Technical Program Manager III, Machine Learning Infrastructure, Google Cloud

Google • Mountain View, CA

1d

About The Position

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. This is the central machine learning platform team that provides performant Machine Learning (ML) software tools and infrastructure to all the Google first part product areas , including Search, Ads, YouTube, and Vertex. Our aim is to make it easier to perform ML experimentation, development and productionization. We work closely with Google Research and DeepMind to bring new ML models and innovation across the stack to market. This enables us to better meet the issues of the rapidly evolving hardware and software space around ML. 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.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience with machine learning infrastructure.
• Experience with machine learning frameworks (e.g., JAX, PyTorch, or TensorFlow) or compilers.

Nice To Haves

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with machine learning modeling.
• Experience with kernels.
• Experience coding in C++ for low-level performance and Python for framework integration.
• Ability to manage ambiguity and a high degree of self-motivation.

Responsibilities

• Drive strategy and execution accelerating TPU Ecosystem by building a performant, ML software stack, and accelerating the ecosystem to support TPU deployment.
• Work closely with Engineering, Product and Technical Program Management leadership and align project priorities and schedules.
• Work closely with partner product areas on managing expectations and ensuring smooth delivery by minimizing escalations.
• Identify and solve cross-functional and inter-team issues quickly.
• Manage multiple interdependent projects of high complexity and scope while managing communication of objectives, progress, and project status with stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees