Technical Program Manager, Core ML, Frameworks and Compilers

Minimum qualifications:

• Bachelor's degree in a relevant field, or equivalent practical experience.
• 8 years of experience in program management.
  
• 8 years of machine learning work experience.
  

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience in any one of the following; deep learning framework (TensorFlow, PyTorch, or JAX), or deep learning compiler or kernel development.
• Experience with cloud-based ML platforms and infrastructure.

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.

Core ML is Google's central platform team dedicated to providing machine learning software, tools, services, and infrastructure to various Google product areas. The mission is to advance machine learning capabilities across Google and beyond. The team focuses on simplifying ML experimentation, development, and production, collaborating with Google Research and other teams to bring innovative ML models and technologies to market. This work helps Google adapt to the rapidly changing landscape of ML hardware and software.

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.

• Drive strategic direction and execution for ML frameworks (e.g.,TensorFlow, JAX, PyTorch, etc.) and compilers across Alphabet, including Google.
• Align Engineering, Product, and Technical Program Manager leadership, ensuring cohesive project priorities and schedules.
• Collaborate with partner Product Associates (e.g., Search, YouTube, etc.) to manage expectations, facilitate smooth delivery, and minimize escalations.
• Proactively identify and resolve cross-functional and inter-team issues, managing multiple projects.
• Manage releases and engagement for high-visibility open-source libraries, designing scalable build and operational processes, and maintaining proactive communication.