Technical Program Manager II, Machine Learning, Technical Infrastructure

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 2 years of experience in program management.
• Experience with machine learning or AI in a software development environment.
• Experience in querying, data analysis or working with data sets.

Preferred qualifications:

• 2 years of experience managing cross-functional or cross-team projects.
• Experience with deploying large language models.
• Experience in large scale, distributed infrastructure.
• Experience with SQL.
• Experience with supply chain management within the technology industry.

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.

As a Technical Program Manager, you will possess both technical and project management skills. You will work with various teams to develop a plan and coordinate the execution of resource allocation strategies. The Product Area Resource Manager advocates the resource needs of the Product Area (PA) while ensuring that overall Google's assets are being utilized in the most efficient and priority-aligned manner.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Work with Product Area partners to understand GPU/TPU needs and provide them a guided resource management experience.
• Work with Software Engineers (SWEs)/Site Reliability Engineer (SREs) to discover efficiency opportunities in the existing resource footprints we manage.
• Direct operational work will be required to use our tooling in order to drive capacity allocations and allied processes. This role has a significant operational component. A technical/engineering background is preferred.
• Understanding machine learning fundamentals is required. Experience in deployment of large scale machine learning models.
• Advocate process and tool improvements, partnering cross-functionally to drive automation and scale. Leverage data analysis skills to maximize business value from available resources.