{"id":4004468,"url":"https://alion.io/job/google-practice-architect-agentic-data-cloud-2","title":"Practice Architect, Agentic Data Cloud","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":132,"ghost_share":0.045,"stale_share":0.75,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"AI Agents","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Spanner","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-10T05:40:05Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T06:17:29Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nAs a Global GTM Practice Architect for Agentic Data Cloud within Google Cloud, you will bring technical depth, commercial GTM mastery, and a proven track record to drive and scale the Go-To-Market (GTM) motion. Your goal is to own the global strategy and business goals for this business, and support execution in partnership with Sales Specialists, Customer Engineering, and Forward Deployed Engineer (FDE) leaders. You will function at the core of numerous contributing teams and GTM stakeholder organizations, regionally and globally, to drive the design, implementation, and business results of the overall strategy.As a member of this team, you will showcase technical credibility, executive presence, commercial judgment, and a relentless bias for execution in architecting and landing the right model for Google Cloud’s business objectives and the engaged market landscape. You will engage directly with customers, both whiteboarding and demonstrating Google Cloud’s data and AI architecture, and converting their feedback into product and play adaptations.\nGoogle Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $224000 - $311000 (USD) + 25% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDefine and influence annual and quarterly GTM strategy and planning for Agentic Data Cloud (Data Analytics, Databases, and Knowledge Catalog), shaping organization design, talent and capacity models, account segmentation, commercial incentives, and field priorities.\nDefine, design, build, and execute a unified, full-funnel sales motion with cross-functional teams that threads Product, Sales, Customer Engineering (CE), Forward Deployed Engineers (FDEs), Marketing, and the partner ecosystem from pipeline generation through consumption.\nDrive executive alignment and decision-making across a matrixed global organization, partnering with executive leaders across Sales, Technical Field, Product, Engineering, Finance, and Operations to translate strategy into field execution.\nArchitect industry and platform-led sales plays, propensity targeting models, commercial offers, and business value frameworks that equip field teams to win engaged workloads and attach data to AI.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n15 years of experience in enterprise cloud, data, or AI architecture and GTM leadership, with experience scaling $1B+ businesses.\nExperience designing and executing global consumption GTM motions, commercial commit, quota models, or specialist plays.\nExperience with architecture across modern data platforms and C-suite engaged agreements.\nPreferred qualifications:\nMaster’s degree in Computer Science, Engineering or Business (MBA), with cloud data architecture experience.\nExperience implementing multi-year 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