner and customer teams.