Technical Program Manager, Machine Learning Operations, Research

Google

Mountain View, CA 94039

Posted 1 month ago

Job Description

Minimum qualifications:


+ Bachelor's degree or equivalent practical experience.


+ 3 years of experience in project or program management.


+ 2 years of experience in technical program management.


+ Experience working with data analytics tools and reporting platforms.


Preferred qualifications:


+ Experience performing data analysis, building metrics systems and tooling


+ Familiarity with machine resource provisioning, allocating, and queueing/scheduling systems


+ Familiarity with the Google production system and Borg scheduler


+ Familiarity with accounting-based and/or capacity planning principles


+ Ability to interact with diverse technical and non-technical groups, spanning all organizational levels.


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.


Research endeavors to meet the strategic priority for Google as an AI-first company by advancing in AI and CS. Our Business Area includes groups focused on Algorithms, Deep Learning, Human Computer Interaction, Machine Perception, Natural Language Processing/Understanding, ML Infrastructure, and Applied Science. Research collaborates across Google, Alphabet, and external organizations as both a research and a product organization.


The Technical Operations team strives to enable efficient work within the Business Area by building the right tools and processes for our researchers. Our team leads efforts in areas such as compute resource management, portfolio management, privacy, publication approvals, and more.


+ Develop and rollout operational processes and tools for compute resources based on best practices and feedback from stakeholders and users.


+ Establish metrics to inform planning decisions and measure efficiency and utilization, including reporting and alerting.


+ Manage technical configuration of resource management automation tools and troubleshoot errors in various infrastructure platforms.


+ Produce user guides, process documentation, and other forms of educational resources.


+ Collect inorganic demand signals from Engineering teams and clarify the prioritization of machine allocations, including working with Site Reliability Engineering (SRE) and establishing a formal process for forecasting growth.



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