{"id":2847168,"url":"https://alion.io/job/google-technical-program-manager-ai-enablement-regional-portfolio-planning","title":"Technical Program Manager, AI Enablement, Regional Portfolio Planning","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":84,"open_postings":184,"ghost_share":0.038,"stale_share":0.538,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":169000,"max_usd":309000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2544},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-10-19T08:11:22Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T21:03:43Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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.\nBehind 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nLead cross-functional programs that will enable the implementation of AI in all data center asset regional planning functions.\nIdentify gaps and define opportunities for scaling AI solutions, standardizing AI feature implementation, and driving program delivery through technical judgment.\nDevelop and manage complex data sets to create integrated DC asset supply forecasts (including energy, real estate and other critical infrastructure needs), leveraging AI tool outputs to drive critical supply planning and tradeoff decisions.\nDrive Investment Alignment through robust supply plans; communicate resource requirements and investment signals to key suppliers and execution partners (Acquisition, Energy, Construction) to ensure regional supply plans align with business objectives.\nEstablish cross-functional governance frameworks to enforce planning principles, monitoring impact of asset delivery status and risks from site acquisition through construction completion on the geographic DC supply plans.\nQualifications\nMinimum qualifications:\nBachelor's degree in a technical field, or equivalent practical experience. \n5 years of experience in program management.\n5 years of experience with artificial intelligence/machine learning projects, tools, or infrastructure with applications.\n3 years of experience with data centers in the areas of supply planning, site development, construction, or design. \nPreferred qualifications:\nExperience implementing artificial intelligence within complex enterprise domains.\nDemonstrated ability to independently develop data-driven technical insights and quickly translate them into executable 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