US: $224000 - $311000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Define 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.
Define, 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.
Drive 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.
Architect 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.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
15 years of experience in enterprise cloud, data, or AI architecture and GTM leadership, with experience scaling $1B+ businesses.
Experience designing and executing global consumption GTM motions, commercial commit, quota models, or specialist plays.
Experience with architecture across modern data platforms and C-suite engaged agreements.
Preferred qualifications
Master’s degree in Computer Science, Engineering or Business (MBA), with cloud data architecture experience.
Experience implementing multi-year GTM operating models for consumption businesses, including organizational design, capacity planning, and incentive structures.
Experience building enterprise data and AI solutions using BigQuery, Iceberg lakehouses, Spanner, AlloyDB, Knowledge Catalog, and agentic AI.
Experience applying quantitative analysis, propensity modeling, and pipeline telemetry to support executive resource allocation.
Experience converting executive narratives, value frameworks, and category positioning into business wins with enterprise buyers.
Experience in cloud-native architecture (e.g., database administration and solutions, Machine Learning model development and deployment, modernizing legacy applications).
Bachelor’s degree or equivalent practical experience.
15 years of experience in enterprise cloud, data, or AI architecture and GTM leadership, with experience scaling $1B+ businesses.
Experience designing and executing global consumption GTM motions, commercial commit, quota models, or specialist plays.
Experience with architecture across modern data platforms and C-suite engaged agreements.
