{"id":2929949,"url":"https://alion.io/job/google-technical-program-manager-geo-data-operations-ai-infrastructure","title":"Technical Program Manager, Geo Data Operations AI Infrastructure","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":76,"open_postings":43,"ghost_share":0,"stale_share":0.93,"repost_share":0.023,"time_to_fill_p50_days":30,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Product","role_family":"Product","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":138000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":656},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Google Maps","optional":false},{"name":"Machine Learning","optional":false},{"name":"TPU","optional":true}],"status":"live","first_seen_at":"2026-10-20T09:43:38Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T16:37:07Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nA 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.\nThe Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.\nThe Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.Ireland: €94000 - €96000 (EUR) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nWork 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.\nDevelop processes, infrastructure systems to scale AI workflow adoption across the Geo Data organization.\nCreate operational and product requirement documents that creatively solve Geo's scaling challenges via AI and Agents.\nManage resolution of project-related technical issues and engage with engineering to determine root causes and solutions.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Computer Science, Data Engineering, Geographic Information Systems (GIS), or a related technical field, or equivalent practical experience.\n2 years of experience in technical program management or technical execution focused on data operations or infrastructure.\nExperience 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).\nExperience driving technical programs from conception to deployment across globally distributed engineering, research, data operations, and product teams.\nPreferred qualifications:\nExperience 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.\nProven background in overseeing 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