Ireland: €94000 - €96000 (EUR) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Work with global Program Manager (PgM) team to develop and deliver AI automation projects from conception to implementation and manage the relationships across engineering and operations.
Develop processes, infrastructure systems to scale AI workflow adoption across the Geo Data organization.
Create operational and product requirement documents that creatively solve Geo's scaling challenges via AI and Agents.
Manage resolution of project-related technical issues and engage with engineering to determine root causes and solutions.
Minimum qualifications
Bachelor’s degree in Computer Science, Data Engineering, Geographic Information Systems (GIS), or a related technical field, or equivalent practical experience.
2 years of experience in technical program management or technical execution focused on data operations or infrastructure.
Experience managing cross-functional infrastructure programs that support large language models (LLMs), computer vision, or high-throughput machine learning pipelines (e.g., compute clusters, storage solutions, and GPU provisioning).
Experience driving technical programs from conception to deployment across globally distributed engineering, research, data operations, and product teams.
Preferred qualifications
Experience implementing automated data-validation frameworks, anomaly detection models, and machine learning-assisted data cleaning to manage large volumes of unstructured or semi-structured geo-data.
Proven background in overseeing geospatial data pipelines, data ingestion frameworks, labeling/annotation operations, or massive spatial dataset curation (such as maps, remote sensing, or location intelligence data).
Familiarity with TPU utilization and prompt cost optimization strategies when scaling heavy workloads.
Bachelor’s degree in Computer Science, Data Engineering, Geographic Information Systems (GIS), or a related technical field, or equivalent practical experience.
2 years of experience in technical program management or technical execution focused on data operations or infrastructure.
Experience managing cross-functional infrastructure programs that support large language models (LLMs), computer vision, or high-throughput machine learning pipelines (e.g., compute clusters, storage solutions, and GPU provisioning).
Experience driving technical programs from conception to deployment across globally distributed engineering, research, data operations, and product teams.
